Amazon Practice Questions, Discussions & Exam Topics by our Authors
A SysOps administrator is reviewing AWS Trusted Advisor recommendations. The SysOps administrator notices that all the application servers for a finance application are listed in the Low Utilization Amazon EC2 Instances check. The application runs on three instances across three Availability Zones. The SysOps administrator must reduce...
The goal is to reduce the cost of running the application without affecting its availability or design. Let’s evaluate each option:
A) Reduce the number of application servers.
- Why it’s not selected: Reducing the number of application servers would impact the availability and redundancy of the application. The application runs on three instances across three Availability Zones, which is designed for high availability. Removing instances would reduce this availability and resilience. Therefore, this option does not meet the requirement of not affecting the application's availability or design.
B) Apply rightsizing recommendations from AWS Cost Explorer to reduce the instance size.
- Why it’s selected: Rightsizing involves adjusting the instance size to match the actual usage and performance needs of the application. If the instances are underutilized, AWS Cost Explorer can recommend reducing the instance size. This solution reduces costs without compromising availability or functionality, as it ensures the instances are not oversized for the workload they handle. This is an efficient cost optimization method without any adverse effect on the design.
C) Provision an Application Load Balancer in front of the instances.
- Why it’s not selected: The application already...
Author: Benjamin · Last updated Jul 17, 2026
A company hosts its website in the us-east-1 Region. The company is preparing to deploy its website into the eu-central-1 Region. Website visitors who are located in Europe should access the website that is hosted in eu-central-1. All other visitors access the website that is hosted in us-east-1. The company uses Amazon Route 53 to man...
To meet the requirements of directing website visitors based on their location (Europe to eu-central-1 and all others to us-east-1), the SysOps administrator needs to choose the appropriate Amazon Route 53 routing policy that can ensure traffic is routed based on geographic location. Let's evaluate each option:
A) Geolocation routing policy
- Why it’s selected: The Geolocation routing policy allows Route 53 to route traffic based on the geographic location of the DNS query. This is exactly what the company needs, as it can route visitors located in Europe to the website hosted in the eu-central-1 Region, while routing all other visitors to the website hosted in us-east-1. This method directly addresses the requirement of directing traffic based on the user's geographic location.
B) Geoproximity routing policy
- Why it’s not selected: The Geoproximity routing policy is used when routing traffic based on the proximity of the user to the resources, and it allows for adjusting traffic flow based on geographic regions and resource weights. It is primarily useful for controlling traffic based on proximity to specific endpoints, but in this case, the company wants traffic routed based on the region (Europe vs. other locations). The geolocation policy is a better fi...
Author: MoonlitPantherX · Last updated Jul 17, 2026
An organization with a large IT department has decided to migrate to AWS. With different job functions in the IT department, it is not desirable to give all users access to all AWS resources. Currently the organization handles access ...
In this scenario, the organization wants to continue using its existing LDAP group membership for access control while migrating to AWS. The goal is to maintain current authentication methods and avoid giving broad access to all AWS resources for every user. Let's evaluate each option:
A) Create an AWS Directory Service Simple AD. Replicate the on-premises LDAP directory to Simple AD.
- Why it’s not selected: While AWS Directory Service with Simple AD can integrate with existing directories, it is typically used for managing users and groups in AWS-managed Active Directory environments. However, Simple AD does not natively support fine-grained access control to AWS resources in a way that integrates seamlessly with IAM roles or policies. This option doesn’t fully address the need to manage access control to AWS resources based on LDAP group membership.
B) Create a Lambda function to read LDAP groups and automate the creation of IAM users.
- Why it’s not selected: While it’s possible to use a Lambda function to automate IAM user creation based on LDAP group membership, this approach introduces complexity and requires ongoing maintenance. Additionally, it doesn’t provide a direct way to federate existing LDAP credentials for authentication, which would make the process cumbersome for the organization. A better approach is to integrate with IAM through a federated identity system rather than manually managing users and permissions via Lambda.
C) Use AWS CloudFormation to create IAM roles. Deploy Direct Connect to allow access to the on-premises LDAP server.
- ...
Author: MoonlitPantherX · Last updated Jul 17, 2026
A SysOps administrator has created an Amazon EC2 instance using an AWS CloudFormation template in the us-east-1 Region. The administrator finds that this template has failed to create ...
The issue here is related to the CloudFormation template failing to create an EC2 instance in the us-west-2 Region, while it successfully created one in the us-east-1 Region. Let's evaluate each possible cause:
A) Resource tags defined in the CloudFormation template are specific to the us-east-1 Region.
- Why it’s not selected: Resource tags are metadata attached to resources and can be created in any region where the resource exists. Tags are region-agnostic in terms of their structure—they will exist as long as the resources are created in the respective region. The failure of creating an EC2 instance in us-west-2 is not likely due to tags, as this would not prevent the creation of the instance itself.
B) The Amazon Machine Image (AMI) ID referenced in the CloudFormation template could not be found in the us-west-2 Region.
- Why it’s selected: The AMI ID used in the template might be specific to the us-east-1 Region. Each AWS region has its own set of AMI IDs, and an AMI ID from us-east-1 would not exist in us-west-2 unless it was specifically copied to that region. If the CloudFormation template refers to an AMI that is available only in us-east-1, the creation of the EC2 instance in us-west-2 would fail because the AMI cannot be found in the target region. This is a common cause of failure when launching EC2 i...
Author: RadiantJaguar56 · Last updated Jul 17, 2026
A global gaming company is preparing to launch a new game on AWS. The game runs in multiple AWS Regions on a fleet of Amazon EC2 instances. The instances are in an Auto Scaling group behind an Application Load Balancer (ALB) in each Region. The company plans to use Amazon Route 53 for DNS services. The DNS configuration must direct users to the Region that is closest to them an...
To solve this scenario, we need to meet the following key requirements:
1. Direct users to the closest region: This ensures that users are routed to the region nearest to them for low latency and optimal performance.
2. Automated failover: This ensures that if one region experiences an issue, traffic is routed to a healthy region automatically.
Let's go through the options step by step:
Option A: Create Amazon CloudWatch alarms that monitor the health of the ALB in each Region. Configure Route 53 DNS failover by using a health check that monitors the alarms.
- Explanation: This option suggests creating CloudWatch alarms to monitor the Application Load Balancer (ALB), and then configuring Route 53 failover based on those alarms. Monitoring the health of the ALB is a good idea since it provides a clear picture of the health of the infrastructure for serving requests, including the underlying EC2 instances. If the ALB is healthy, it indicates that the service in that region is healthy. Using this with a DNS failover configuration ensures that Route 53 can route traffic away from unhealthy regions.
- Why it’s correct: Monitoring the ALB is a valid approach because it represents a higher-level service that includes checks on both the network layer and the application layer. By using a health check tied to ALB health, we can trigger automated failover when an entire region's infrastructure fails (i.e., the ALB stops responding).
Option B: Create Amazon CloudWatch alarms that monitor the health of the EC2 instances in each Region. Configure Route 53 DNS failover by using a health check that monitors the alarms.
- Explanation: This option focuses on monitoring individual EC2 instances in each region using CloudWatch alarms. While it could technically work, this approach may not be ideal since it’s less comprehensive than monitoring the ALB itself. If a single EC2 instance fails, this could trigger failover even if the region as a whole remains operational, leading to unnecessary failover.
- Why it’s rejected: Monitoring EC2 instances individually is not optimal because failure of a single instance might not imply a complete region failure. The ALB's health check is a better indicator for regional failure, as it tracks whether the entire load-balancing and application-serving layer is operational.
Option C: Configure Route 53 DNS failover by using a health check that monitors the private IP ...
Author: Maya2022 · Last updated Jul 17, 2026
A SysOps administrator is investigating a company's web application for performance problems. The application runs on Amazon EC2 instances that are in an Auto Scaling group. The application receives large traffic increases at random times throughout the day. During periods of rapid traffic increases, the Auto Scaling group is not adding capacity fast enough. As a result, users are experiencing poor performance.
The company wants to minimize costs without adversely affecting the user experience when web traffic surges quickly. The compa...
The goal in this scenario is to address rapid traffic increases effectively while minimizing costs and ensuring that the Auto Scaling group adds more capacity for larger traffic increases and fewer instances for smaller traffic increases.
Let's analyze the options:
Option A: Create a simple scaling policy with settings to make larger adjustments in capacity when the system is under heavy load.
- Explanation: A simple scaling policy involves defining a specific threshold (e.g., CPU usage or network traffic) and an associated action (e.g., scale up by a fixed number of instances). However, simple scaling policies are less flexible and don’t allow for fine-grained control over the scaling behavior when the load varies significantly. They will add or remove a fixed number of instances, regardless of whether the traffic increase is small or large.
- Why it’s rejected: Simple scaling policies are too basic to meet the requirement of making larger adjustments when there's a significant increase in traffic. They don’t differentiate between large and small traffic surges effectively.
Option B: Create a step scaling policy with settings to make larger adjustments in capacity when the system is under heavy load.
- Explanation: Step scaling policies allow you to define multiple thresholds and corresponding actions, where the number of instances added or removed depends on the severity of the traffic increase. This is more advanced than simple scaling policies because it allows you to scale more aggressively (i.e., add more instances) when the load is high and scale more conservatively when the load is moderate.
- Why it’s selected: Step scaling gives more control over how the Auto Scaling group responds to varying traffic levels. You can configure step scaling to add more capacity for large traffic increases and fewer instances for smaller traffic increases, meeting the company's requirement. This approach is the best fit for handling varying traffic patterns and optimizing resource al...
Author: Lucas · Last updated Jul 17, 2026
A company has a compliance requirement that no security groups can allow SSH ports to be open to all IP addresses. A SysOps administrator must implement a solution that will notify the company's SysOps team when a security group rule violates this requirement. The s...
To meet the requirement of notifying the SysOps team and automatically remediating non-compliant security group rules, the solution needs to be able to:
1. Detect when a security group rule violates the compliance requirement (e.g., allowing SSH ports to be open to all IP addresses).
2. Notify the SysOps team of the violation.
3. Automatically remediate the non-compliant rule (i.e., remove the rule allowing SSH access from all IPs).
Let's evaluate the options:
Option A: Create an Amazon EventBridge (Amazon CloudWatch Events) rule that invokes an AWS Lambda function when a security group changes. Configure the Lambda function to evaluate the security group for compliance, remove all inbound security group rules on all ports, and notify the SysOps team if the security group is noncompliant.
- Explanation: This option uses Amazon EventBridge to monitor security group changes and invokes a Lambda function to evaluate compliance. The Lambda function then removes all inbound rules for all ports (which is overkill) and notifies the SysOps team.
- Why it’s rejected: Removing all inbound security group rules on all ports is too broad and could disrupt legitimate configurations of the security groups. Additionally, the Lambda function's logic seems too aggressive as it will remove all rules, not just the non-compliant SSH rule.
