Amazon Practice Questions, Discussions & Exam Topics by our Authors
A SysOps administrator has been able to consolidate multiple, secure websites onto a single server, and each site is running on a different port. The administrator now wants to start a duplicate server in a second Availability Zone and put both behind a load balancer for high ...
In this scenario, the SysOps administrator wants to deploy a website's SSL certificate to an AWS Load Balancer in order to enable secure HTTPS traffic. The correct command should interact with the AWS Load Balancer service to configure SSL/TLS for a specific listener (likely port 443). Let’s analyze each option and explain the reasoning:
A) `aws kms modify-listener --load-balancer-name my-load-balancer --certificates CertificateArn=arn:aws:iam::123456789012:server-certificate/my-new-server-cert`
- Rejected: This option involves AWS KMS (Key Management Service) to modify a listener, which is not the correct service to configure SSL/TLS certificates for a Load Balancer. The correct service is Elastic Load Balancing (ELB), not KMS. Therefore, this option is incorrect.
B) `aws elb set-load-balancer-listener-ssl-certificate --load-balancer-name my-load-balancer --load-balancer-port 443 --ssl-certificate-id arn:aws:iam::123456789012:server-certificate/new-server-cert`
- Selected: This is the correct command to associate an SSL certificate with an Application Load Balancer (ALB) or Classic Load Balancer (CLB) listener on port 443. The command uses the correct service (`elb`), specifies the load balancer's port (443 for HTTPS), and references the SSL certificate ID....
Author: Rohan · Last updated Jul 17, 2026
A SysOps administrator is preparing to deploy an application to Amazon EC2 instances that are in an Auto Scaling group. The application requires dependencies to be installed. Application updates are issued weekly.
The SysOps administrator needs to implement a solution to incorporate the application updates on a regular basis. The solution also must con...
The key requirements for this solution are:
- Regularly incorporate application updates on EC2 instances.
- Install dependencies.
- Conduct vulnerability scans during AMI creation.
- Operational efficiency is a priority.
Let’s evaluate each option based on these criteria:
A) Create a script that uses Packer. Schedule a cron job to run the script.
- Rejected: Packer is a tool used for creating machine images in a repeatable and consistent manner. While Packer is good for building AMIs, creating a script and running it via cron for regular updates introduces complexity in managing updates, vulnerability scans, and AMI creation. This approach requires manual setup and ongoing maintenance to ensure that dependencies and vulnerabilities are managed properly. Moreover, this is not the most efficient or automated method for continuous application updates and vulnerability scanning.
B) Install the application and its dependencies on an EC2 instance. Create an AMI of the EC2 instance.
- Rejected: This is a manual approach and not operationally efficient. It would involve updating the EC2 instance, installing dependencies, creating an AMI manually, and repeating the process each time there is an update. This approach lacks automation, vulnerability scanning during image creation, and does not scale efficiently when updates are frequent (like weekly in this scenario). It's not the most automated solution, and manual intervention is required to create the AMI each time.
C) Use EC2 Image Builder with a custom recipe to install the application and its dependencies.
- ...
Author: MoonlitPantherX · Last updated Jul 17, 2026
An AWS CloudFormation template creates an Amazon RDS instance. This template is used to build up development environments as needed and then delete the stack when the environment is no longer required. The RDS-persisted data must be retained for further us...
The requirement is to retain RDS-persisted data even after the CloudFormation stack is deleted, which means ensuring that the data is preserved outside of CloudFormation’s lifecycle. Let’s evaluate each option based on this need:
A) Write a script to continue backing up the RDS instance every five minutes.
- Rejected: While backing up data every five minutes could work for data retention, this solution requires continuous manual intervention and custom script management. It’s not automated within the CloudFormation lifecycle, and would also require proper scheduling and management. Additionally, it doesn't address the deletion of the stack directly, as it focuses on manual backup strategies rather than creating a reliable way to retain data when the stack is deleted.
B) Create an AWS Lambda function to take a snapshot of the RDS instance, and manually invoke the function before deleting the stack.
- Rejected: While creating a Lambda function to take snapshots could work, this approach involves manual intervention. The Lambda function would need to be triggered manually before deleting the stack, which could be error-prone or missed in practice. It also doesn't provide an automated or efficient solution for the specific use case where the CloudFormation stack itself needs to ensure the RDS data persists even if the stack is deleted.
C) Use the Snapshot Deletion Policy in the CloudFormation template definition of the RDS instance.
- Sele...
Author: Arjun · Last updated Jul 17, 2026
AnyCompany has acquired Example Corp and is attempting to consolidate the business systems of both companies. AnyCompany's IT department needs to integrate with Example Corp's IT ticketing system.
A SysOps administrator must implement a solution that uses Amazon CloudWatch alarms for Amazon EC2 instances in AnyCompany's account to create new tickets in Example Corp's ticketing system. The ticketing system provides an HTTPS endpoint for the creation of new ticke...
The goal is to integrate Amazon CloudWatch alarms with Example Corp’s IT ticketing system, using least development time. The ticketing system provides an HTTPS endpoint and accepts messages in a specific JSON format.
Let's review each option based on this requirement:
A) Create an Amazon EventBridge rule that filters appropriate events and specifies EventBridge API destinations as a target. Configure EventBridge API destinations to send events to the HTTPS endpoint. In the EventBridge rule, create an input transformer to convert the source to a compatible output for the ticketing system.
- Selected: This option leverages Amazon EventBridge and its API destinations, which allows you to route events directly to an HTTPS endpoint with minimal effort. EventBridge API destinations can send events to external endpoints (like Example Corp's ticketing system), and using an input transformer allows for easy conversion of the CloudWatch alarm event into the required JSON format. This approach is highly efficient because EventBridge provides direct integration and transformation features, reducing the need for additional services like Lambda or SNS. It’s a clean, low-latency solution with minimal development time.
B) Create an Amazon EventBridge rule that filters appropriate events and specifies an Amazon Kinesis data stream as the target. Create an AWS Lambda function to receive events from the Kinesis data stream. Configure the Lambda function to start an AWS Glue job to transform the data and forward the output to the HTTPS endpoint.
- Rejected: This approach is more complex than necessary. It requires setting up an Amazon Kinesis data stream, AWS Lambda, and AWS Glue jobs for data transformation. While this could work, it adds significant complexity and overhead for a task that EventBridge can handle natively. The use of Kinesis and Glue is not needed here since ...
Author: Emma Brown · Last updated Jul 17, 2026
A SysOps administrator needs to provision a new fleet of Amazon EC2 Spot Instances in an Amazon EC2 Auto Scaling group. The Auto Scaling group will use a wide range of instance types. The configured fleet must come from pools that have the most a...
To provision a new fleet of Amazon EC2 Spot Instances in an Auto Scaling group with the objective of maximizing availability and ensuring the instances come from pools with the most availability, let’s analyze each option:
A) Launch the Spot Instances up to the maximum capacity of the Auto Scaling group
- This option involves configuring the Auto Scaling group to launch Spot Instances until it reaches the maximum desired capacity.
- Drawback: While this ensures that the group reaches the maximum size, it does not optimize for availability. Spot Instances are subject to interruption, and if the Spot pools experience low availability, instances could be terminated unexpectedly. Therefore, this method may not guarantee the desired level of availability.
- Use case: This can be useful in situations where cost minimization is the priority, but availability isn't as critical.
B) Launch the Spot Instances by using the diversified strategy
- The diversified strategy involves selecting multiple Spot instance pools across different instance types, availability zones, and regions to spread risk and increase the likelihood of successfully launching Spot Instances. This increases availability by using a wide variety of instance types and locations.
- Advantage: This strategy reduces the risk of your Spot Instances being interrupted, as it is less likely that all the pools you selected will be unavailable at the same time.
- Use case: This strategy is effective when you want to reduce the risk of interruptions and are flexible with the types of instances and availability zones.
C) Launch the Spot Instances by using the capacity optimized strategy
- The capacity optimized strategy selects Spot instance pools that have the most a...
Author: SilverBear · Last updated Jul 17, 2026
A SysOps administrator creates a custom Amazon Machine Image (AMI) in the eu-west-2 Region and uses the AMI to launch Amazon EC2 instances. The SysOps administrator needs to use the same AMI to launch EC2 instances in two other Regions: us-east-...
To use the custom Amazon Machine Image (AMI) created in the eu-west-2 Region to launch EC2 instances in the us-east-1 and us-east-2 Regions, the SysOps administrator must perform actions that enable the AMI to be accessible in those regions. Let’s evaluate each option:
A) Copy the AMI to the additional Regions
- Explanation: Amazon EC2 AMIs are region-specific. To use an AMI from one region in other regions, it must be copied to those regions. The "Copy AMI" functionality in the AWS Management Console or using AWS CLI can be used to copy the AMI to us-east-1 and us-east-2.
- Advantage: This is the most direct method. It copies the AMI to the other regions so that you can launch EC2 instances from the same image in those regions.
- Use case: This is the standard approach when you want to use a custom AMI across multiple regions.
B) Make the AMI public in the Community AMIs section of the AWS Management Console
- Explanation: Making an AMI public would make it available to any AWS account, not just specific regions or specific accounts. This would expose your custom AMI to everyone, which is usually not desired for private or sensitive images.