Option B: Create an AWS CloudTrail metric filter for security group changes. Create an Amazon CloudWatch alarm to notify the SysOps team through an Amazon Simple Notification Service (Amazon SNS) topic when the metric is greater than 0. Subscribe an AWS Lambda function to the SNS topic to remediate the security group rule by removing the rule.
- Explanation: This option uses AWS CloudTrail to capture security group changes and CloudWatch alarms to notify the team when a change occurs. The Lambda function is subscribed to the SNS topic and performs remediation by removing the violating rule.
- Why it’s rejected: While this option does use CloudTrail and CloudWatch alarms effectively, the proposed Lambda function simply removes the rule. However, it doesn't provide sufficient control or scope to ensure that only the non-compliant rule is removed (i.e., SSH access from all IP addresses) without possibly removing other necessary rules.
Option C: Activate the AWS Config restricted-ssh managed rule. Add automatic remediation to the AWS Config rule by using the AWS Systems Manager Automation AWS-DisablePublicAccessForSecurityGroup runbook. Create an Amazon EventBridge (Amazon Cl...
Author: Noah · Last updated Jul 17, 2026
A company has an application that runs only on Amazon EC2 Spot Instances. The instances run in an Amazon EC2 Auto Scaling group with scheduled scaling actions. However, the capacity does not always increase at the scheduled times, and instances terminate many times a day. A SysOps administr...
To ensure that EC2 instances are launched on time and experience fewer interruptions while running in an Auto Scaling group with Spot Instances, we need to consider strategies that reduce the likelihood of interruptions, particularly Spot Instance terminations, and improve the reliability of capacity scaling.
Let's evaluate each option:
Option A: Specify the capacity-optimized allocation strategy for Spot Instances. Add more instance types to the Auto Scaling group.
- Explanation: The capacity-optimized allocation strategy is designed to prioritize Spot Instances in the most stable capacity pools, which reduces the chances of interruptions due to capacity shortages. By adding more instance types to the Auto Scaling group, you increase the available capacity and flexibility, helping ensure that the instances can launch and scale even during high-demand periods.
- Why it's selected: This option addresses both issues—ensuring that Spot Instances are launched in stable capacity pools (which reduces interruptions) and providing more flexibility with multiple instance types. This combination increases the likelihood that instances will be available when needed, improving both the on-time scaling and reducing interruptions.
Option B: Specify the capacity-optimized allocation strategy for Spot Instances. Increase the size of the instances in the Auto Scaling group.
- Explanation: While the capacity-optimized allocation strategy helps with fewer Spot Instance interruptions, increasing the size of the instances does not directly address the root cause of the problem—instance terminations. Additionally, larger instances may not necessarily reduce the chance of interruptions unless more stable capacity pools are available for larger instance types.
- Why it’s rejected: Increasing the instance size does not directly mitigate interruptions. It would only change the size of the individual instances but doesn’t impact the underlying Spot Instance availability or the ...
Author: RadiantJaguar56 · Last updated Jul 17, 2026
A company plans to deploy a database on an Amazon Aurora MySQL DB cluster. The database will store data for a demonstration environment. The data must be reset on a daily basis.
W...
The goal here is to find an operationally efficient solution for resetting the data in an Amazon Aurora MySQL DB cluster on a daily basis. The solution must minimize administrative overhead while ensuring that the data is reset every day for the demonstration environment.
Let’s evaluate each option:
Option A: Create a manual snapshot of the DB cluster after the data has been populated. Create an Amazon EventBridge (Amazon CloudWatch Events) rule to invoke an AWS Lambda function on a daily basis. Configure the function to restore the snapshot and then delete the previous DB cluster.
- Explanation: This option involves creating a manual snapshot and using EventBridge to trigger a Lambda function daily to restore the snapshot and delete the previous DB cluster.
- Why it’s rejected: While this approach can work, it introduces unnecessary complexity with deleting the previous DB cluster. Additionally, manual snapshots require extra management, and there’s potential for errors in the restoration or deletion process. It is not the most efficient method in terms of both operational overhead and automation.
Option B: Enable the Backtrack feature during the creation of the DB cluster. Specify a target backtrack window of 48 hours. Create an Amazon EventBridge (Amazon CloudWatch Events) rule to invoke an AWS Lambda function on a daily basis. Configure the function to perform a backtrack operation.
- Explanation: The Backtrack feature allows you to roll back the database to a previous state. In this case, it would allow you to go back to the state from the start of the previous day. However, the backtrack window would need to be set up in a way that keeps the history for 48 hours, and this may not always align with the daily reset requirement.
- Why it’s rejected: Backtrack works well for undoing changes, but it has limitations in terms of the granularity and operational efficiency for daily resets. It might not be ideal for resetting the database state to a clean state as it could involve a longer and more complex setup, especially if the backtrack window is not precisely aligned with the required time frame.
Option C: Export a manual snapshot of the DB cluster to an Amazon S3 bucke...
Author: Elizabeth · Last updated Jul 17, 2026
A SysOps administrator is setting up an automated process to recover an Amazon EC2 instance in the event of an underlying hardware failure. The recovered instance must have the same private IP address and the same Elastic IP address that the original instance had. The SysOps team m...
Let's break down each option to determine which best meets the given requirements:
Key Requirements:
- Recover the EC2 instance in the event of an underlying hardware failure.
- Maintain the same private IP address and Elastic IP address.
- Send an email notification to the SysOps team when recovery is initiated.
Option A: CloudWatch Alarm for StatusCheckFailed_Instance
- Explanation: This option uses an Amazon CloudWatch alarm with the `StatusCheckFailed_Instance` metric. If an instance fails the status check, the alarm will trigger an EC2 recovery action. Additionally, an SNS notification is sent to alert the SysOps team.
- Private IP/Elastic IP Handling: This option does not directly address the issue of maintaining the same private IP address and Elastic IP address after recovery. While CloudWatch alarms can trigger recovery, there is no guarantee the instance will be recovered with the same IPs.
- Notification: The SNS notification to the SysOps team works, which satisfies part of the notification requirement.
- Why it's not ideal: Although it helps with recovery through EC2 instance action, it doesn't explicitly address the need for the same private IP address and Elastic IP address.
Option B: CloudWatch Alarm for StatusCheckFailed_System
- Explanation: This option uses a CloudWatch alarm with the `StatusCheckFailed_System` metric. This checks for system-level failures (such as issues with underlying hardware) and can trigger an EC2 recovery action. SNS notification is also included.
- Private IP/Elastic IP Handling: Like Option A, this option does not ensure that the instance is recovered with the same private IP and Elastic IP addresses. EC2 recovery actions do not automatically guarantee that the original IP configurations will persist.
- Notification: Similar to Option A, the alarm sends an SNS notification to the SysOps team, fulfilling the notification requirement.
- Why it's not ideal: Again, it doesn’t guarantee that the instance will retain the original private IP or Elastic IP address upon recovery.
Option C: Auto S...
Author: Sofia2021 · Last updated Jul 17, 2026
A company has a public website that recently experienced problems. Some links led to missing webpages, and other links rendered incorrect webpages. The application infrastructure was running properly, and all the provisioned resources were healthy. Application logs and dashboards did not show any errors, and no monitoring alarms were raised. Systems administrators were not aware of any problems until end users reported the issues.
The company needs to...
Let’s break down each option based on the requirements: to proactively monitor the website for issues and minimize operational overhead.
Key Factors to Consider:
- Proactive monitoring: The solution must automatically detect website issues before end users report them.
- Low operational overhead: The solution should not require complex maintenance or manual intervention.
- Real-time alerting: Alerts should be triggered when issues occur, even if application logs and dashboards are not reporting errors.
Option A: Custom Error Logging and CloudWatch Alarm
- Explanation: This option suggests rewriting the application to log custom errors and then setting up CloudWatch to parse logs and trigger alarms when errors are detected.
- Proactive monitoring: This is more reactive because it requires the application to log errors first, which may not catch all issues (such as missing or incorrect webpages) immediately.
- Operational overhead: This requires modifying the application, adding custom error handling, and continuously parsing logs, which adds complexity and maintenance overhead.
- Why it's not ideal: It's not an ideal proactive monitoring solution, as it requires the application itself to recognize and log errors, which may not cover all types of issues (like broken links or rendering errors). It also adds development and maintenance overhead.
Option B: AWS Lambda Function to Test the Website
- Explanation: This option involves creating an AWS Lambda function to periodically test the website, emitting a CloudWatch custom metric for errors, and setting up alarms.
- Proactive monitoring: This can be a proactive monitoring solution, as the Lambda function can be configured to check for errors on the website.
- Operational overhead: While Lambda is scalable, it still requires writing and maintaining custom test scripts. This solution is more complex than necessary for simply monitoring website availability and correctness.
- Why it's not ideal: While it provides the ability to test the website, it involves more operational ov...
Author: Layla · Last updated Jul 17, 2026
A SysOps administrator is responsible for a company's security groups. The company wants to maintain a documented trail of any changes that are made to the security groups. The SysOps administrator must receive noti...
Let's evaluate each option based on the requirements:
1. Maintain a documented trail of changes: We need a solution that records changes to security groups and stores those changes for auditing.
2. Notification of changes: The SysOps administrator must be notified whenever a security group change occurs.
3. Minimal operational overhead: The solution should not require excessive management or maintenance.
Option A: Amazon Detective for Security Group Changes
- Explanation: Amazon Detective is designed for security investigations, not configuration management. While it helps with analyzing security incidents or identifying potential security issues, it is not tailored for recording configuration changes like security group modifications.
- Documenting changes: Detective does not provide the ability to store a documented trail of configuration changes or security group modifications.
- Notification: While you could set up an SQS queue for notifications, Amazon Detective does not have the capability to track and notify changes to security groups.
- Why it's not ideal: This option is not designed for tracking configuration changes and does not meet the need for monitoring security group modifications.
Option B: AWS Systems Manager Change Manager for Security Group Changes
- Explanation: AWS Systems Manager Change Manager is a service for tracking and managing infrastructure changes across your AWS environment. It allows for change management workflows, but it's typically used for managing changes to EC2 instances, patches, and configuration management. It is not specifically intended for tracking changes to security groups.
- Documenting changes: While Change Manager can document changes, it's not specifically designed for monitoring security groups.
- Notification: SNS notifications can be set up for changes, but this option isn't as direct or ...
Author: Layla · Last updated Jul 17, 2026
An ecommerce company has built a web application that uses an Amazon Aurora DB cluster. The DB cluster includes memory optimized instance types with both a writer node and a reader node. Traffic volume changes throughout the day. During sudden traffic surges, Amazon CloudWatch metrics for the DB cluster indicate high RAM consumption and an increase in select latency.
A SysOps administrator must implement a configu...
Let’s evaluate each option in terms of the requirements: improving the performance of the Amazon Aurora DB cluster during traffic surges, minimizing downtime, and ensuring no data loss.