- Drawback: This is not a recommended approach when you want to maintain control over who can use your AMI. Additionally, it doesn't solve the issue of making the AMI available in different regions.
- Use case: This could be used if the goal is to make the AMI publicly available for anyone to use, but this is not suitable for the given scenario.
C) Share the AM...
Author: Krishna · Last updated Jul 17, 2026
A company has many accounts in an organization in AWS Organizations. The company must automate resource provisioning from the organization's management account ...
To automate resource provisioning from the organization's management account to the member accounts in AWS Organizations, let’s evaluate the available options:
A) Create an AWS CloudFormation change set. Deploy the change set to all member accounts.
- Explanation: AWS CloudFormation Change Sets allow you to preview changes to your resources before applying them. While change sets are useful for reviewing changes to stacks, they are not designed for bulk deployment across multiple accounts. Change sets are typically used in conjunction with CloudFormation stacks in a single account, not for deploying across multiple accounts.
- Drawback: Change sets cannot be directly deployed across all accounts in an organization. You would need to manually create and apply the change set to each account, which doesn't fully automate the process across multiple accounts.
- Use case: This option could be used if you want to preview changes before applying them in a single account, but it does not meet the requirement to automate resource provisioning across multiple accounts.
B) Create an AWS CloudFormation nested stack. Deploy the nested stack to all member accounts.
- Explanation: AWS CloudFormation nested stacks allow you to manage a set of resources as a unit, where one stack references other stacks. Nested stacks help organize large templates but are still limited to being deployed in a single account.
- Drawback: Similar to option A, nested stacks are typically deployed within a single account. While you could deploy a nested stack in each account, this is not an efficient way to automate resource provisioning across many accounts.
- Use case: Nested stacks are useful for organizing and managing complex resources within a single account but do not support deployment across multiple accounts automatically.
C) Create an AWS CloudFormation stack set. Deploy the stack set to all member accou...
Author: James · Last updated Jul 17, 2026
A company is building an interactive application for personal finance. The application stores financial data in Amazon S3, and the data must be encrypted. The company does not want to provide its own encryption keys. However, the company wants to maintain an audit tra...
To determine the best solution to meet the requirements of encrypting data in Amazon S3 and maintaining an audit trail for key usage, let's analyze each option:
A) Use client-side encryption with client-provided keys. Upload the encrypted user data to Amazon S3.
- Explanation: With client-side encryption, the data is encrypted on the client side before being uploaded to S3. The encryption keys are provided by the client and are not stored in AWS.
- Drawback: This option does not integrate with AWS services for auditing key usage. Since the company is providing its own encryption keys, it is responsible for managing and storing these keys, which could make auditing key usage more challenging.
- Use case: This could be used in scenarios where the customer wants full control over encryption keys but doesn't meet the requirement for audit trails of key usage from AWS services.
B) Use server-side encryption with S3 managed encryption keys (SSE-S3) to encrypt the user data on Amazon S3.
- Explanation: SSE-S3 uses Amazon S3-managed encryption keys to encrypt the data stored in S3. AWS handles the encryption and decryption of the data.
- Drawback: While SSE-S3 encrypts data automatically, it does not provide an audit trail for key usage. The company cannot track when the encryption key was used or who used it because AWS does not log key usage for SSE-S3.
- Use case: SSE-S3 is a good choice for customers who need simple encryption but don’t require detailed audit trails for key usage. However, it does not meet the auditing requirement in this scenario.
C) Use server-side encryption with customer-provided encryption keys (SSE-C) to encrypt the user data on Amazon S3....
Author: Stella · Last updated Jul 17, 2026
A company has an AWS CloudFormation template that creates an Amazon S3 bucket. A user authenticates to the corporate AWS account with their Active Directory credentials and attempts to deploy the CloudFormation templat...
To determine which factors could cause the CloudFormation stack creation to fail, let’s break down the potential causes one by one:
A) The user's IAM policy does not allow the `cloudformation:CreateStack` action.
- Explanation: To create a CloudFormation stack, the user must have permissions to perform the `cloudformation:CreateStack` action. If the user doesn't have this permission, the stack creation will fail.
- Advantage: This is a direct cause of failure if the user does not have permission to create CloudFormation stacks.
- Use case: This is a valid cause of failure when the user doesn't have the necessary IAM permissions to create stacks.
B) The user's IAM policy does not allow the `cloudformation:CreateStackSet` action.
- Explanation: `cloudformation:CreateStackSet` is used for creating stack sets, which are different from regular stacks. A typical CloudFormation stack creation does not require the `CreateStackSet` permission unless stack sets are being used specifically.
- Drawback: Since the question mentions deploying a simple CloudFormation template to create an S3 bucket, it doesn't seem to involve stack sets, so the `cloudformation:CreateStackSet` permission is not relevant here.
- Use case: This is not the likely cause of failure unless stack sets are involved, which is not mentioned in the problem.
C) The user's IAM policy does not allow the `s3:CreateBucket` action.
- Explanation: Since the CloudFormation template creates an S3 bucket, the user needs permission to create S3 buckets (`s3:CreateBucket`). If the user’s IAM policy doesn’t allow this action, the stack creation will fail because CloudFormation won't be able to create the S3 bucket.
- Advantage: This is a valid cause of failure. If the user doesn't have the required permissions for creating an S3 bucket, the CloudFormation sta...
Author: Liam · Last updated Jul 17, 2026
An Amazon RDS for PostgreSQL DB cluster has automated backups turned on with a 7-day retention period. A SysOps administrator needs to create a new RDS DB cluster by using data that is no more than 24 hours old from the original DB clust...
To meet the requirement of creating a new Amazon RDS for PostgreSQL DB cluster with data that is no more than 24 hours old from the original DB cluster, let's evaluate each option carefully:
A) Identify the most recent automated snapshot. Restore the snapshot to a new RDS DB cluster.
- Why it works: Automated snapshots are taken by RDS at regular intervals, and if the retention period is 7 days, the most recent snapshot should be no more than 24 hours old. Restoring this snapshot to a new DB cluster would meet the requirement with minimal operational overhead, as it’s a built-in RDS feature and requires no additional setup.
- Why other options are rejected: This solution is efficient, leveraging RDS’ built-in snapshot and restore functionality, which has lower overhead compared to other methods that require manual intervention, third-party tools, or additional infrastructure.
B) Back up the database to Amazon S3 by using native database backup tools. Create a new RDS DB cluster and restore the data to the new RDS DB cluster.
- Why it’s rejected: While this solution could work, it requires more manual intervention compared to option A. You would need to manage backups and restores manually, increasing operational overhead. It's not as streamlined as simply using the automated snapshots provided by RDS, and it doesn't offer any clear advantage in this case.
C) Create a read replica instance in the original RDS DB cluster. Promote the read replica to a standalone DB cluster.
- Why it works: Read replicas are typically up-to-date with the primary DB cluster, and creating a read replica within 24 hour...
Author: Liam · Last updated Jul 17, 2026
A company is managing a website with a global user base hosted on Amazon EC2 with an Application Load Balancer (ALB). To reduce the load on the web servers, a SysOps administrator configures an Amazon CloudFront distribution with the ALB as the origin. After a week of monitoring the solution, the administrator notices that reques...
Let's break down each option to identify the root causes of the issue and explain why some options may or may not apply:
A) CloudFront does not have the ALB configured as the origin access identity.
- Why it’s rejected: This option pertains to Amazon S3 origins and the need for configuring an "origin access identity" (OAI) when using CloudFront with an S3 bucket. However, for an ALB as the origin, this is not relevant because the concept of OAI doesn't apply to ALB. Therefore, this option does not directly contribute to the issue here.
B) The DNS is still pointing to the ALB instead of the CloudFront distribution.
- Why it works: This is a very plausible cause. If the DNS records are still pointed to the ALB instead of the CloudFront distribution, user requests would bypass CloudFront entirely, going directly to the ALB and thus not reducing the load on the ALB as expected. The DNS should be updated to point to the CloudFront distribution's domain name (e.g., `d1234567890xyz.cloudfront.net`) rather than the ALB. This would ensure that CloudFront serves the requests before they reach the ALB.
C) The ALB security group is not permitting inbound traffic from CloudFront.
- Why it works: If the security group attached to the ALB is not configured to allow inbound traffic from CloudFront, then CloudFront would not be able to forward requests to the ALB. As a result, CloudFront would not be able to serve content, and traffic would still be directed to the ALB without...
Author: Matthew · Last updated Jul 17, 2026
A SysOps administrator needs to configure the Amazon Route 53 hosted zone for example.com and www.example.com to point to an Application Load Balancer (ALB).
Which combination of actio...
Let's analyze each option in detail to identify the best actions to meet the requirement of configuring Route 53 for both example.com and www.example.com to point to an Application Load Balancer (ALB):
A) Configure an A record for example.com to point to the IP address of the ALB.
- Why it’s rejected: It is not recommended to point an A record directly to the IP address of an ALB. This is because an ALB uses dynamic IP addresses that can change over time, making it impractical and unreliable to use static IPs for routing. ALBs should be addressed using their DNS name, not their IP addresses.
B) Configure an A record for www.example.com to point to the IP address of the ALB.
- Why it’s rejected: Like option A, pointing to the IP address of the ALB is not a good approach for the same reasons. Dynamic IPs are used by ALBs, and using a static IP address in the A record can lead to issues if the IP changes.
C) Configure an alias record for example.com to point to the CNAME of the ALB.
- Why it’s rejected: Route 53 does not support CNAME records at the apex of a domain (i.e., for "example.com" without the "www"). This is a limitation of the DNS standard, which disallows CNAME records for the root domain. ...
Author: Deepak · Last updated Jul 17, 2026
A company has a hybrid environment. The company has set up an AWS Direct Connect connection between the company's on-premises data center and a workload that runs in a VPC. The company uses Amazon Route 53 for DNS on AWS. The company uses a private hosted zone to manage DNS names for a set of services that are hosted on AWS.
The com...
Let's analyze each of the given options to identify the most appropriate solution for enabling on-premises servers to use Route 53 for DNS resolution of the private hosted zone:
A) Create a Route 53 inbound endpoint. Ensure that security groups and routing allow the traffic from the on-premises data center. Configure the DNS server on the on-premises network to conditionally forward DNS queries for the private hosted zone's domain name to the IP addresses of the inbound endpoint.
- Why it works: This option is the correct solution. An inbound Route 53 endpoint is designed to allow DNS queries from external sources (such as on-premises servers) to be resolved by Route 53. By creating an inbound endpoint, the on-premises DNS servers can forward DNS queries to Route 53 for resolution of the private hosted zone. The security group configuration and routing need to allow the traffic from the on-premises data center to reach the endpoint.
- Why it’s the best solution: An inbound endpoint is specifically designed for this use case, where you want DNS queries from an on-premises network to be forwarded to Route 53 for resolution.
B) Create a Route 53 outbound endpoint. Ensure that security groups and routing allow the traffic from the VPC. Configure the DNS server on the on-premises network to conditionally forward DNS queries for the private hosted zone's domain name to the IP addresses of the outbound endpoint.
- Why it’s rejected: An outbound endpoint in Route 53 is used for forwarding DNS queries from Route 53 to external DNS resolvers. It is typically used when Route 53 needs to resolve DNS queries for domains that are not hosted on AWS and would require queries to external resolvers. Since the requirement here is to resolve ...
Author: Siddharth · Last updated Jul 17, 2026
A SysOps administrator is evaluating Amazon Route 53 DNS options to address concerns about high availability for an on-premises website. The website consists of two servers: a primary active server and a secondary passive server. Route 53 should route traffic to the primary server if the associated health check returns 2xx or 3xx HTTP codes. All other traffic should be directed to the secondary passive server. ...
To address the high availability requirements for the on-premises website using Amazon Route 53, we need to ensure that traffic is routed to the primary server based on the health of the server, while traffic is directed to the secondary server when the primary server is deemed unhealthy. Let's evaluate the options based on the scenario:
A) Create an A record for each server. Associate the records with the Route 53 HTTP health check.
- Why it works: This is a viable option. By creating an A record for each server and associating it with an HTTP health check, you can configure Route 53 to monitor the health of the servers. If the health check for the primary server returns 2xx or 3xx HTTP codes, it will be considered healthy, and Route 53 will route traffic to it. If the primary server fails the health check, traffic will be routed to the secondary passive server. This ensures the desired routing based on HTTP health checks.
- Why it’s a good choice: HTTP health checks are typically used for web servers since they check the availability of specific web services via HTTP. This is ideal for a website.
B) Create an A record for each server. Associate the records with the Route 53 TCP health check.
- Why it’s rejected: TCP health checks are typically used for checking the availability of a server at the transport layer (TCP), rather than the application layer (HTTP). For a web server, using an HTTP health check is more appropriate because it will verify that the actual web service (rather than just the network connectivity) is functioning. TCP health checks wouldn’t be able to ensure the proper functioning of the web server in terms of serving HTTP requests.
C) Create an alias record for each server with evaluate target health set to yes. Associate the records with the Route 53 HTTP health check.
- Why it works: This is also a va...
Author: Deepak · Last updated Jul 17, 2026
An Amazon EC2 instance is running an application that uses Amazon Simple Queue Service (Amazon SQS) queues. A SysOps administrator must ensure that the application can read, write, and delete messages from ...
To meet the requirements of allowing the application to securely read, write, and delete messages from the Amazon SQS queues, we need to analyze each solution in the context of security best practices and ease of management. The goal is to ensure that access is granted securely and that the solution can scale without manual intervention or credential exposure.
Option A: Create an IAM user with an IAM policy that allows the sqs:SendMessage, sqs:ReceiveMessage, and sqs:DeleteMessage permissions to the appropriate queues. Embed the IAM user's credentials in the application's configuration.
- Security Risk: Embedding IAM user credentials in the application's configuration is a significant security risk. If these credentials are exposed (for example, via a source code leak or misconfigured repository), it can lead to unauthorized access to the SQS queues.
- Management Overhead: Storing and rotating IAM user credentials manually introduces complexity. Every time a credential needs to be changed, the application configuration must be updated.
- Rejection Reason: This approach violates AWS security best practices, as IAM user credentials should not be embedded within application code.
Option B: Create an IAM user with an IAM policy that allows the sqs:SendMessage, sqs:ReceiveMessage, and sqs:DeleteMessage permissions to the appropriate queues. Export the IAM user's access key and secret access key as environment variables on the EC2 instance.
- Security Risk: While this is more secure than embedding the credentials directly in the application, exporting IAM user credentials as environment variables can still expose the credentials if the EC2 instance is compromised or the environment is misconfigured.
- Management Overhead: Like Option A, this approach requires manual management of IAM user credentials, such as rotation and secure storage. It’s still prone to human error.
- Rejection Reason: Though slightly more secure than Option A, this method still involves managing IAM user credentials, which is less ...
Author: NightmareDragon2025 · Last updated Jul 17, 2026
A SysOps administrator needs to configure an Amazon S3 bucket to host a web application. The SysOps administrator has created the S3 bucket and has copied the static files for the web application to the S3 bucket.
The company has a policy that...
To meet the requirements that the S3 bucket must not be public, and considering that the company policy forbids public access to S3 buckets, we need a solution that enables the hosting of the web application while keeping the S3 bucket secure. Let’s go through each option to see which one is the most suitable.
Option A: Create an Amazon CloudFront distribution. Configure the S3 bucket as an origin with an origin access identity (OAI). Give the OAI the s3:GetObject permission in the S3 bucket policy.
- Security Compliance: CloudFront allows you to configure secure access to your S3 bucket via an Origin Access Identity (OAI). The OAI ensures that the S3 bucket is not publicly accessible but can still be accessed through CloudFront. The bucket policy can be set to allow the OAI to read objects from the bucket, ensuring that only CloudFront (not the public) can access the files.
- Why Selected: This option aligns perfectly with the requirement that the S3 bucket not be public. CloudFront provides global distribution and performance optimization for your web application, ensuring that users can still access the content securely without exposing the S3 bucket to the internet directly.
- Management Overhead: The configuration is straightforward and allows for scaling without compromising security. CloudFront handles the delivery of content, and the S3 bucket can remain private.
Option B: Configure static website hosting in the S3 bucket. Use Amazon Route 53 to create a DNS CNAME to point to the S3 website endpoint.
- Security Risk: Enabling static website hosting on the S3 bucket makes the content publicly accessible via the S3 website endpoint, which violates the requirement that the bucket not be public. This option would directly e...
Author: Aarav2020 · Last updated Jul 17, 2026
A company is building a web application on AWS. The company is using Amazon CloudFront with a domain name of www.example.com. All traffic to CloudFront must be encrypted in transit. The company already has provisioned an SSL certificate for www.example.com in AWS Certificate Manage...
To ensure that all traffic to CloudFront is encrypted in transit, the SysOps administrator needs to configure both CloudFront settings and SSL certificate association correctly. Let's analyze each option:
Option A: For each cache behavior in the CloudFront distribution, modify the Viewer Protocol Policy setting to redirect HTTP to HTTPS.
- Reason for Selection: This setting forces users who try to access the site via HTTP to be redirected to HTTPS, ensuring that all traffic between the client and CloudFront is encrypted. This ensures compliance with the requirement that traffic must be encrypted in transit.
- Explanation: Redirecting HTTP to HTTPS ensures that CloudFront only serves content via HTTPS, which enforces encryption for all users regardless of how they initially access the site. It is a standard practice to ensure secure access.
Option B: For each cache behavior in the CloudFront distribution, modify the Viewer Protocol Policy setting to allow HTTP and HTTPS.
- Why Rejected: Allowing both HTTP and HTTPS means that users can access the content via both unencrypted (HTTP) and encrypted (HTTPS) channels. This does not enforce encryption in transit, which violates the requirement to only allow encrypted traffic.
- Explanation: This option would enable non-encrypted traffic to reach CloudFront, which is not aligned with the security requirements.
Option C: Enter the alternate domain name (CNAME) of www.example.com for the CloudFront distribution. Select the custom SSL certificate.
- Reason for Selection: This step is essential to properly associate the SSL certificate with the CloudFront distribution. Since the company has already pro...
Author: Nathan · Last updated Jul 17, 2026
A company runs an application on hundreds of Amazon EC2 instances in three Availability Zones. The application calls a third-party API over the public internet. A SysOps administrator must provide the third party with a list of static IP addresses so ...