Key Requirements:
1. Improve performance: High RAM consumption and increased select latency need to be addressed.
2. Minimize downtime: The solution should have minimal impact on application availability.
3. No data loss: Changes should not result in data loss.
Option A: Add an Aurora Replica to the DB cluster
- Explanation: Adding an Aurora Replica can help with performance by offloading read queries to the replica, reducing the load on the writer node. Aurora Replicas are read-only copies of the database that can help improve read scalability.
- Improve performance: Adding an Aurora Replica could alleviate pressure on the writer node by handling read-heavy traffic, but it does not address the high RAM consumption on the writer node during surges.
- Minimize downtime: Adding an Aurora Replica is a non-disruptive operation, and it minimizes downtime.
- No data loss: Since this is a read-only replica, no data loss occurs.
- Why it’s not ideal: Although it helps with read scaling, this does not directly address the high RAM consumption and select latency on the writer node, which are primarily due to the write-heavy traffic or insufficient memory resources.
Option B: Modify the DB cluster to convert the DB cluster into a multi-master DB cluster
- Explanation: A multi-master DB cluster allows both nodes to handle read and write traffic, potentially improving write scalability. However, this configuration can be complex to manage and comes with trade-offs related to conflict resolution and data consistency.
- Improve performance: Multi-master clusters can improve scalability in write-heavy workloads by distributing write operations across multiple nodes.
- Minimize downtime: Converting to a multi-master DB cluster involves more complexity and could result in some downtime during the transition.
- No data loss: The change would not cause data loss, but there is an increased risk of conflicts in multi-master setups.
- Why it’s not ideal: This change introduces complexity, increased ...
Author: Lucas · Last updated Jul 17, 2026
A company has a simple web application that runs on a set of Amazon EC2 instances behind an Elastic Load Balancer in the eu-west-2 Region. Amazon Route 53 holds a DNS record for the application with a simple routing policy. Users from all over the world access the application through their web browsers.
The company needs to create additional copies of the application in the us-east-1 Region and in the ap-south-1 Region. The ...
Let's analyze each option in detail to determine which one best meets the requirements of directing users to the Region with the fastest response times:
Key Requirements:
- Multiple Regions: The application needs to be available in three regions: eu-west-2 (existing), us-east-1, and ap-south-1.
- Fastest response times: Users should be directed to the Region that provides the fastest response times.
- Routing based on performance: The solution should direct traffic to the region with the best performance (lowest latency).
Option A: In each new Region, create a new Elastic Load Balancer and a new set of EC2 instances to run a copy of the application. Transition to a geolocation routing policy.
- Explanation: A geolocation routing policy in Amazon Route 53 routes traffic based on the user's geographic location (e.g., Europe, North America, etc.).
- How it meets requirements: The geolocation policy will route users based on where they are located, but it does not necessarily direct users to the fastest region in terms of latency. For example, users from Europe might be routed to the eu-west-2 region, even if us-east-1 is faster.
- Why it’s not ideal: Geolocation routing ensures traffic is routed to specific regions based on the user's location, not based on latency or performance. The company needs a solution that chooses the region with the fastest response time, not just the region closest to the user.
Option B: In each new Region, create a copy of the application on new EC2 instances. Add these new EC2 instances to the Elastic Load Balancer in eu-west-2. Transition to a latency routing policy.
- Explanation: This option suggests adding EC2 instances from other regions (us-east-1 and ap-south-1) to the existing Elastic Load Balancer in eu-west-2 and using latency-based routing in Route 53.
- How it meets requirements: Latency routing directs traffic to the region with the lowest network latency. However, all EC2 instances should ideally be registered with a load balancer in the region where they reside. Adding EC2 instances from different regions into the same load balancer in eu-west-2 is not supported by Elastic Load Balancing. Therefore, this solution is not technically feasible.
- Why it’s not ideal: This configuration...
Author: William · Last updated Jul 17, 2026
A company creates a new member account by using AWS Organizations. A SysOps administrator needs to add AWS Business Support to the new account.
Which combination of steps...
In order to add AWS Business Support to a new account that was created using AWS Organizations, the SysOps administrator needs to take specific actions based on AWS policies for managing support plans. Here is an analysis of the options:
Option A: Sign in to the new account by using IAM credentials. Change the support plan.
- Rejected: While signing in as an IAM user is possible, IAM users do not have the required permissions to modify the AWS Support plan. Only the root user or users with specific permissions related to billing can modify the support plan. Therefore, this option is not valid.
Option B: Sign in to the new account by using root user credentials. Change the support plan.
- Selected: The root user has full permissions in an AWS account, including the ability to modify the AWS Support plan. Therefore, signing in as the root user and changing the support plan is a valid and appropriate step to enable AWS Business Support for the new account.
Option C: Use the AWS Support API to change the support plan.
- Rejected: Changing the support plan via the AWS Support API is not the preferred or typical method to add AWS Business Suppo...
Author: Kai · Last updated Jul 17, 2026
A SysOps administrator creates two VPCs, VPC1 and VPC2, in a company's AWS account The SysOps administrator deploys a Linux Amazon EC2 instance in VPC1 and deploys an Amazon RDS for MySQL DB instance in VPC2. The DB instance is deployed in a private subnet. An application that runs on the EC2 instance needs t...
To allow the EC2 instance in VPC1 to connect to the Amazon RDS for MySQL DB instance in VPC2, the SysOps administrator needs to establish network connectivity between the two VPCs. Let’s analyze the options provided:
Option A: Enter the DB instance connection string into the VPC1 route table.
- Rejected: The route table does not handle connection strings; it manages network routes between subnets and VPCs. To allow traffic between VPCs, you need to establish proper routing (e.g., via peering, VPN, etc.) but entering the connection string in the route table is not the right approach. Route tables help direct traffic based on IP addresses, not connection strings.
Option B: Configure VPC peering between the two VPCs.
- Selected: VPC peering allows communication between two VPCs. When you set up VPC peering, you can configure routing between the VPCs to enable the EC2 instance in VPC1 to connect to the RDS instance in VPC2. After peering the VPCs, the SysOps administrator would also need to modify the route tables to allow traffic to flow between the two VPCs. This option i...
Author: David · Last updated Jul 17, 2026
A company uses an Amazon S3 bucket to store data files. The S3 bucket contains hundreds of objects. The company needs to replace a tag on all the objects in the S3 bucket with another...
To replace a tag on all objects in an Amazon S3 bucket with another tag, the most operationally efficient way should minimize manual intervention, scale automatically, and use AWS native features. Let's evaluate each option:
Option A: Use S3 Batch Operations. Specify the operation to replace all object tags.
- Selected: S3 Batch Operations is designed to handle large-scale object management tasks like applying operations on multiple objects at once. You can specify a batch operation to replace tags on all objects in the S3 bucket, which is straightforward and scalable. This is the most operationally efficient option because it handles everything in a single, automated step without needing manual intervention or separate commands.
Option B: Use the AWS CLI to get the tags for each object. Save the tags in a list. Use S3 Batch Operations. Specify the operation to delete all object tags. Use the AWS CLI and the list to retag the objects.
- Rejected: This option requires multiple manual steps, including using the AWS CLI to get the tags and saving them in a list. While it involves S3 Batch Operations for deleting tags, it still requires separate steps to retag the objects manually using the CLI. This introduces unnecessary complexity and is not as efficient as Option A, which can replace the tags directly in one operation.
Option C: U...
Author: Mia · Last updated Jul 17, 2026
A company needs to take an inventory of applications that are running on multiple Amazon EC2 instances. The company has configured users and roles with the appropriate permissions for AWS Systems Manager. An updated version of Systems Manager Agent has been installed and is running on every instance. While configuring an inventory collection, a SysOps admini...
In this scenario, the issue is that not all Amazon EC2 instances in a single subnet are being managed by AWS Systems Manager, even though the Systems Manager Agent is installed and running on every instance. Let’s evaluate the options to understand which one is most appropriate for fixing this issue.
Option A: Ensure that all the EC2 instances have the correct tags for Systems Manager access.
- Rejected: While tags can be useful for identifying resources, they are not the core requirement for enabling Systems Manager to manage EC2 instances. The ability of Systems Manager to manage an instance is primarily determined by whether the instance has the proper IAM role (instance profile) and the necessary permissions, not by its tags. Therefore, this option does not address the root cause of the issue.
Option B: Configure AWS Identity and Access Management (IAM) Access Analyzer to determine and automatically remediate the issue.
- Rejected: IAM Access Analyzer helps identify permissions issues related to IAM roles, policies, and resource access. However, this tool is not designed to resolve connectivity or configuration issues specifically related to Systems Manager, such as the lack of required IAM instance profiles or missing networking configuration. It is not the most appropriate tool for addressing EC2 instance management by Systems Manager.
Option C: Ensure that all the EC2 instances have an instance profile with Systems M...
Author: ShadowWolf101 · Last updated Jul 17, 2026
A company stores sensitive data in an Amazon S3 bucket. The company must log all access attempts to the S3 bucket. The company's risk team must receive immediate notificati...
Let's evaluate each option based on the requirements:
- Requirement 1: Log all access attempts to the S3 bucket.
- Requirement 2: Notify the risk team immediately when a delete event occurs.
Option A: Enable S3 server access logging for audit logs. Set up an Amazon Simple Notification Service (Amazon SNS) notification for the S3 bucket. Select DeleteObject for the event type for the alert system.
- Rejected: S3 server access logging logs requests made to the bucket, but it does not provide real-time notifications for specific events like `DeleteObject`. SNS can be set up to notify on specific events, but for delete events specifically, you would need S3 Event Notifications configured, not just server access logging. This option doesn't meet the real-time notification requirement for delete events.
Option B: Enable S3 server access logging for audit logs. Launch an Amazon EC2 instance for the alert system. Run a cron job on the EC2 instance to download the access logs each day and scan for a DeleteObject event.
- Rejected: While this method could theoretically work, it’s not operationally efficient. It involves manually scanning logs on an EC2 instance, which introduces unnecessary complexity and a delay (scanning logs daily, not in real time). This approach doesn’t provide immediate notifications for delete events and would be more resource-intensive than necessary.
Option C: Use Amazon CloudWatch Logs for audit logs. Use Amazon CloudWatch alarms with an Amazon Simple Notification Servi...
Author: Nia · Last updated Jul 17, 2026
A SysOps administrator receives an alert from Amazon GuardDuty about suspicious network activity on an Amazon EC2 instance. The GuardDuty finding lists a new external IP address as a traffic destination. The SysOps administrator does not recognize the external IP address. The SysOps adminis...
To address the situation where a SysOps administrator receives a suspicious alert from Amazon GuardDuty about an EC2 instance and wants to block traffic to an external IP address, let's evaluate the options:
A) Create a new security group to block traffic to the external IP address. Assign the new security group to the EC2 instance.