The requirement is to provide the third-party API with a list of static IP addresses that the application can use to make outbound requests over the public internet. Let's evaluate each option to determine which one best meets these requirements.
Option A: Add a NAT gateway in the public subnet of each Availability Zone. Make the NAT gateway the default route of all private subnets in those Availability Zones.
- Reason for Rejection: This solution uses NAT gateways to provide outbound internet access for instances in private subnets. While the NAT gateway does provide a static IP (Elastic IP) for outbound traffic, you would have to manage multiple NAT gateways across Availability Zones. The third party would receive multiple static IP addresses, and these IPs may change over time if the NAT gateways are stopped or replaced.
- Why Rejected: Though this setup will give static IPs (Elastic IPs) for outbound traffic, it requires managing multiple Elastic IPs (one for each Availability Zone), which is less efficient than other options and may not align with the requirement of a simpler, centralized list of IPs.
Option B: Allocate one Elastic IP address in each Availability Zone. Associate the Elastic IP address with all the instances in the Availability Zone.
- Reason for Rejection: Each EC2 instance in an Availability Zone typically has its own private IP and might not share a public IP unless using a NAT Gateway, Load Balancer, or other methods. Associating a single Elastic IP with all the instances in an Availability Zone is not feasible. Elastic IPs are typically assigned to a specific EC2 instance or to a NAT Gateway, not directly to a group of EC2 instances.
- Why Rejected: This option is impractical because it does not work as expected with multiple EC2 instances. Elastic IPs can be associated with a single instance or a load balancer, but not with an e...
Author: Ella · Last updated Jul 17, 2026
A company manages its multi-account environment by using AWS Organizations. The company needs to automate the creation of daily incremental backups of any Amazon Elastic Block Store (Amazon EBS) volume that is marked with a Lifecycle: Production tag in one of its primary AWS accounts.
The company wants to prevent users from us...
To automate daily incremental backups of EBS volumes marked with the Lifecycle: Production tag and prevent users from deleting those snapshots, we need to focus on two main objectives: automating the snapshot process based on tags and restricting deletion permissions for those snapshots. Let's evaluate each option based on these requirements:
Option A: Create a daily snapshot of all EBS volumes by using Amazon Data Lifecycle Manager. Specify Lifecycle as the tag key. Specify Production as the tag value.
- Why Selected: Amazon Data Lifecycle Manager (DLM) allows for automated creation and management of EBS snapshots based on tags. By specifying the Lifecycle tag with a value of Production, this solution ensures that only EBS volumes with the appropriate tag will be included in the snapshot process. DLM also supports incremental backups, which only back up changes made to the EBS volumes, thus saving on storage costs.
- Why this works: DLM can be configured to automatically create snapshots on a daily basis, which aligns with the requirement for daily incremental backups. Additionally, snapshots created via DLM can be managed using specific IAM policies, which can later help in restricting the deletion of these snapshots.
- Why other options are rejected:
- Option B: While it uses EventBridge an...
Author: CrimsonViperX · Last updated Jul 17, 2026
A company hosts a Windows-based file server on a fleet of Amazon EC2 instances across multiple Availability Zones. The current setup does not allow application servers to access files simultaneously from the EC...
To determine the most operationally efficient solution for allowing application servers to access files simultaneously from an EC2 fleet, let's break down the options:
Option A: Create an Amazon Elastic File System (Amazon EFS) Multi-AZ file system
- Explanation: Amazon EFS is a fully managed, scalable, and elastic NFS-based file storage solution that can be mounted to multiple EC2 instances concurrently. It is designed to allow shared file access from multiple servers across different Availability Zones.
- Why it's selected: EFS is designed for multi-AZ access and can be easily integrated with multiple EC2 instances. It's highly scalable, fault-tolerant, and automatically handles the underlying infrastructure. This makes it the most efficient solution for file sharing between multiple EC2 instances without manual intervention or complex setup.
- When it works best: When you need shared file access across multiple EC2 instances, regardless of the operating system (Linux/Windows).
Option B: Create an Amazon FSx for Windows File Server Multi-AZ file system
- Explanation: Amazon FSx for Windows File Server is a fully managed file storage service that provides Windows file systems with the SMB protocol. It supports Multi-AZ deployments for high availability.
- Why it's a valid choice: If you're specifically working with Windows-based application servers and need SMB-based file sharing (like in this scenario), Amazon FSx for Windows File Server provides the most seamless solution.
- Why it’s not the best: Although this solution fits perfectly for Windows-based environments, it requires that the file shares be exposed via SMB, which can be less flexible than EFS for Linux/Windows mixed environments.
- When it works best: If the file access is specifically needed for Window...
Author: Matthew · Last updated Jul 17, 2026
A company has deployed an application on Amazon EC2 instances in a single VPC. The company has placed the EC2 instances in a private subnet in the VPC.
The EC2 instances need access to Amazon S3 buckets that are in the same AWS Region as the EC2 instances. A SysOps administrator must provide the EC2 instances with access to the S3 buckets without requiring ...
To meet the requirement of allowing EC2 instances in a private subnet to access Amazon S3 buckets without internet access or changes to the EC2 instances or application, let's evaluate the options:
Option A: Create an S3 Gateway Endpoint
- Explanation: A VPC Gateway Endpoint for Amazon S3 allows EC2 instances in a private subnet to access S3 without needing internet access. The gateway endpoint is a highly available, scalable VPC component that directly routes traffic from the VPC to S3 without going through the public internet.
- Why it's selected: This is the simplest and most efficient solution for this scenario. The EC2 instances will be able to access the S3 buckets through the endpoint without requiring any changes to the instances or application, and they won't have internet access. The default endpoint policy will allow access to all S3 buckets in the region.
- When it works best: When you need to allow VPC resources in a private subnet to securely access S3 without requiring an internet connection.
Option B: Create an S3 Interface Endpoint
- Explanation: An Interface Endpoint uses AWS PrivateLink to provide private connectivity to services such as Amazon S3. While interface endpoints allow access to services over private IP addresses, they are typically used for services that require a private IP connection (such as database or other AWS services) rather than S3.
- Why it's rejected: While it can work for S3, it is less commonly used for S3 access compared to a Gateway Endpoint, as it introduces additional complexity and cost. Interface endpoints are generally used for more specific services requiring private IP connectivit...
Author: Sara · Last updated Jul 17, 2026
A SysOps administrator manages the caching of an Amazon CloudFront distribution that serves pages of a website, The SysOps administrator needs to configure the distribution so that the TTL of individual pages can vary. The TTL of the individual pages must remain within t...
To meet the requirement of varying the TTL (Time-to-Live) of individual pages in a CloudFront distribution while still respecting the distribution's maximum and minimum TTL values, let's evaluate the options:
Option A: Create an AWS Lambda function that calls the CreateInvalidation API operation
- Explanation: The Lambda function would invalidate cached content in CloudFront when necessary, forcing CloudFront to fetch fresh content from the origin server. However, this method doesn't control TTL directly. Instead, it invalidates cache entries, which can affect performance, as it forces CloudFront to re-fetch content.
- Why it's rejected: This is not the most efficient solution for varying TTL. Invalidation is an expensive operation and can degrade performance since CloudFront must re-fetch content from the origin. The requirement is for varying TTLs, not cache invalidation.
- When it works best: Invalidation is useful when content needs to be completely refreshed in the cache, but it's not ideal for managing TTL variability.
Option B: Add a Cache-Control: max-age directive to the object at the origin when content is being returned to CloudFront
- Explanation: The Cache-Control: max-age directive is used to control how long content is cached in CloudFront before it expires. Setting this header allows you to specify a TTL for individual objects, and CloudFront will respect this TTL. It ensures that the TTL for each object can vary according to the max-age defined in the Cache-Control header.
- Why it's selected: This solution directly addresses the need for varying TTLs on individual pages. By setting the `Cache-Control: max-age` header at the origin, you can configure different TTLs for different objects while...
Author: Noah · Last updated Jul 17, 2026
A company has a public web application that experiences rapid traffic increases after advertisements appear on local television. The application runs on Amazon EC2 instances that are in an Auto Scaling group. The Auto Scaling group is not keeping up with the traffic surges after an advertisement runs. The company often needs to scale out to 100 EC2 instances during the traffic surges.
The instance startup times are lengthy because of a boot process that creates machine-specific data caches that are unique to each instance. The exact timing ...
To meet the requirement of quickly scaling the web application to handle traffic surges, let's evaluate each option and see which one is most suitable.
Option A: Create a warm pool. Keep enough instances in the Stopped state to meet the increased demand.
- Explanation: A warm pool in Auto Scaling allows you to keep instances in a Stopped state but ready to be started quickly. These instances are pre-initialized but not yet running, so they don't incur charges when stopped. When traffic surges, Auto Scaling can quickly start these instances and minimize the boot time.
- Why it's selected: This option directly addresses the problem of long boot times due to machine-specific data caches. By keeping instances in a stopped state but pre-warmed, you can scale out much faster when needed, without waiting for lengthy boot processes. The instances will already have the machine-specific data caches created, enabling faster scaling to handle traffic surges.
- When it works best: This is ideal for situations where scaling quickly is required, and instance startup times need to be minimized without disrupting the application.
Option B: Start 100 instances. Allow the boot process to finish running. Store this data on the instance store volume before stopping the instances.