- Explanation: Security groups in AWS are stateful, and they act as a virtual firewall to control inbound and outbound traffic for EC2 instances. However, security groups operate based on traffic that is allowed, not specifically blocked. They cannot be used to block traffic to specific IP addresses directly. You can allow traffic from certain IPs, but a security group does not provide a direct way to deny traffic to an IP.
- Why rejected: Since security groups are based on "allow" rules and do not allow for direct "deny" rules for specific IPs, this approach is not ideal for blocking a suspicious IP address.
B) Use VPC flow logs with Amazon Athena to block traffic to the external IP address.
- Explanation: VPC Flow Logs allow you to capture information about the IP traffic going to and from network interfaces in your VPC. Amazon Athena can be used to query and analyze flow logs. However, while you can identify suspicious traffic using this approach, it does not directly block or control traffic. Athena is mainly a tool for querying data, not for taking action to block traffic.
- Why rejected: This approach involves monitoring and analyzing traffic but does not provide a way to block the traffic. Thus, it does not meet the requirement to block traf...
Author: Maya2022 · Last updated Jul 17, 2026
A company's reporting job that used to run in 15 minutes is now taking an hour to run. An application generates the reports. The application runs on Amazon EC2 instances and extracts data from an Amazon RDS for MySQL database.
A SysOps administrator checks the Amazon CloudWatch dashboard for the RDS instance and notices that the Read IOPS metrics are high, even when the reports...
To address the performance issue where a reporting job has gone from 15 minutes to 1 hour and high Read IOPS metrics are noticed even when reports are not running, let's evaluate each solution:
A) Configure an Amazon ElastiCache cluster in front of the RDS instance. Update the reporting job to query the ElastiCache cluster.
- Explanation: ElastiCache is typically used for caching data, which can reduce the load on a database by serving frequently accessed data from the cache. However, the reporting job would need to be modified to query ElastiCache, which may not necessarily help if the application relies on up-to-date data from the database. While ElastiCache can speed up some queries by caching results, it doesn't directly address the high IOPS issue on the RDS instance, and it may require significant changes to the application to use cache data properly.
- Why rejected: This solution is more suited for reducing load on frequently accessed, static data rather than solving the issue of high Read IOPS in a transactional database. ElastiCache isn't a good fit for an application that requires up-to-date database queries.
B) Deploy an RDS read replica. Update the reporting job to query the reader endpoint.
- Explanation: An RDS read replica is a good solution for offloading read-heavy operations from the primary database. By creating a read replica, you can direct the reporting job to the reader endpoint, which can reduce the load on the primary RDS instance. This helps in reducing the high Read IOPS on the main RDS instance by distributing read traffic across the primary and read replica instances.
- Why accepted: This solution directly addresses the high Read IOPS issue by distributing read traffic across a read replica. It will improve the performance of the reporting job without modifying the application significantly and will also enhance the availability of the database. Read replicas are designed to handle read-heavy w...
Author: Mia · Last updated Jul 17, 2026
A company's SysOps administrator regularly checks the AWS Personal Health Dashboard in each of the company's accounts. The accounts are part of an organization in AWS Organizations. The company recently added 10 more accounts to the organization. The SysOps administrator must consolidate the ale...
Evaluating each option:
A) Enable organizational view in AWS Health.
- Explanation: Enabling the organizational view in AWS Health allows a consolidated view of health events across all accounts within the organization. This allows the SysOps administrator to view and monitor all the health events from multiple accounts in one place without needing to check each individual account's Personal Health Dashboard.
- Why selected: This solution directly provides the consolidated view of the Personal Health Dashboard for all accounts in the AWS organization with minimal setup and effort. Enabling this feature is very straightforward and does not require additional development or configuration. It's the easiest and most efficient way to meet the requirement.
B) Configure the Personal Health Dashboard in each account to forward events to a central AWS CloudTrail log.
- Explanation: CloudTrail logs AWS API activity, including changes to resources in your AWS environment. However, it does not provide a consolidated view of health events. Configuring CloudTrail to log Personal Health Dashboard events would be complex, as CloudTrail is not designed to capture specific health alerts. Also, aggregating and interpreting the logs would require additional processing.
- Why rejected: This option is unnecessarily complicated. It would require additional setup and would not provide a consolidated view of health events in a user-friendly way, making it less ideal compared to enabling the organizational view in AWS Health.
C) Create an AWS Lambda function to query the AWS Health API and to write al...
Author: Ming · Last updated Jul 17, 2026
A company runs an application on Amazon EC2 instances. The EC2 instances are in an Auto Scaling group and run behind an Application Load Balancer (ALB). The application experiences errors when total requests exceed 100 requests per second. A SysOps administrator must collect information about total requests fo...
Evaluating each option:
A) Use the ALB's RequestCount metric. Configure a time range of 2 weeks and a period of 1 minute. Examine the chart to determine peak traffic times and volumes.
- Explanation: The RequestCount metric from the Application Load Balancer (ALB) in CloudWatch provides a count of the total requests handled by the ALB. This metric can be used to monitor the total number of requests per second (or minute) over time. By setting a time range of 2 weeks and a period of 1 minute, the SysOps administrator can examine when traffic exceeded 100 requests per second and determine peak traffic times and volumes.
- Why selected: This solution is straightforward because it leverages existing CloudWatch metrics for the ALB. The ALB already tracks request counts, so there is no need for custom metrics or complex configurations. The time range and period can be configured to capture the desired 2-week window, making it an efficient way to gather the necessary data.
B) Use Amazon CloudWatch metric math to generate a sum of request counts for all the EC2 instances over a 2-week period. Sort by a 1-minute interval.
- Explanation: While using metric math to aggregate data from individual EC2 instances could be useful, this solution is more complex than necessary. The ALB already provides the RequestCount metric, which is aggregated across all instances behind the load balancer. Creating custom math formulas for EC2 instances adds unnecessary complexity without providing any additional benefit.
- Why rejected: Since the ALB already provides an aggregate request count, there's no need to calculate this manually from EC2 instances. This method introduces extra effort without improving the accuracy or utility of the data.
C...
Author: Liam · Last updated Jul 17, 2026
A company recently migrated its application to a VPC on AWS. An AWS Site-to-Site VPN connection connects the company's on-premises network to the VPC. The application retrieves customer data from another system that resides on premises. The application uses an on-premises DNS server to resolve domain records. After the migration, the application is not able to c...
Evaluating each option:
A) Launch EC2 instances in the VPC. On the EC2 instances, deploy a custom DNS forwarder that forwards all DNS requests to the on-premises DNS server. Create an Amazon Route 53 private hosted zone that uses the EC2 instances for name servers.
- Explanation: In this option, EC2 instances would act as a DNS forwarder to forward DNS queries to the on-premises DNS server. You would also create a Route 53 private hosted zone to manage domain records within the VPC. While this solution could work, it requires the creation and management of EC2 instances, which introduces additional complexity and cost.
- Why rejected: This solution involves managing EC2 instances and DNS forwarding, adding complexity and operational overhead. It's more labor-intensive than needed, as there are simpler options for DNS resolution.
B) Create an Amazon Route 53 Resolver outbound endpoint. Configure the outbound endpoint to forward DNS queries against the on-premises domain to the on-premises DNS server.
- Explanation: Amazon Route 53 Resolver outbound endpoints allow you to forward DNS queries from your VPC to an on-premises DNS server. This solution is designed specifically to address DNS resolution issues when an application in AWS needs to resolve domain names from an on-premises DNS server.
- Why selected: This is the most appropriate and efficient solution. Route 53 Resolver handles DNS forwarding seamlessly, eliminating the need for custom EC2 instances or additional configurations. It's a fully managed, scalable solution with minimal operational overhead. It directly addresses the problem of name resolution for the application that depends on the on-premises DNS server.
C) Set up two AWS Direct Connect connections between the AWS environment and the on-premises network. Set up a link aggregation group (LAG) that includes the two connections. Change the VPC re...
Author: RadiantPhoenixX · Last updated Jul 17, 2026
A company's web application is available through an Amazon CloudFront distribution and directly through an internet-facing Application Load Balancer (ALB). A SysOps administrator must make the application accessible only through the CloudFront distribution and not directly through the ALB. The S...
To meet the requirement of ensuring that the web application is accessible only through the Amazon CloudFront distribution and not directly through the internet-facing Application Load Balancer (ALB), let’s evaluate each option:
Option A: Modify the ALB type to internal. Set the distribution's origin to the internal ALB domain name.
- Reasoning: Changing the ALB type to internal would restrict direct access to the ALB from the internet. By setting the origin in CloudFront to the internal ALB, CloudFront will act as a proxy to the ALB. This method ensures that the application is only accessible through CloudFront.
- Pros: This is a simple and effective solution, as it prevents direct access to the ALB, and CloudFront can handle all incoming traffic.
- Cons: The primary drawback here is that this would change the ALB's public-facing nature, which may not be desirable if the ALB was originally intended to handle direct traffic for specific cases or needs.
- Suitable Scenario: This is useful if the goal is to completely hide the ALB behind CloudFront and there are no other specific needs for direct access to the ALB.
- Rejection: This option changes the ALB to internal, which may not be appropriate for all use cases if the ALB was designed to handle other traffic directly.
Option B: Create a Lambda@Edge function. Configure the function to compare a custom header value in the request with a stored password and forward the request to the origin in case of a match. Associate the function with the distribution.
- Reasoning: Using Lambda@Edge to validate a custom header and conditionally forward the request based on that header is a valid solution. The Lambda function would intercept incoming requests to CloudFront, check for the custom header, and only allow requests with the correct value to be forwarded to the ALB.
- Pros: Flexible solution, highly customizable, and adds an extra layer of security by verifying a custom header before passing the request to the ALB.
- Cons: It adds complexity because of the Lambda function and header validation logic. It also requires additional resources (Lambda@Edge) and can result in higher operational overhead.
- Suitable Scenario: This solution is suitable when you want to implement more granular control and are comfortable managing the custom logic with Lambda.
- Rejection: This adds unnecessary complexity if the goal is to simply ensure CloudFront-only access to the ALB. It introduces custom logic and requires careful management.
Option C: Replace the ALB with a new internal ALB. Set the distribution's origin to the internal ALB domain name. Add a custom HTTP header to the origin settings for the distribution. In the ALB listener, add a rule to forward requests that contain the matching custom header and the header's value. A...
Author: RadiantPhoenixX · Last updated Jul 17, 2026
A company runs several workloads on AWS. The company identifies five AWS Trusted Advisor service quota metrics to monitor in a specific AWS Region. The company wants to receive email notification each time resource us...
Let's evaluate each option based on the requirement to monitor five AWS Trusted Advisor service quota metrics and receive email notifications when usage exceeds 60%:
Option A: Create five Amazon CloudWatch alarms, one for each Trusted Advisor service quota metric. Configure an Amazon Simple Notification Service (Amazon SNS) topic for email notification each time that usage exceeds 60% of one of the service quotas.
- Reasoning: Amazon CloudWatch is the correct service for monitoring AWS resources, including service quotas. By creating CloudWatch alarms for each Trusted Advisor service quota metric, you can set thresholds for when resource usage exceeds 60%. Once the alarm is triggered, it can send notifications via an Amazon SNS topic to an email address.
- Pros: This approach is direct and efficient. CloudWatch alarms are designed specifically for monitoring metrics and can easily trigger notifications to an SNS topic. SNS is a scalable and flexible service for sending notifications, and it integrates seamlessly with CloudWatch.
- Cons: None, as this is the intended solution for monitoring metrics and sending notifications.
- Suitable Scenario: This is the most suitable option as it directly addresses the requirement of monitoring service quota usage and sending email notifications when thresholds are exceeded.
- Selected Option: This is the best option.
Option B: Create five Amazon CloudWatch alarms, one for each Trusted Advisor service quota metric. Configure an Amazon Simple Queue Service (Amazon SQS) queue for email notification each time that usage exceeds 60% of one of the service quotas.
- Reasoning: While CloudWatch alarms can trigger an SQS queue, SQS is typically used for queuing and processing messages rather than sending direct notifications. SQS would require additional steps (e.g., setting up an application to read the queue and send the email), which adds unnecessary complexity compared to using SNS directly.
- Pros: SQS is reliable for message queuing and decoupling services.
- Cons: Adding SQS introduces unnecessary complexity because it requires additional components (such as a process to read the queue and send emails), making this solution more cumbersome for the task at hand.
- Suitable Scenario: This could be used in scenarios wher...
Author: Lina Zhang · Last updated Jul 17, 2026
A company needs to implement a managed file system to host Windows file shares for users on premises. Resources in the AWS Cloud also need access to the data on these file shares. A SysOps administrator needs to present the user file shares on premises and make the user fil...
To meet the requirement of hosting Windows file shares for users on-premises while also making the file shares available on AWS with minimum latency, let's analyze each option:
Option A: Set up an Amazon S3 File Gateway.
- Reasoning: Amazon S3 File Gateway is part of AWS Storage Gateway, which allows on-premises applications to store data in Amazon S3 by presenting an NFS or SMB interface. While this option provides a way to access data in S3 from on-premises, it does not natively support Windows file shares (SMB) with the low latency required by the workload. It is more suited for applications that work with object storage in S3, rather than providing a Windows file system.
- Pros: S3 File Gateway is good for data backup and archival to S3 but does not meet the requirement of hosting a managed file system with Windows file shares.
- Cons: It doesn't support a fully managed Windows file system, and it introduces unnecessary complexity for just sharing files with Windows-based workloads.
- Suitable Scenario: This is better for applications needing access to S3 storage via SMB or NFS, not for a full file share service across both on-premises and AWS.
- Rejection: Does not meet the requirement of providing Windows file shares with low latency.
Option B: Set up an AWS Direct Connect connection.
- Reasoning: AWS Direct Connect provides a dedicated network connection between on-premises infrastructure and AWS. While it can improve network performance and reduce latency, it does not directly address the need for hosting and managing file shares. You would still need a separate service to manage the file shares themselves (such as Amazon FSx or an on-premises file server).
- Pros: Direct Connect offers reliable, low-latency connectivity between on-premises data centers and AWS.
- Cons: It does not provide a file system solution or a way to host and manage Windows file shares. It is purely a network connectivity solution.
- Suitable Scenario: Direct Connect is useful if you already have an appropriate file system solution and need low-latency connectivity, but it doesn't directly help with managing or sharing file systems.
- Rejection: Does not provide a file system; it’s a network solution.
Option C: Use AWS DataSync to automate data transfers between the existing file servers and AWS.
- Reasoning: AWS DataSync is a service used to automate data transfer between on...
Author: James · Last updated Jul 17, 2026
A company is hosting applications on Amazon EC2 instances. The company is hosting a database on an Amazon RDS for PostgreSQL DB instance. The company requires all connections to the DB instance...
To meet the requirement of ensuring all connections to the Amazon RDS for PostgreSQL DB instance are encrypted, let’s analyze each option based on the requirements:
Option A: Allow SSL connections to the database by using an inbound security group rule.
- Reasoning: While security groups control the network access to the RDS instance, they do not control or enforce whether the connections are encrypted. They are simply used to allow or deny traffic based on IP addresses or ports. Enabling SSL encryption for database connections is unrelated to the security group configuration.
- Pros: Security groups are essential for controlling access to RDS instances, but they do not influence whether the connections themselves are encrypted.
- Cons: This option does not address the requirement of enforcing encrypted database connections.
- Rejection: This does not meet the need to enforce encrypted connections to the database.
Option B: Encrypt the database by using an AWS Key Management Service (AWS KMS) encryption key.
- Reasoning: While encrypting the database at rest using AWS KMS provides encryption for the data stored in the RDS instance (data-at-rest encryption), it does not affect the encryption of connections (data-in-transit). This option is related to the storage encryption, not the encryption of network traffic between the application and the database.
- Pros: This option ensures that data is encrypted at rest, which is a good security practice.
- Cons: It does not address the requirement of ensuring that database connections themselves are encrypted.
- Rejection: This option does not fulfill the requirement of encrypting database connections (data-in-transit).
Option C: Enforce SSL connections to the database by using a custom parameter group.
- Reasoning: Amazon RDS for PostgreSQL supports SSL for encrypting connections. A custom p...
Author: ElectricLionX · Last updated Jul 17, 2026
A company recently purchased Savings Plans. The company wants to receive email notification when the company's utilization drops below 90% f...
To meet the requirement of receiving email notifications when the company's Savings Plan utilization drops below 90% for a given day, let's evaluate each option based on the criteria.
Option A: Create an Amazon CloudWatch alarm to monitor the Savings Plan check in AWS Trusted Advisor. Configure an Amazon Simple Queue Service (Amazon SQS) queue for email notification when the utilization drops below 90% for a given day.
- Reasoning: AWS Trusted Advisor provides insights on best practices but doesn't provide direct metrics for Savings Plan utilization. It is not designed to monitor Savings Plan utilization specifically, and using Trusted Advisor for this purpose would not provide the required functionality.
- Pros: Trusted Advisor is useful for checking AWS best practices, but it doesn't directly monitor Savings Plans utilization.
- Cons: This option is not appropriate for tracking Savings Plan usage as Trusted Advisor doesn't offer specific insights into this area.
- Rejection: This option doesn't address the specific need of monitoring Savings Plan utilization.
Option B: Create an Amazon CloudWatch alarm to monitor the SavingsPlansUtilization metric under the AWS/SavingsPlans namespace in CloudWatch. Configure an Amazon Simple Queue Service (Amazon SQS) queue for email notification when the utilization drops below 90% for a given day.
- Reasoning: CloudWatch does support monitoring the SavingsPlansUtilization metric, which measures the usage of your Savings Plans. However, using SQS to send an email notification adds unnecessary complexity. SQS is a message queuing service, which would require an additional process to read from the queue and send the notification. This introduces more complexity than needed.
- Pros: CloudWatch can monitor Savings Plans utilization directly, and it offers the right metric.
- Cons: Using SQS for email notifications complicates the process. SNS would be a simpler and more direct solution for email notifications.
- Rejection: The use of SQS adds unnecessary complexity when SNS can directly handle email notifications.
Option C: Create a Savings Plans alert to monitor the daily utilization of the Savings Plans. Configure an Amazon Simple Notification Service (Amazon SNS) topic for email notification when...
Author: ShadowWolf101 · Last updated Jul 17, 2026
A company uses an Amazon Simple Queue Service (Amazon SQS) standard queue with its application. The application sends messages to the queue with unique message bodies. The company decides to switc...
When migrating from an Amazon SQS standard queue to an SQS FIFO queue, the main objective is to ensure message ordering and deduplication while preserving application functionality. Let's analyze the options and see which one fits the use case:
Option A:
- Create a new SQS FIFO queue.
- Turn on content-based deduplication on the new FIFO queue.
- Update the application to include a message group ID in the messages.
Analysis:
- This is a valid option. Content-based deduplication ensures that messages with identical content (same body) will not be delivered more than once within a 5-minute window, which aligns with the FIFO queue’s features.
- The message group ID is essential because it defines message order within a group.
- Turning on content-based deduplication is ideal when the message body is unique per message but needs deduplication in case the same message body is sent more than once.
Option B:
- Create a new SQS FIFO queue.
- Update the application to include the DelaySeconds parameter in the messages.
Analysis:
- The DelaySeconds parameter is used to delay the delivery of messages in the queue, but it is unrelated to the transition from standard to FIFO. It does not address the critical aspects of message ordering or deduplication. While this option might serve some purposes like deferring message processing, it doesn't solve the migration problem in terms of FIFO requirements.
Option C:
- ...
Author: Joseph · Last updated Jul 17, 2026
A company's SysOps administrator must ensure that all Amazon EC2 Windows instances that are launched in an AWS account have a third-party agent installed. The third-party agent has an .msi package. The company uses AWS Systems Manager for patching, and the Windows instances are tagged appropriately. The third-party agent requires periodic updates as new versions are released. The Sys...
To meet the requirements with the least operational effort, the SysOps administrator needs a solution that ensures:
1. Automatic installation of the third-party agent on newly launched EC2 Windows instances.
2. Periodic updates of the third-party agent as new versions are released.
3. Minimal manual intervention to reduce operational overhead.
Let's analyze each option:
Option A: Create a Systems Manager Distributor package for the third-party agent.
- Analysis:
- Systems Manager Distributor is a service that helps you distribute software packages to EC2 instances. By creating a distributor package for the third-party agent, the SysOps administrator can easily deploy and update the agent on the EC2 instances.
- This is a valid option as it allows automatic deployment and updates of the third-party agent with minimal operational effort. This is one of the best ways to ensure that the agent is installed and updated on all Windows instances automatically.
Option B: Make sure that Systems Manager Inventory is configured. If Systems Manager Inventory is not configured, set up a new inventory for instances that is based on the appropriate tag value for Windows.
- Analysis:
- Systems Manager Inventory can track software configurations and installed applications, but it doesn't directly automate installation or updates.
- While useful for auditing and reporting, Inventory is not necessary for automatic installation or updates. This step would be more relevant for tracking the state of installed software, not automating deployment.
- This is not the best option for the stated requirements, as it's not focused on deployment or updates.
Option C: Create a Systems Manager State Manager association to run the AWS-RunRemoteScript document. Populate the details of the third-party agent package. Specify instance tags based on the appropriate tag value for Windows with a schedule of 1 day.
- Analysis:
- AWS-RunRemoteScript is used to run custom scripts on EC2 instances. While it can be used to install the third-party agent, this method requires cr...
Author: Stella · Last updated Jul 17, 2026
A company runs hundreds of Amazon EC2 instances in a single AWS Region. Each EC2 instance has two attached 1 GiB General Purpose SSD (gp2) Amazon Elastic Block Store (Amazon EBS) volumes. A critical workload is using all the available IOPS capacity on the EBS volumes.