- Explanation: This option suggests pre-starting 100 instances and allowing the boot process to finish, storing machine-specific data on the instance store volume. However, instance store data is ephemeral, meaning it is lost when the instance is stopped. This approach doesn't solve the problem of scaling on demand and would result in wasted resources since these instances would still be running when the traffic surge isn't happening.
- Why it's rejected: Starting 100 instances unnecessarily and keeping them running would be inefficient in terms of cost. Storing machine-specific data on the instance store volume wouldn't be effective becaus...
Author: Matthew · Last updated Jul 17, 2026
A company hosts an internal application on Amazon EC2 On-Demand Instances behind an Application Load Balancer (ALB). The instances are in an Amazon EC2 Auto Scaling group. Employees use the application to provide product prices to potential customers. The Auto Scaling group is configured with a dynamic scaling policy and tracks average CPU utilization of the instances.
Employees have noticed that sometimes the application becomes slow or unresponsive. A SysOps administrator finds that some instances are experiencing a high CPU load. The Auto Scaling group cannot scale out because the company is reaching the EC2 inst...
To meet the requirement of providing a notification when the company reaches 70% or more of the EC2 instance service quota, we need to evaluate the most operationally efficient solution. Here's a breakdown of the options:
Option A: Create an AWS Lambda function that lists the EC2 instances, counts the EC2 instances, and compares the total number against the applied quota value by using the Service Quotas API. Configure the Lambda function to publish an Amazon Simple Notification Service (Amazon SNS) notification if the quota utilization is equal to or greater than 70%. Create an Amazon EventBridge rule to invoke the Lambda function.
- Explanation: This option involves using AWS Lambda and the Service Quotas API to check the EC2 instance quota utilization. The Lambda function would compare the total number of EC2 instances against the quota, and if the quota utilization reaches or exceeds 70%, it sends an SNS notification.
- Why it's selected: This solution directly addresses the need to monitor EC2 instance quota utilization and provides a notification when the threshold is met. It uses the Service Quotas API, which is designed for tracking service limits like EC2 instance quotas, making it the most relevant and efficient approach. The use of EventBridge to trigger Lambda ensures automation and operational efficiency.
- When it works best: This is the most appropriate solution because it specifically addresses quota limits using the Service Quotas API, which is designed to track and manage service quotas. It's efficient and scalable.
Option B: Create an AWS Lambda function that lists the EC2 instances, counts the EC2 instances, and compares the total number against the applied quota value by using the Amazon CloudWatch Metrics API. Configure the Lambda function to publish an Amazon Simple Notification Service (Amazon SNS) notification if the quota utilization is equal to or greater than 70%. Create an Amazon EventBridge rule to invoke the Lambda function.
- Explanation: This option proposes using the CloudWatch Metrics API to track EC2 instances instead of the Service Quotas API. The Lambda function would compare the number of EC2 instances with the quota and send an SNS notification if the threshold is reached.
- Why it's rejected: The CloudWatch Metrics API is typically used for monitoring performance metrics (like CPU usage) rather th...
Author: Olivia · Last updated Jul 17, 2026
A SysOps administrator needs to update an AWS account name.
What should the SysOps administrator ...
To update an AWS account name, the SysOps administrator must have specific permissions, and there is a particular process for changing the account name. Let’s evaluate the options:
A) Add the AdministratorAccess policy to the SysOps administrator's IAM user
This option gives the SysOps administrator full administrative permissions within the account. However, IAM users cannot change the AWS account name, even if they have full administrator access. The ability to change the AWS account name requires root user permissions.
B) Add the AWS_ConfigureRole policy to the SysOps administrator's IAM user
This policy would grant permissions related to configuring roles in AWS, but it does not grant permission to change the AWS account name. This policy is irrelevant to the task of updating the account name, so it w...
Author: Leah · Last updated Jul 17, 2026
A team of developers is using several Amazon S3 buckets as centralized repositories. Users across the world upload large sets of files to these repositories. The development team's applications later process these files.
A SysOps administrator sets up a new S3 bucket, DOC-EXAMPLE-BUCKET, to support a new workload, The rew S3 bucket also receives regular uploads cf large sets of files from users worldwide. When the new S3 bucket is put into production...
To address the issue of slow upload performance from certain geographic areas to the new Amazon S3 bucket, we need to focus on improving the upload speed by leveraging AWS features designed for optimizing file uploads, particularly for large datasets. Let's break down the options:
A) Provision an Amazon ElastiCache for Redis cluster for the new S3 bucket. Provide the developers with the configuration endpoint of the cluster for use in their API calls.
Rejection Reason: ElastiCache is primarily used for caching data to improve application performance by reducing latency, and it works with applications that require fast data retrieval, such as database queries. However, it does not directly address upload speed to Amazon S3. Therefore, this option is not relevant to improving the S3 upload performance.
B) Add the new S3 bucket to a new Amazon CloudFront distribution. Provide the developers with the domain name of the new distribution for use in their API calls.
Rejection Reason: Amazon CloudFront is a content delivery network (CDN) designed to accelerate the delivery of content to users, but it is primarily used for read operations (content retrieval), not for write operations like uploading files to S3. While CloudFront helps with improving download performance, it does not enhance the performance of uploads to S3, so this option is not suitable for the problem described.
C) Enable S3 Transfer Acceleration for the new S3 bucket. Verify that the developers are using the DOC-EXAMPLE-BUCKET.s3-accelerat...
Author: Emma Brown · Last updated Jul 17, 2026
A SysOps administrator wants to use AWS Systems Manager Patch Manager to automate the process of patching Amazon EC2 Windows instances. The SysOps administrator wants to ensure that patches are auto-approved 2 days after the release date for development instances. Patches also must be auto-approved 5 days after the release date f...
To address the requirements of patching Amazon EC2 Windows instances using AWS Systems Manager Patch Manager, let's analyze each option based on the provided conditions:
Requirements:
- Auto-approval delay:
- 2 days for development instances.
- 5 days for production instances.
- Maintenance window: A 2-hour maintenance window for all instances.
A) Use tags to identify development instances and production instances. In Patch Manager, create two patch groups and one patch baseline. Add an auto-approval delay to each patch group. Create a single maintenance window.
Rejection Reason: While creating two patch groups for development and production instances is a good idea, using only one patch baseline for both groups would not allow specifying different auto-approval delays for each group (i.e., 2 days for development and 5 days for production). Patch baselines control auto-approval delays, and having only one patch baseline means both development and production instances would follow the same auto-approval delay. Therefore, this option cannot meet the distinct delay requirement for the two types of instances.
B) Use tags to identify development instances and production instances. In Patch Manager, create two patch groups and two patch baselines. Specify an auto-approval delay in each of the patch baselines. Create a single maintenance window.
Selected Option: This solution addresses the requirements effectively:
- Two patch baselines allow different auto-approval delays: one with a 2-day delay for development instances and another with a 5-day delay for production instances.
- A single maintenance window for both patch groups ensures that patches are applied within the specified 2-hour window for all instances.
This option satisfies b...
Author: Joseph · Last updated Jul 17, 2026
A SysOps administrator must analyze Amazon CloudWatch logs across 10 AWS Lambda functions for historical errors. The logs are in JSON format and are stored in Amazon S3. Errors sometimes do not appear in the same field, but all errors begin with the same strin...
Requirements:
- The SysOps administrator must analyze CloudWatch logs stored in S3 for historical errors.
- The logs are in JSON format, and errors sometimes appear in different fields but always start with the same string prefix.
- The administrator needs the most operationally efficient method for this analysis.
Let's break down the options:
A) Use S3 Select to write a query to search for errors. Run the query across all log groups of interest.
Rejection Reason:
- S3 Select allows you to query specific parts of an S3 object using SQL, which can be useful for smaller, simpler searches. However, S3 Select is not as efficient or robust for handling large-scale analysis across many files, especially when the data is distributed across multiple S3 objects (logs from 10 Lambda functions in this case).
- This option requires manually querying each file (or a limited set of files) and does not provide an efficient way to handle large-scale log analysis across multiple S3 objects or log groups.
- It is not as operationally efficient as other options for analyzing large datasets or doing complex searches across multiple log groups.
B) Create an AWS Glue processing job to index the logs of interest. Run a query in Amazon Athena to search for errors.
Rejection Reason:
- AWS Glue is designed for transforming and loading data into data lakes or warehouses and is more appropriate for ETL (Extract, Transform, Load) processes. It involves creating a processing job to index the logs, which may not be necessary for a simple error search task.
- This method would require additional setup, including creating and managing AWS Glue jobs and data cataloging, which may add unnecessary complexity for this relatively straightforward analysis.
- While this option could scale well, it is not the most operationally efficient compared to the other options for directly querying and analyzi...
Author: Isabella1 · Last updated Jul 17, 2026
A company has a policy that all Amazon EC2 instance logs must be published to Amazon CloudWatch Logs. A SysOps administrator is troubleshooting an EC2 instance that is running Amazon Linux 2. The EC2 instance is not publishing logs to CloudWatch Logs. The Amazon CloudWatch agent is running on ...
Scenario:
The company requires that all Amazon EC2 instance logs be published to Amazon CloudWatch Logs. The CloudWatch agent is already running on the EC2 instance, and the configuration file is correct. However, the logs are not being published to CloudWatch Logs. We need to determine the issue and find the best solution.