According to company policy, the company cannot change instance types or EBS volume types without completing lengthy acceptance tests to validate that the company's applications will funct...
In this scenario, the SysOps administrator needs to increase the I/O performance of the Amazon Elastic Block Store (EBS) volumes, particularly for a critical workload that is using all the available IOPS capacity on the existing volumes. Let’s evaluate each of the proposed options to determine which one meets the requirements with minimal operational effort, without changing instance types or EBS volume types.
Option A: Increase the size of the 1 GiB EBS volumes.
- Analysis:
- EBS volume performance for gp2 volumes is determined by both the size of the volume and the baseline IOPS. For gp2 volumes, the IOPS scale with the volume size—specifically, 3 IOPS per GiB. Therefore, increasing the size of the 1 GiB EBS volume would increase the baseline IOPS of the volume.
- Increasing the volume size would be a straightforward way to get more IOPS, and this does not require any changes to instance types or EBS volume types, which aligns with the company’s policy of avoiding lengthy acceptance tests.
- This option is optimal for improving I/O performance without needing complex changes.
Option B: Add two additional elastic network interfaces on each EC2 instance.
- Analysis:
- Elastic network interfaces (ENIs) are used for network communication and do not directly affect the I/O performance of EBS volumes. While adding more ENIs can help with network traffic, it does not have any impact on the disk I/O or IOPS capabilities of EBS volumes.
- This option does not address the problem of increasing EBS volume performance and is unrelated to the need to improve disk I/O capacity.
- This option is n...
Author: Kai · Last updated Jul 17, 2026
A company needs to deploy a new workload on AWS. The company must encrypt all data at rest and must rotate the encryption keys once each year. The workload uses an Amazon RDS for MySQL Multi-AZ dat...
To meet the company's requirements of encrypting all data at rest and rotating encryption keys once per year, let's carefully analyze the available options.
Option A: Enable Transparent Data Encryption (TDE) in the MySQL configuration file. Manually rotate the key every 12 months.
- Analysis:
- Transparent Data Encryption (TDE) is not natively supported on Amazon RDS for MySQL. MySQL does support encryption, but it’s typically done at the storage layer via AWS services, not through MySQL's own TDE configuration.
- Manually rotating keys is also error-prone, and this approach would not meet the company’s requirement for automatic key rotation.
- This option does not meet the requirements because RDS for MySQL does not support TDE, and manual key rotation is less efficient and potentially risky.
Option B: Enable RDS encryption on the database at creation time by using the AWS managed key for Amazon RDS.
- Analysis:
- Using the AWS managed key for Amazon RDS simplifies encryption but does not fulfill the requirement to rotate keys annually. AWS-managed keys are rotated automatically by AWS, but they are rotated on a fixed schedule and not on a per-customer basis, and you do not have the option to configure the schedule (e.g., every 12 months).
- This option may be easier to set up but does not give the required control over key rotation.
- This option does not fully meet the company's needs since it doesn't provide control over the key rotation schedule.
Option C: Create a new AWS Key Management Service (AWS KMS) customer managed key. Enable automatic key rotation. Enable RDS enc...
Author: Madison · Last updated Jul 17, 2026
A company has an application that is deployed to two AWS Regions in an active-passive configuration. The application runs on Amazon EC2 instances behind an Application Load Balancer (ALB) in each Region. The instances are in an Amazon EC2 Auto Scaling group in each Region. The application uses an Amazon Route 53 hosted zone for DNS. A SysOps...
The company wants to set up automatic failover in an active-passive configuration between two AWS Regions, using Amazon Route 53 and ALBs for DNS routing. To achieve automatic failover, DNS routing needs to detect the health of the application in the primary Region and automatically switch to the secondary Region if the primary Region becomes unavailable.
Let's evaluate each option:
Option A: Configure Route 53 alias records that point to each ALB. Choose a failover routing policy. Set Evaluate Target Health to Yes.
- Analysis:
- Route 53 alias records can be used to point to the ALB in each region. Alias records are ideal in this case because they support automatic failover to a different AWS region without the need for a CNAME record, which is not allowed for the root domain.
- The failover routing policy is specifically designed for scenarios where you want to route traffic to a primary resource (ALB in the primary region) and automatically failover to a secondary resource (ALB in the secondary region) if the primary resource becomes unhealthy.
- Evaluate Target Health ensures that Route 53 checks the health of the ALB before routing traffic, allowing automatic failover if the primary region’s ALB is unhealthy.
- This option is ideal because it meets the requirement of automatic failover based on health status, and it uses Route 53’s built-in failover routing policy.
Option B: Configure CNAME records that point to each ALB. Choose a failover routing policy. Set Evaluate Target Health to Yes.
- Analysis:
- While CNAME records can be used to point to the ALB, CNAME records cannot be used at the root domain level in Route 53 (only for subdomains). This would prevent this solution from working for the root domain.
- The failover routing policy and Evaluate Target Health configuration are appropriate, but since CNAME records cannot be used at the root domain, thi...
Author: Deepak · Last updated Jul 17, 2026
A company is implementing a monitoring solution that is based on machine learning. The monitoring solution consumes Amazon EventBridge (Amazon CloudWatch Events) events that are generated by Amazon EC2 Auto Scaling. The monitoring solution provides detection of anomalous behavior such as unanticipated scaling events and is configured as an EventBridge (CloudWatch Events) API destination.
During initial testing, the company discovers that the monitoring solution is not receiving events. However, Amazon CloudWatch is showing that the EventBrid...
To determine the best solution for the given scenario, we need to focus on minimizing operational effort while achieving the goal of retrieving client error details to resolve the issue.
Let's evaluate each option:
Option A: Create an EventBridge (CloudWatch Events) archive for the event pattern to replay the events. Increase the logging on the monitoring solution. Use replay to invoke the monitoring solution. Examine the error details.
- Pros: This option allows replaying events to analyze the issue with the monitoring solution. The logs of the monitoring solution may give details about errors.
- Cons: Increasing the logging on the monitoring solution could introduce extra overhead in terms of both configuration and monitoring. Replay functionality requires managing event archives, which might add complexity. This option is not ideal if the goal is to quickly identify and resolve the error without additional configuration steps.
- Use case: Useful if you want to test with historical events and analyze them in the context of the application.
- Operational effort: Moderate. There is setup and management of EventBridge archives and replaying events.
Option B: Add an Amazon Simple Queue Service (Amazon SQS) standard queue as a dead-letter queue for the target. Process the messages in the dead-letter queue to retrieve error details.
- Pros: A dead-letter queue can help isolate messages that failed to be delivered, and you can process them later to investigate errors.
- Cons: This method is not immediate, as it relies on processing messages in the dead-letter queue. There's added complexity of managing the SQS queue, as well as the need for separate handling and processing of messages.
- Use case: Suitable when you need to capture undelivered events and investigate failures, especially for long-term troubleshooting.
- Operational effort: High, due to the overhead of managing SQS queues and message processing.
Option C: Create a second EventBridge (CloudWatch Events) rule for the same event pattern to target an AWS Lambda function. Configure the Lambda function to invoke t...
Author: Matthew · Last updated Jul 17, 2026
A company is storing backups in an Amazon S3 bucket. The backups must not be deleted for at least 3 months after the backups are created.
W...
To meet the requirement of preventing backups from being deleted for at least 3 months, we need to implement a solution that ensures objects in the S3 bucket are protected from deletion for the specified duration, without relying on manual actions. Let's analyze each option:
Option A: Configure an IAM policy that denies the s3:DeleteObject action for all users. Three months after an object is written, remove the policy.
- Pros: This option uses an IAM policy to prevent deletions, but it relies on manually removing the policy after 3 months.
- Cons: This approach is error-prone because it requires manual intervention (removal of the policy) after 3 months. If the policy is not removed, the objects will remain undeletable, which can be problematic for future deletions or management.
- Use case: This could be used in very specific scenarios where you have strict control over who can delete objects but doesn’t scale well for long-term retention policies.
- Operational effort: High, because it requires manual action to adjust the policy after 3 months.
Option B: Enable S3 Object Lock on a new S3 bucket in compliance mode. Place all backups in the new S3 bucket with a retention period of 3 months.
- Pros: Compliance mode ensures that objects cannot be deleted or overwritten for the retention period. This guarantees that the backups are protected for at least 3 months.
- Cons: S3 Object Lock in compliance mode is irreversible—once objects are locked, they cannot be deleted or modified until the retention period expires. This is highly secure but could be too restrictive for non-compliance scenarios.
- Use case: This option is ideal for scenarios where you need to ensure strict immutability of the backups for regulatory or compliance reasons, and no deletions are allowed for the specified retention period.
- Operational effort: Low. Once configured, it is fully automated and ensures protection without further intervention.
Option C: Enable S3 Versioning on the existing S3 bucket. Configure S3 Lifecycle rules to protect the backups.
- Pros: S3 Versioning allows you to keep multiple versions of an object. Using Lifecycle rules, you could configure objects to be protected o...
Author: Grace · Last updated Jul 17, 2026
A SysOps administrator needs to track the costs of data transfer between AWS Regions. The SysOps administrator must implement a solution to send alerts to an email distribution list when transfer costs reach 75% of...
To meet the requirements of tracking data transfer costs between AWS regions and sending alerts when those costs reach 75% of a specific threshold, we need a solution that allows monitoring of costs and provides easy alerting. Let’s evaluate each option:
Option A: Create an AWS Cost and Usage Report. Analyze the results in Amazon Athena. Configure an alarm to publish a message to an Amazon Simple Notification Service (Amazon SNS) topic when costs reach 75% of the threshold. Subscribe the email distribution list to the topic.
- Pros: The AWS Cost and Usage Report provides detailed data about costs, including regional data transfer. Using Athena for analysis allows for flexibility in querying cost data.
- Cons: This approach requires significant setup and customization, including configuring Athena queries and alarms. It's more complex and may involve unnecessary overhead if a simpler solution is available.
- Use case: This option is suitable for advanced analytics where you need detailed, customized reporting and querying of AWS cost data.
- Operational effort: High, due to manual setup and custom querying.
Option B: Create an Amazon CloudWatch billing alarm to detect when costs reach 75% of the threshold. Configure the alarm to publish a message to an Amazon Simple Notification Service (SNS) topic. Subscribe the email distribution list to the topic.
- Pros: CloudWatch billing alarms are easy to set up for tracking cost-related thresholds, including data transfer costs between regions. It provides a straightforward and automated way to monitor and alert on specific cost thresholds. The SNS topic integration allows for easy alerting to an email distribution list.
- Cons: CloudWatch billing alarms provide general cost tracking, but they may not offer the level of granularity needed for more detailed cost breakdowns (e.g., breaking out only data transfer costs).