Let's break down the options:
A) Configure the AWS CLI on the EC2 instance. Create a cron job that calls the PutLogEvents API operation to push the log files to CloudWatch every 5 minutes.
Rejection Reason:
- The CloudWatch agent is already running, and its primary job is to push logs to CloudWatch Logs. Manually creating a cron job to invoke the `PutLogEvents` API would be redundant and inefficient. The CloudWatch agent should be handling the log publishing automatically, so manually calling the API every 5 minutes adds unnecessary complexity and could lead to errors or missed logs.
- This option is not necessary if the CloudWatch agent is functioning properly and configured correctly.
B) Inspect the retention period of the CloudWatch Logs log group. Ensure that the retention period is set to a value that is greater than 1 day.
Rejection Reason:
- The retention period in CloudWatch Logs controls how long logs are kept but does not affect the ability to publish logs to CloudWatch. Even if the retention period is set to 1 day or greater, logs would still not be published if the EC2 instance is not sending them. Therefore, adjusting the retention period will not resolve the issue of logs not being published.
- This option addresses an unrelated concern and does not solve the problem.
C) Set up an Amazon Kinesis data stream that is running in the same AWS Region as the EC2 instance. Configure the ...
Author: Max · Last updated Jul 17, 2026
A company runs a workload on an Amazon EC2 instance. The workload needs a temporary cache that contains data that changes frequently. The workload does not need to retain the cache across instance ...
When considering the best storage option for a temporary cache that changes frequently and doesn't need to persist across EC2 instance restarts, the key factors to consider are performance (speed), durability, and cost-effectiveness for temporary data.
Let's break down each option:
A) General Purpose SSD (gp3) Amazon Elastic Block Store (EBS) volume
- Performance: gp3 volumes provide a balance of price and performance. They offer up to 16,000 IOPS and 1,000 MB/s throughput, which is suitable for general-purpose workloads.
- Durability: EBS volumes are highly durable, but data persists even after an instance stops or is restarted. Since the cache data is temporary and does not need persistence, this durability is unnecessary.
- Cost: Generally cost-effective for moderate performance needs.
Reason for rejection: While gp3 is cost-effective and offers good performance for general workloads, it doesn't deliver the highest performance compared to other options, particularly for workloads requiring frequent and rapid data access like a cache.
B) Provisioned IOPS SSD (io2) Amazon Elastic Block Store (EBS) volume
- Performance: io2 volumes offer extremely high performance with up to 256,000 IOPS and 4,000 MB/s throughput, making them suitable for high-performance database workloads or I/O-intensive applications.
- Durability: Like other EBS volumes, io2 is highly durable, but it is not necessary for a temporary cache.
- Cost: io2 is the most expensive of the EBS options.
Reason for rejection: Although io2 offers the highest performance, it is an overkill for a temporary cache and can be unnecessarily expensive given the requirement that the data doesn't need to p...
Author: Nathan · Last updated Jul 17, 2026
A company runs multiple workloads across an organization in AWS Organizations. The company's finance team needs detailed dashboards to track cost changes and provide detailed cost metrics. The finance team needs to track trends as granular as every hour....
To meet the requirements of tracking detailed cost changes and providing granular cost metrics for workloads in AWS Organizations, especially with hourly trends, it's essential to consider a solution that is operationally efficient, automated, and offers real-time or near-real-time insights.
Let's analyze each option:
A) Generate Amazon CloudWatch dashboards by using CloudWatch insights and AWS Cost Explorer data.
- Performance: CloudWatch Dashboards can be used for visualizing data, but it doesn't natively support detailed cost breakdowns and doesn't integrate directly with AWS Cost Explorer data in a way that allows granular hourly analysis of cost trends.
- Granularity: While CloudWatch can display metrics, the integration with AWS Cost Explorer for detailed cost metrics, especially on an hourly basis, isn't ideal.
- Complexity: This approach would require significant custom integration between CloudWatch Insights and Cost Explorer data, making it less operationally efficient.
Reason for rejection: Although CloudWatch dashboards are useful for visualizations, this solution doesn't offer the level of granularity or operational efficiency needed for cost tracking and trends analysis at the hourly level.
B) Generate an AWS Cost and Usage Report. Store the report in Amazon S3. Use Amazon Athena to query the data. Use Amazon QuickSight to develop dashboards based on the data in the AWS Cost and Usage Report.
- Performance: The AWS Cost and Usage Report (CUR) provides highly detailed cost data, including hourly granularity. Storing the report in S3 and querying it with Athena is an effective and scalable solution.
- Granularity: Athena allows for granular querying, including hourly trends. QuickSight can be used to build detailed dashboards for cost metrics based on the CUR data.
- Operational efficiency: This solution is operationally efficient because it uses native AWS services to handle cost data efficiently and allows for automation with minimal manual intervention.
- Cost: The solution could incur additional costs for Athena queries, QuickSight usage, and S3 storage, but it’s still a very efficient and effective way to achieve the needed results.
Reason for selection: The AWS Cost and Usage Report offers the most detailed cost information, and using Athena for querying and QuickSight for visualization is an effective, scalable, and operationally efficient solution for tracking cost trends at an hourly level.
C) Create an AWS Lambda function that ...
Author: Sara · Last updated Jul 17, 2026
A company has a core application that must run 24 hours a day, 7 days a week. The application uses Amazon EC2. AWS Fargate, and AWS Lambda. The company uses a combination of operating systems across different AWS Regions.
The company needs to maximize cost savings while committ...
To meet the requirements of running a core application 24/7 across multiple AWS Regions with cost savings and flexibility, we need to consider factors such as flexibility (ability to adjust resources), cost savings, and operational continuity.
Let's analyze each option:
A) Purchase a Compute Savings Plan that is based on Savings Plans recommendations
- Flexibility: Compute Savings Plans provide significant cost savings (up to 66%) for EC2, AWS Fargate, and AWS Lambda usage in exchange for a commitment to a certain amount of usage over a one- or three-year term. This plan offers flexibility because it applies across different instance families, operating systems, and Regions.
- Cost Savings: Compute Savings Plans can provide great cost savings compared to on-demand pricing, and they support a variety of AWS compute services, including EC2, Fargate, and Lambda. The plan can be applied to any compute resources across regions and instance types.
- Reason for selection: This option aligns perfectly with the need for flexibility across different AWS services and operating systems while also maximizing cost savings.
B) Purchase an EC2 Instance Savings Plan that covers the EC2 instance types and the Fargate and Lambda vCPU equivalents
- Flexibility: The EC2 Instance Savings Plan only applies to EC2 instances, which may not fully cover all the services (e.g., AWS Lambda and Fargate) that the application uses.
- Cost Savings: EC2 Instance Savings Plans offer good cost savings for EC2 workloads, but the savings may not be as significant as Compute Savings Plans when it comes to a mix of EC2, Fargate, and Lambda.
- Reason for rejection: Although EC2 Instance Savings Plans provide cost savings, they are less flexible because they are limited to EC2 instances and do not apply to AWS Lambda or Fargate. The Compute Savings Plan is more suitable because it provides broader coverage.
C) Purchase a Reserved Instance for the instance types, operating systems, Region, and tech
- Flexibility: Reserved Instances offer a discount in exchange for a one- or three-year commitme...
Author: Abigail · Last updated Jul 17, 2026
A company's architecture team must receive immediate email notification whenever new Amazon EC2 instances are launched in the company's main AWS production accoun...
To meet the requirement of sending immediate email notifications when new Amazon EC2 instances are launched, let's evaluate each option based on ease of implementation, real-time notifications, scalability, and operational efficiency.
A) Create a user data script that sends an email message through a smart host connector. Include the architecture team's email address in the user data script as the recipient. Ensure that all new EC2 instances include the user data script as part of a standardized build process.
- Performance: The user data script is executed when an EC2 instance is launched. It could trigger an email, but this method depends on all EC2 instances being launched with the proper script included.
- Scalability: This solution is not scalable because it relies on ensuring that every new EC2 instance is launched with the correct user data script. This can lead to human error and difficult management, especially as the number of instances grows.
- Operational Efficiency: This approach is less efficient, as it requires manual inclusion of user data scripts in every instance launch. Additionally, if any EC2 instances are launched without the user data script, notifications will not be sent.
- Reason for rejection: It’s not ideal for automation or scalable management and does not provide an immediate notification for every EC2 instance launch.
B) Create an Amazon Simple Notification Service (Amazon SNS) topic and a subscription that uses the email protocol. Enter the architecture team's email address as the subscriber. Create an Amazon EventBridge rule that reacts when EC2 instances are launched. Specify the SNS topic as the rule's target.
- Performance: This option is highly efficient. EventBridge can be configured to capture EC2 instance launch events and immediately send notifications via SNS, which then sends an email to the architecture team. It provides near real-time notifications and is automated.
- Scalability: This is highly scalable. EventBridge rules are flexible, and SNS topics can handle high volumes of notifications. This solution will work as the infrastructure grows, with no additional effort required for each new instance.
- Operational Efficiency: This is the most efficient solution, as it involves minimal manual setup and offers a fully automated and scalable notification system. It also integrates seamlessly with other AWS services.
- Reason for selection: This option fully meets the requirement for real-time email notifications with minimal manual setup. EventBridge + SNS is a scalable, efficient, and automated solution for the task.