- Use case: This option is ideal for simpler use cases where the primary need is to monitor and alert on overall costs.
- Operational effort: Low, as it’s a built-in feature that integrates easily with SNS and requires minimal setup.
Option C: Use AWS Budgets to create a cost budget for data transfer costs. Set an alert at 75% of the budgeted amount. Configure the budget to send a ...
Author: Charlotte · Last updated Jul 17, 2026
A company needs to archive all audit logs for 10 years. The company must protect the logs from any future edits....
To meet the company's requirement of archiving audit logs for 10 years while ensuring they cannot be edited, let's analyze the options based on the need for long-term storage and protection from edits:
Option A: Store the data in an Amazon Elastic Block Store (Amazon EBS) volume. Configure AWS Key Management Service (AWS KMS) encryption.
- Pros: EBS provides block-level storage that can be used for persistent data storage. AWS KMS encryption ensures data is encrypted at rest.
- Cons: EBS volumes are not ideal for long-term archival storage and do not offer built-in protections against edits. EBS is designed for persistent, block-level storage that is usually more suited to active workloads rather than long-term data retention. There's no mechanism to prevent accidental deletion or edits over the course of 10 years.
- Use case: EBS is ideal for storing data that's frequently accessed and updated, but it is not optimal for long-term archival storage with protections against changes.
- Operational effort: Moderate to high. Requires manual management of data and encryption, and it doesn’t meet the compliance need for WORM (Write Once Read Many).
Option B: Store the data in an Amazon S3 Glacier vault. Configure a vault lock policy for write-once, read-many (WORM) access.
- Pros: S3 Glacier is specifically designed for long-term archival storage. Vault Lock policies in S3 Glacier ensure WORM protection, which means the data can only be written once and cannot be modified or deleted during the retention period. This ensures compliance with regulatory requirements for immutable logs and long-term storage.
- Cons: The data retrieval process from Glacier is slower compared to other storage classes (like S3 Standard). However, Glacier is suitable for archival purposes where data retrieval frequency is low.
- Use case: This is the most appropriate option for long-term archival of audit logs where data integrity and immutability are crucial.
- Operational effort: Low. Once set up, the data is stored securely and cannot be modified or deleted, mee...
Author: Aarav · Last updated Jul 17, 2026
A company's AWS Lambda function is experiencing performance issues. The Lambda function performs many CPU-intensive operations. The Lambda function is not running fast enough and is creating bottl...
To resolve the performance issues of the AWS Lambda function, we need to focus on optimizing CPU performance. Let’s evaluate the options:
Option A: In the CPU launch options for the Lambda function, activate hyperthreading.
- Pros: Hyperthreading might improve CPU utilization and processing speed in some environments.
- Cons: AWS Lambda does not offer direct control over CPU features like hyperthreading. Lambda functions are abstracted from the underlying EC2 infrastructure, and you cannot configure hyperthreading or other hardware-specific features. Therefore, this option is not feasible.
- Use case: This option is not applicable because Lambda does not provide direct access to CPU configurations like hyperthreading.
- Operational effort: Not applicable, since this configuration is unavailable in AWS Lambda.
Option B: Turn off the AWS managed encryption.
- Pros: Disabling encryption could theoretically improve performance if encryption/decryption is a bottleneck.
- Cons: AWS Lambda typically uses encryption for environment variables and the function’s execution role, but turning off encryption would only impact a small part of the Lambda function's overhead. However, encryption is generally not the primary factor affecting CPU-intensive operations. This solution is unlikely to address the root cause of the performance issue.
- Use case: This option could be considered if the performance issue were specifically related to encryption overhead, but that is unlikely for CPU-intensive tasks.
- Operational effort: Low, but not directly relevant to solving the CPU performance issue.
Option C: Increase the amount of memory for the Lambda function.
- Pros: AWS Lambda allocates CPU resources based on the amount of memory you assign to a function. By increasing the...
Author: NebulaEagle11 · Last updated Jul 17, 2026
A company hosts a web application on an Amazon EC2 instance. The web server logs are published to Amazon CloudWatch Logs. The log events have the same structure and include the HTTP response codes that are associated with the user requests. The company needs to monitor the number of times that t...
Let's evaluate each option based on operational efficiency and ease of use:
A) Create a CloudWatch Logs metric filter that counts the number of times that the web server returns an HTTP 404 response.
- Why it's good: CloudWatch Logs metric filters allow you to define custom metrics based on patterns in log data. By creating a filter that detects HTTP 404 response codes, you can count the occurrences efficiently without needing to manually process logs. This option is operationally efficient because it allows continuous monitoring of HTTP 404 responses, and the count is updated automatically.
- Why other options are rejected: It provides automated monitoring, and no external systems are required, reducing complexity and manual work.
- Best use case: This is ideal for ongoing, real-time monitoring of log data to track specific events, like HTTP 404 errors, in a scalable and automated manner.
B) Create a CloudWatch Logs subscription filter that counts the number of times that the web server returns an HTTP 404 response.
- Why it’s not ideal: A subscription filter in CloudWatch Logs is used to stream log data to a destination like Amazon Lambda, Amazon Kinesis, or Amazon Elasticsearch. It is primarily used for real-time streaming and processing, but it requires an external service (such as Lambda) to aggregate the count. It’s more complex than using a metric filter, as you need additional setup for processing.
- Best use case: This could be used if you want to send logs for further processing or real-time alerting. But for just counting HTTP 404 responses, this approach is unnecessarily complex.
C) Create an AWS Lambda functi...
Author: Liam · Last updated Jul 17, 2026
A company is attempting to manage its costs in the AWS Cloud. A SysOps administrator needs specific company-defined tags that are assigned to resources to appear on the billing ...
Let's evaluate each option based on the need to include company-defined tags in the billing report:
A) Activate the tags as AWS generated cost allocation tags.
- Why it's not ideal: AWS-generated cost allocation tags are automatically created by AWS for certain AWS services (e.g., EC2 instance IDs, S3 bucket names). These are system-generated tags, not user-defined tags. Since the requirement is to include company-defined tags, this option doesn't meet the needs of the SysOps administrator.
- Best use case: This would be suitable if the requirement was to use AWS-generated tags, but since the administrator needs specific company-defined tags, this option doesn't solve the problem.
B) Activate the tags as user-defined cost allocation tags.
- Why it's the best option: User-defined cost allocation tags are custom tags created by the company and can be activated in AWS Cost Explorer or Cost and Usage Reports to include the company-defined tags on the billing report. By activating these tags, the SysOps administrator can ensure that the specific company tags (e.g., "Project," "Environment," or "Department") appear in the billing report, making it easier to track costs based on custom business criteria.
- Best use case: This is the most appropriate option for the requirement, as it allows the administrator to include their custom tags in the billing report for detailed cost management.
C) Create a new cost category...
Author: Manish · Last updated Jul 17, 2026
A company is expanding globally and needs to back up data on Amazon Elastic Block Store (Amazon EBS) volumes to a different AWS Region. Most of the EBS volumes that store the data are encrypted, but some of the EBS volumes are unencrypted. The company needs the backup data from...
Let’s break down each option in terms of meeting the requirements for backing up both encrypted and unencrypted EBS volumes while ensuring encryption in the destination Region, with a focus on minimizing management overhead:
A) Configure a lifecycle policy in Amazon Data Lifecycle Manager (Amazon DLM) to create the EBS volume snapshots with cross-Region backups enabled. Encrypt the snapshot copies by using AWS Key Management Service (AWS KMS).
- Why it's a good option: Amazon DLM is a fully managed service that allows you to automate the creation and retention of EBS snapshots. You can use it to back up both encrypted and unencrypted EBS volumes. By specifying AWS KMS encryption when copying the snapshots to another Region, the backup data will be encrypted. This solution is low overhead because DLM automates the process and doesn’t require you to manually manage snapshots or encryption.
- Why it’s the best option: It provides the least management overhead because it automates the process of creating snapshots, copying them to another Region, and ensuring that they are encrypted using KMS. This is the most efficient and scalable solution for managing EBS backups globally.
B) Create a point-in-time snapshot of the EBS volumes. When the snapshot status is COMPLETED, copy the snapshots to another Region and set the Encrypted parameter to False.
- Why it’s not ideal: This option requires manual intervention to create snapshots, wait for completion, and then manually copy the snapshots to another Region while adjusting the encryption settings. Additionally, copying the snapshot with the `Encrypted` parameter set to `False` would result in an unencrypted snapshot in the destination Region, which contradicts the requirement for encryption. This increases management overhead.
- Why rejected: The need for manual intervention and the risk of unencrypted backups make this approach unsuitable.
...
Author: RadiantPhoenixX · Last updated Jul 17, 2026
A SysOps administrator creates an Amazon Elastic Kubernetes Service (Amazon EKS) cluster that uses AWS Fargate. The cluster is deployed successfully. The SysOps administrator needs to manage the cluster by using the kubectl command line tool.
Which of the following m...
Let's evaluate the options based on the requirement to configure the SysOps administrator's machine to communicate with the Amazon EKS cluster API server using the `kubectl` command-line tool.
A) The kubeconfig file
- Why it's the best option: The `kubeconfig` file is the standard way to configure `kubectl` to communicate with a Kubernetes cluster. This file contains information about the cluster, such as the API server endpoint, the user credentials, and the namespace context. When you configure `kubectl` to interact with an EKS cluster, the `kubeconfig` file must be properly set up on the SysOps administrator's machine. This is the correct and required configuration for `kubectl` to authenticate and communicate with the EKS API server.
- Best use case: This is the most straightforward and essential setup to manage any Kubernetes cluster, including EKS, with `kubectl`.
B) The kube-proxy Amazon EKS add-on
- Why it’s not ideal: The `kube-proxy` is a network proxy that runs on each node in the Kubernetes cluster, responsible for maintaining network rules for pod communication. It manages traffic routing for services and is essential for networking inside the cluster. However, it does not have a role in configuring `kubectl` on the SysOps administrator's machine to interact with the cluster. It is more relevant to the cluster's internal networking and service communication rather than `kubectl` configuration.
- Best u...
Author: Kunal · Last updated Jul 17, 2026
A company wants to collect data from an application to use for analytics. For the first 90 days, the data will be infrequently accessed but must remain highly available. During this time, the company's analytics team requires access to the data in milliseconds. However, after 90 days, the company must retain the data for the long term a...
Let’s evaluate each option based on the requirements:
Requirements Recap:
1. First 90 days:
- Infrequently accessed data, but must remain highly available.
- The analytics team requires access in milliseconds.
2. After 90 days:
- Long-term retention at a lower cost.
- Retrieval time must be less than 5 hours.
A) Store the data in S3 Standard-Infrequent Access (S3 Standard-IA) for the first 90 days. Set up an S3 Lifecycle rule to move the data to S3 Glacier Flexible Retrieval after 90 days.