C) Create an Amazon Simple Queue Service (Amazon SQS) queue and a subscription that uses the email protocol. Enter the architecture t...
Author: FlamePhoenix2025 · Last updated Jul 17, 2026
A SysOps administrator manages an AWS account where developers run CPU-intensive tasks on Amazon EC2 instances. The tasks can take several days to finish running and sometimes need to be repeated several times. The developers often forget to terminate the instances when the tasks are complete.
The SysOps administrator needs to implem...
To meet the requirements of automatically terminating underutilized EC2 instances based on CPU utilization, let's analyze each option:
A) Configure an Amazon GuardDuty finding that is based on EC2 CPU utilization. Associate an AWS Lambda function with the GuardDuty finding to terminate any instances that are identified as idle.
- Performance: Amazon GuardDuty is a threat detection service that identifies malicious or unauthorized behavior within an AWS environment. It is not designed to monitor EC2 CPU utilization. GuardDuty focuses on security threats like unauthorized access or suspicious activity, not performance metrics like CPU utilization.
- Relevance: Since GuardDuty is not built for monitoring resource utilization, it would not be suitable for monitoring EC2 CPU usage or terminating underutilized instances based on CPU utilization.
- Reason for rejection: GuardDuty is not the right tool for this use case, as it doesn't focus on monitoring or managing EC2 resource utilization.
B) Configure an Amazon Simple Notification Service (Amazon SNS) topic to receive EC2 utilization messages from the AWS Health Dashboard. Create an AWS Lambda function. Subscribe the Lambda function to the SNS topic. Use the ec2.stop_instances operation to terminate idle instances.
- Performance: The AWS Health Dashboard provides operational status and alerts but does not provide real-time CPU utilization data for EC2 instances. Therefore, it would not be able to send messages related to CPU utilization for instances.
- Relevance: AWS Health Dashboard is more focused on AWS service health and events, not on the specific metrics of individual instances like CPU utilization.
- Reason for rejection: This solution is not suitable because the AWS Health Dashboard does not provide detailed EC2 utilization metrics (like CPU usage), which is necessary for this task.
C) Configure a Low Utilization Amazon EC2 Instances check in AWS Trusted Advisor to publish status changes to an Amazon Simple Notification Service (Amazon SNS) topic. Create an AWS Lambda function. Subscribe the Lambda function to the SNS topic. Use the ec2.stop_instances operation to terminate idle instances.
- Performance: AWS Trusted Advisor has a Low Utilization Amazon EC2 Instances check, which can identify underutilized instances (i.e., instances that are running with low CPU utilization). It can send notifications when this condition is met. By integrating this check with SNS and a...
Author: Madison · Last updated Jul 17, 2026
A company has several business units that want to use Amazon EC2. The company wants to require all business units to provision their EC2 instances by using only approved EC2 instance config...
To implement the requirement that business units can only provision EC2 instances using approved configurations, the SysOps administrator needs to enforce strict control over the instance launch process. Let’s analyze each option:
Option A: Create an EC2 instance launch configuration.
- Analysis: An EC2 launch configuration is primarily used with Auto Scaling groups. While it specifies the configuration for launching EC2 instances, it doesn't provide a centralized way to enforce the approved configurations for instances launched manually or outside of an Auto Scaling group.
- Rejection: This option is not suitable because it only applies to Auto Scaling groups, and doesn't cover manual instance provisioning by business units.
Option B: Develop an IAM policy that limits the business units to provision EC2 instances only. Instruct the business units to launch instances by using an AWS CloudFormation template.
- Analysis: While IAM policies can be used to restrict permissions, this option requires business units to manually adhere to a CloudFormation template. If they don't follow the template exactly, they could still launch instances outside the defined configuration.
- Rejection: This option relies on business units adhering to a CloudFormation template and doesn't fully enforce the use of only approved configurations. It doesn’t guarantee that all EC2 instances will follow the required configurations if users deviate from the template.
Option C: Publish a product and launch constraint role for EC2 instances by using AWS Service Catalog. Allow the business units to perform actions in AWS Service Catalog only.
- Analysis: AWS Service Catalog allows admini...
Author: Layla · Last updated Jul 17, 2026
A SysOps administrator needs to secure the credentials for an Amazon RDS database that is created by an AWS CloudFormation template. The solution must encrypt the credentials and mu...
To secure credentials for an Amazon RDS database, the solution needs to meet two primary requirements: encryption of credentials and support for automatic rotation. Let's analyze each option based on these requirements.
Option A: Create an AWS::SecretsManager::Secret resource in the CloudFormation template. Reference the credentials in the AWS::RDS::DBInstance resource by using the `resolve:secretsmanager` dynamic reference.
- Analysis: AWS Secrets Manager is designed to store sensitive information such as database credentials, and it supports both encryption and automatic credential rotation. By using the `resolve:secretsmanager` dynamic reference, CloudFormation can securely reference the credentials stored in Secrets Manager.
- Reasoning: This option satisfies both the encryption and automatic rotation requirements because Secrets Manager is specifically built for securely managing and rotating credentials. The `resolve:secretsmanager` dynamic reference securely references the secret in the CloudFormation template.
- Selected option: This is the ideal choice as it directly addresses both the encryption and rotation requirements.
Option B: Create an AWS::SecretsManager::Secret resource in the CloudFormation template. Reference the credentials in the AWS::RDS::DBInstance resource by using the `resolve:ssm-secure` dynamic reference.
- Analysis: This option uses AWS Secrets Manager for credential storage, but references the credentials with `resolve:ssm-secure`, which is used for SSM (AWS Systems Manager) parameter store. This is not compatible with Secrets Manager because Secrets Manager does not store parameters in the SSM format.
- Rejection: This option is incorrect because the `resolve:ssm-secure` dynamic reference is designed for SSM parameter store, not Secrets Manager. Secre...
Author: RadiantPhoenixX · Last updated Jul 17, 2026
A company wants to track its expenditures for Amazon EC2 and Amazon RDS within AWS. The company decides to implement more rigorous tagging requirements for resources in its AWS accounts. A SysOps administrator needs to identify all non...
To efficiently track and identify noncompliant resources based on specific tag requirements, the solution needs to automate the evaluation of tags on resources in AWS, without requiring custom development or manual checks. Let's analyze each option:
Option A: Create a rule in Amazon EventBridge that invokes a custom AWS Lambda function that will evaluate all created or updated resources for the specified tags.
- Analysis: While Amazon EventBridge is capable of detecting events related to resources being created or updated, using a custom Lambda function introduces complexity. You would need to write, manage, and maintain the custom Lambda code to evaluate resources for tags, which can become operationally cumbersome over time.
- Rejection: While this option works, it requires custom development and manual effort in coding and maintaining the Lambda function. It is not the most efficient or scalable solution compared to others.
Option B: Create a rule in AWS Config that invokes a custom AWS Lambda function that will evaluate all resources for the specified tags.
- Analysis: AWS Config provides a service that can continuously evaluate and track the configuration of AWS resources, including their tags. However, invoking a custom Lambda function to evaluate tags would still introduce custom code and maintenance overhead.
- Rejection: Although AWS Config is an excellent service for resource tracking, invoking a custom Lambda function adds unnecessary complexity and operational overhead. Using a managed rule would be more efficient.
Option C: Create a rule in AWS Config with the required-tags managed rule to evaluate all resources for the specified ta...
Author: Mia · Last updated Jul 17, 2026
A company creates a new Amazon FSx for Windows File Server file system. To help manage costs, the company configures the storage capacity for the file system with minimal room for growth.
The company creates an Amazon Simple Notification Service (Amazon SNS) topic in the same AWS account whore the file system resides. The company subscribes a SysOps administrator's email address to the SNS topic. The SysOps administrator needs to recei...
To meet the requirement of receiving an email notification when the Amazon FSx for Windows File Server has less than 100 GB of available storage, the solution needs to combine monitoring with notifications. Let's review each option in detail and select the most suitable ones.
Option A: Create an Amazon EventBridge rule for when the FreeStorageCapacity metric is less than or equal to 100,000,000,000 bytes (100 GB).
- Analysis: EventBridge can capture events and send notifications, but for this particular case, the solution would require monitoring Amazon FSx's storage capacity using metrics, which is typically done through Amazon CloudWatch, not EventBridge directly.
- Rejection: While EventBridge could be used to capture certain events, monitoring FreeStorageCapacity using CloudWatch is more straightforward and appropriate for this scenario. EventBridge would need additional configuration, and CloudWatch is a more natural choice for this type of monitoring.
Option B: Create an Amazon CloudWatch alarm for when the FreeStorageCapacity metric is less than or equal to 100,000,000,000 bytes (100 GB).
- Analysis: CloudWatch alarms are designed to monitor AWS resource metrics like FreeStorageCapacity for Amazon FSx. Setting a CloudWatch alarm to trigger when storage falls below 100 GB is the most direct way to monitor storage utilization.
- Reasoning: CloudWatch provides an efficient way to monitor storage and create alarms based on thresholds. This is the appropriate service for this use case, as it will directly track the FreeStorageCapacity metric and trigger an action when the condition is met.
Option C: Create an AWS Lambda function that will run when the Amazon CloudWatch alarm enters ALARM state. Configure the Lambda function to publish to the SNS topic.
- Analysis: Using ...