- Why it's a good option:
- S3 Standard-IA is designed for infrequent access but with low latency and high availability, making it suitable for the first 90 days, where the data is infrequently accessed but needs millisecond access. It also fits the use case of the analytics team requiring fast access.
- After 90 days, S3 Glacier Flexible Retrieval provides a low-cost long-term storage option with retrieval times typically ranging from minutes to hours (depending on the retrieval option). This solution satisfies the 5-hour retrieval time requirement for post-90 days.
- Why it's selected: This option provides a good balance of cost-effectiveness and performance for both the first 90 days (high availability and low latency) and after 90 days (lower cost with acceptable retrieval time).
B) Store the data in S3 One Zone-Infrequent Access (S3 One Zone-IA) for the first 90 days. Set up an S3 Lifecycle rule to move the data to S3 Glacier Deep Archive after 90 days.
- Why it's not ideal:
- S3 One Zone-IA is cheaper than S3 Standard-IA because it stores data in a single availability zone. However, it does not meet the requirement for "high availability" because it's more vulnerable to availability zone failures. Since the data must remain highly available, this option does not fully meet the requirement.
- S3 Glacier Deep Archive offers the lowest cost but has retrieval times that can take 12 hours or more. This would e...
Author: Ethan · Last updated Jul 17, 2026
A company's application currently uses an IAM role that allows all access to all AWS services. A SysOps administrator must ensure that the company's IAM policies allow only the permissions that the applicati...
To ensure that the IAM policies allow only the permissions required by the application, the SysOps administrator needs to assess the permissions that are currently being used by the application and then generate an IAM policy that only grants those specific permissions. Let's break down the options and evaluate them.
Option A: Turn on AWS CloudTrail. Generate a policy by using AWS Security Hub.
- CloudTrail records API calls, which can help identify which services and actions the application is using.
- AWS Security Hub provides insights into security best practices but isn't specifically designed to generate IAM policies based on access logs. It focuses more on security posture and compliance checks.
- This option doesn't directly offer a way to generate IAM policies tailored to application permissions, so it’s not the best choice.
Option B: Turn on Amazon EventBridge (Amazon CloudWatch Events). Generate a policy by using AWS Identity and Access Management Access Analyzer.
- EventBridge (CloudWatch Events) is a service for event-driven architectures and monitoring, which is useful for triggering actions based on events. While EventBridge is helpful for event management, it doesn’t focus on generating IAM policies based on actual usage patterns.
- IAM Access Analyzer can help analyze resource access from IAM roles, but EventBridge doesn't directly tie into generating a policy based on those actions, making this option less ideal.
Option C:...
Author: William · Last updated Jul 17, 2026
A company is deploying a third-party unit testing solution that is delivered as an Amazon EC2 Amazon Machine Image (AMI). All system configuration data is stored in Amazon DynamoDB. The testing results are stored in Amazon S3.
A minimum of three EC2 instances are required to operate the product. The company's testing team wants to use an additional three EC2 instances when the Spot Instance prices are at a certain threshold...
To meet the requirements of implementing a highly available solution with minimal operational overhead, let's evaluate the options based on the key criteria: scalability, operational simplicity, and integration with Spot Instances.
Key Requirements:
1. Three EC2 Instances are always required (i.e., baseline capacity).
2. Additional Three EC2 Instances should be used when Spot Instance prices are favorable.
3. The solution needs to be highly available with minimal operational overhead.
4. The solution should handle both On-Demand Instances and Spot Instances.
Option A: Define an Amazon EC2 Auto Scaling group by using a launch configuration. Use the provided AMI in the launch configuration. Configure three On-Demand Instances and three Spot Instances. Configure a maximum Spot Instance price in the launch configuration.
- Launch configurations are immutable; once they are created, they cannot be changed. This limits flexibility when adjusting instance types or configuration over time.
- Operational overhead increases as you must manage the configuration lifecycle manually.
- The combination of On-Demand and Spot Instances in the same Auto Scaling group is possible, but configuring Spot pricing is less flexible than in the other options.
- Rejected due to the lack of flexibility and more manual management.
Option B: Define an Amazon EC2 Auto Scaling group by using a launch template. Use the provided AMI in the launch template. Configure three On-Demand Instances and three Spot instances. Configure a maximum Spot Instance price in the launch template.
- Launch templates are more flexible than launch configurations and allow changes without needing to recreate the template.
- Spot Instance pricing can be configured more easily with launch templates, and the Auto Scaling group can scale based on these configurations.
- This approach would allow dynamic scaling, including the flexibility to handle On-Demand and Spot instances with different price thresholds.
- Recommended solution, as it meets all requirements with less operational overhead and more flexibility.
Option C: ...
Author: Ethan · Last updated Jul 17, 2026
A SysOps administrator creates an AWS CloudFormation template to define an application stack that can be deployed in multiple AWS Regions. The SysOps administrator also creates an Amazon CloudWatch dashboard by using the AWS Management Console. Each deployment of the application requires its own CloudWatch da...
To automate the creation of the CloudWatch dashboard every time the application stack is deployed, let's evaluate each option based on the criteria: automation, CloudFormation integration, and simplicity.
Option A: Create a script by using the AWS CLI to run the `aws cloudformation put-dashboard` command with the name of the dashboard. Run the command each time a new CloudFormation stack is created.
- CLI-based solution involves running a separate script after CloudFormation deployment.
- This requires manual intervention or scripting outside CloudFormation, leading to increased operational overhead and not fully automating the process within the CloudFormation stack lifecycle.
- Rejected because it introduces an extra manual or scripted step, increasing operational complexity.
Option B: Export the existing CloudWatch dashboard as JSON. Update the CloudFormation template to define an `AWS::CloudWatch::Dashboard` resource. Include the exported JSON in the resources `DashboardBody` property.
- This option allows the CloudWatch dashboard to be directly integrated into the CloudFormation stack.
- The exported JSON from an existing dashboard is used as the `DashboardBody` in the `AWS::CloudWatch::Dashboard` resource.
- This fully automates the creation of a new CloudWatch dashboard with each deployment, making it ideal for scenarios where the same dashboard needs to be deployed across multiple regions.
- Recommended solution because it integrates the dashboard creation directly into the CloudFormation template and ensures that a dashboard is created as part of the application stack deployment.
Option C: Update the CloudFormation template to defi...
Author: Henry · Last updated Jul 17, 2026
A company updates its security policy to clarify cloud hosting arrangements for regulated workloads. Workloads that are identified as sensitive must run on hardware that is not shared with other customers or with othe...
To ensure compliance with the updated security policy, the key requirement is that the workloads must run on hardware that is not shared with other customers or other AWS accounts within the company. Let's evaluate each option based on this requirement.
Option A: Deploy workloads only to Dedicated Hosts.
- Dedicated Hosts provide physical servers dedicated to a single customer and are not shared with other AWS accounts. This means the physical hardware on which the workloads are running is completely dedicated to the customer.
- This solution meets the security policy requirement because the hardware is not shared with other customers or accounts, ensuring compliance with the policy.
- Recommended solution because Dedicated Hosts ensure the highest level of isolation in terms of hardware.
Option B: Deploy workloads only to Dedicated Instances.
- Dedicated Instances run on hardware that is physically dedicated to a single customer, but they can still share the underlying host with instances from other AWS accounts.
- This option provides isolation at the level of physical hardware but does not guarantee complete isolation at the physical server level because other customers' instances may still run on the same hardware.
- Rejected because this option doesn't fully meet the security policy's requirement of not sha...
Author: Kunal · Last updated Jul 17, 2026
A company runs a website from Sydney, Australia. Users in the United States (US) and Europe are reporting that images and videos are taking a long time to load. However, local testing in Australia indicates no performance issues. The website has a large amount of static content in the form of images and videos tha...
The key problem here is that users in the US and Europe are experiencing slow load times for static content (images and videos) stored in Amazon S3, while local testing in Australia shows no performance issues. This suggests a latency issue when accessing the content from regions far from the Sydney-based S3 bucket.
Let’s evaluate each solution to find the one that will most improve user experience for users in the US and Europe.
Option A: Configure AWS PrivateLink for Amazon S3.
- AWS PrivateLink provides private connectivity between VPCs and services across AWS, allowing traffic to flow securely between services.
- However, PrivateLink is designed for securely connecting services over private IP addresses and doesn’t address content delivery performance or reduce latency for static assets like images and videos.
- Rejected because AWS PrivateLink is not designed to optimize content delivery performance across geographical regions.
Option B: Configure S3 Transfer Acceleration.
- S3 Transfer Acceleration speeds up uploads and downloads to and from S3 by routing traffic through Amazon CloudFront’s globally distributed edge locations. It improves the speed of file transfers for clients that are far from the S3 bucket.
- This can improve performance, particularly for uploads to S3, but doesn’t address static content delivery to end users. It focuses on speeding up the transfer of data to and from S3, not on caching and serving static content to users.
- Rejected because it doesn’t directly improve content delivery for users accessing static content from S3.
Option C: Create an Amazon CloudFront distribution. Distribute the static...
Author: Emma Brown · Last updated Jul 17, 2026
A SysOps administrator wants to monitor the free disk space that is available on a set of Amazon EC2 instances that have Amazon Elastic Block Store (Amazon EBS) volumes attached. The SysOps administrator wants to receive a notification when the used disk space of the EBS volumes exceeds a threshold value, but only when the DiskReadOps metric also exceeds a threshold value. The SysOps administrator has s...
To address the SysOps administrator's requirements, we need to focus on the conditions that ensure the notification is only sent when both the disk space metric and the DiskReadOps metric exceed their respective threshold values.
Key Factors to Consider:
1. Amazon CloudWatch Metrics: Disk space usage and DiskReadOps are metrics that should be monitored using CloudWatch. Amazon EBS volumes do not directly report disk space metrics. Therefore, the CloudWatch agent must be installed on the EC2 instances to gather the disk space data, which isn't automatically available by default.
2. Composite Alarms: A composite alarm in CloudWatch allows us to combine multiple conditions (e.g., disk space usage and DiskReadOps) and trigger an action (like sending a notification) only when both conditions are met. This allows for precise notification control.
3. SNS Notifications: The notification to the SNS topic should only be sent when both conditions are met, which suggests the use of composite alarms.
Option Analysis:
- Option A: Install the Amazon CloudWatch agent on the EC2 instances. Create a metric alarm for the disk space and a metric alarm for the DiskReadOps metric. Create a composite alarm that includes the two metric alarms to publish a notification to the SNS topic.
- Reasoning: This is a valid solution. By installing the CloudWatch agent, the SysOps administrator can collect disk space metrics. The composite alarm can then be used to ensure that the notification is only sent when both the disk space usage and DiskReadOps metrics exceed their respective thresholds. The composite alarm evaluates both conditions simultaneously, which is what is required here.
- Option B: Install the Amazon CloudWatch agent on the EC2 instances. Create a metric alarm for the disk space and a metric alarm for the DiskReadOps metric. Configure each alarm to publish a no...