Author: Mia · Last updated Jul 17, 2026
A company decides to stop non-production Amazon EC2 instances during the EC2 instances. The company's IT manager must receive notification in near real time whenever an EC2 instance that has an environment type tag value of non-production is st...
Let's analyze each option based on operational efficiency and the specific requirements:
Option A: Configure an AWS Lambda function with an SMTP client library. Subscribe the Lambda function to the AWS Health Dashboard to receive notification whenever an EC2 instance is in the running state. Configure the Lambda function to use Amazon Pinpoint to send email notifications to the IT manager. Deploy a second Lambda function to throttle calls from the first Lambda function during the daytime.
- Analysis: This solution involves using Lambda to query the AWS Health Dashboard, which is not the most relevant service for EC2 state changes. Additionally, this solution requires using a custom Lambda function to send notifications via Amazon Pinpoint and another Lambda function to throttle calls. The complexity of using SMTP, Lambda, and multiple functions is excessive for this requirement.
- Rejection: This option is overly complex and doesn't efficiently leverage AWS services specifically designed for monitoring EC2 instance states.
Option B: Deploy an AWS Lambda function that queries the Amazon EC2 API to determine the state of each EC2 instance. Use the EC2 instance scheduler to configure the Lambda function to run every minute during the night and to send an email notification to the IT manager for each non-production EC2 instance that is in the running state.
- Analysis: This option suggests querying the EC2 API every minute, which can be resource-intensive and inefficient, especially if the company has a large number of EC2 instances. The solution also involves continuous Lambda execution, leading to increased operational costs and complexity.
- Rejection: This solution is inefficient as it involves querying EC2 instances frequently and constantly running Lambda functions, which could lead to unnecessary overhead.
Option C: Create an Amazon EventBridge rule that includes the EC2 Instance State-change Notification event type. Filter the event to capture only the running state. Create an AWS Lambda function as a target of the rule. Configure the Lambda function to check the current time and the EC2 instance's tags to determine the environment type. Create an Amazon Simple Notification Service (Amaz...
Author: Emily · Last updated Jul 17, 2026
A company's SysOps administrator manages a fleet of Windows Amazon EC2 instances that run in a single AWS account. The instances have a tag that includes a key of 'OS" and a value of "Windows." The company uses AWS Systems Manager to patch the instances.
The company has installed the Amazon CloudWatch agent on the instances, but the configuration is inconsistent. The SysOps administr...
To meet the requirement of reconfiguring every EC2 instance to use the same predefined CloudWatch configuration, let's break down the options.
A) Store the CloudWatch agent configuration file in an Amazon S3 bucket.
- Pros: This is a valid option because storing the configuration in an S3 bucket allows for easy access to the configuration file from multiple instances. The instances can retrieve the configuration from the bucket and apply it.
- Cons: While this option helps in storing the configuration, it does not automate the application of that configuration to the EC2 instances. You need a mechanism (like a Systems Manager State Manager association) to make the instances apply this configuration.
B) Store the contents of the CloudWatch agent configuration file in Systems Manager OpsCenter.
- Pros: OpsCenter is used to manage and document operational issues, typically associated with resolving issues. It is not designed for storing configuration files for wide use on EC2 instances.
- Cons: This is not the best option because OpsCenter is primarily for troubleshooting and incident management, not for configuration management, making it inappropriate for this scenario.
C) Store the contents of the CloudWatch agent configuration file in Systems Manager Parameter Store.
- Pros: Systems Manager Parameter Store is a secure, scalable storage solution for configuration values, and it integrates well with EC2 instances. Parameters can be retrieved securely and used to configure CloudWatch agents.
- Cons: While it works, it may require you to manage multiple versions or settings if your configuration is complex or changes frequently. It's not as flexible as using an S3 bucket for larger or more complex configurations.
D) Create a Systems Manager State Manager association to run the AmazonCloudWatch-ManageAgent Systems Manager Run Command document. Select Systems Manager as an optional configuration source. Target the instances based on tag values.
- Pros: Syst...
Author: Rahul · Last updated Jul 17, 2026
A company is experiencing issues with legacy software running on Amazon EC2 instances. Errors occur when the total CPU utilization on the EC2 instances exceeds 80%. A short-term solution is required while the software is being rewritten. A SysOps administrator is tasked with creating a solution to restart th...
To determine the best solution for restarting EC2 instances when CPU utilization exceeds 80%, we need to evaluate the operational overhead and ease of implementation for each option.
A) Write a script that monitors the CPU utilization of the EC2 instances and reboots the instances when utilization exceeds 80%. Run the script as a cron job.
- Pros: This approach directly addresses the problem and offers flexibility in how it's implemented.
- Cons: Writing and maintaining a custom script introduces operational overhead. The cron job would need to run continuously, and it could be prone to errors or failures, leading to unreliable execution. Additionally, monitoring each instance individually can become cumbersome as the fleet grows.
B) Add an Amazon CloudWatch alarm for CPU utilization and configure the alarm action to reboot the EC2 instances.
- Pros: This option leverages CloudWatch's native alarm functionality, which is simple to configure and requires minimal operational overhead. CloudWatch alarms can trigger an action (such as restarting the EC2 instance) when CPU utilization exceeds a threshold. It is easy to set up and monitor.
- Cons: It works only for basic actions like rebooting, and it’s more limited in the level of customization or automation you can have beyond this specific task. However, for this specific requirement, this solution is highly efficient.
C) Create an Amazon EventBridge rule using the predefined patterns for CPU utilization of the EC2 instances. When utilization exceeds 80%, invoke an AWS Lambda function to restart the instances.
- Pros: EventBridge provides a more flexible and robust event-driven architecture. You can execute a Lambda function to...
Author: Leo · Last updated Jul 17, 2026
A SysOps administrator launches an Amazon EC2 instance in a private subnet of a VPC. When the SysOps administrator attempts a curl command from the command line of the EC2 instance, the SysOps administrator cannot conne...
To resolve the issue of the EC2 instance in a private subnet not being able to connect to an external website (https://www.example.com), the SysOps administrator needs to ensure proper outbound connectivity for HTTPS traffic. Let’s review the options:
A) Ensure that there is an outbound security group for port 443 to 0.0.0.0/0.
- Pros: Security groups control inbound and outbound traffic at the instance level. Ensuring an outbound rule for port 443 (HTTPS) to 0.0.0.0/0 allows the EC2 instance to initiate outgoing HTTPS connections to external websites.
- Cons: There’s no direct issue with this option. It is valid, as it enables outgoing HTTPS traffic from the EC2 instance.
B) Ensure that there is an inbound security group for port 443 from 0.0.0.0/0.
- Pros: Inbound rules in a security group control traffic entering the EC2 instance.
- Cons: This option is incorrect because the issue is with outbound connectivity, not inbound. The EC2 instance is trying to connect to an external site, so it needs outbound rules, not inbound.
C) Ensure that there is an outbound network ACL for ephemeral ports 1024-65535 to 0.0.0.0/0.
- Pros: Network ACLs control traffic at the subnet level. Ephemeral ports are ...
Author: Liam · Last updated Jul 17, 2026
A SysOps administrator needs to implement a backup strategy for Amazon EC2 resources and Amazon RDS resources. The backup strategy must meet the following retention requirements:
* Daily backups: must be kept for 6 days
* Weekly backups: must be kept for 4 weeks:
* Monthly backups: must be kept for 11 months
...
To implement a backup strategy for Amazon EC2 and RDS resources with the least administrative effort, we need to consider the most efficient, automated, and manageable approach. Let’s evaluate the options:
A) Use Amazon Data Lifecycle Manager to create an Amazon Elastic Block Store (Amazon EBS) snapshot policy. Create tags on each resource that needs to be backed up. Create multiple schedules according to the requirements within the policy. Set the appropriate frequency and retention period.
- Pros: Amazon Data Lifecycle Manager (DLM) allows you to automate the management of EBS snapshots, including scheduling and retention. It’s highly effective for EC2 instances that use EBS volumes and can help automate snapshot creation and retention. Tags help to easily target resources.
- Cons: This strategy is tailored specifically for EBS volumes, not RDS resources. RDS backup strategies would need to be handled separately, which adds some complexity.
- Conclusion: This option can work well for EC2 EBS snapshots, but it doesn’t fully address the backup strategy for RDS, which requires its own management.
B) Use AWS Backup to create a new backup plan for each retention requirement with a backup frequency of daily, weekly, monthly, or yearly. Set the retention period to match the requirement. Create tags on each resource that needs to be backed up. Set up resource assignment by using the tags.
- Pros: AWS Backup is a fully managed service designed to handle backups for both Amazon EC2 and Amazon RDS. It supports various backup frequencies (daily, weekly, monthly, yearly) and retention policies, which perfectly align with the requirements. By using tags, you can easily assign backup plans to specific resources, making it simple to manage EC2 and RDS backups in one place.
- Cons: The administrative overhead in setting up the backup plans initially might be higher, but once configured, the process is automated and low-maintenance.
- Conclusion: AWS Backup is the most suitable option here because it handles both EC2 and RDS backups efficiently, meeting all the retention requirements with minimal ongoing management.
C) Create an AWS Lambda function. Program the Lambda function to use native tooling to take backups of file systems in Amazon EC2 and to ...
Author: Aarav · Last updated Jul 17, 2026
An application team uses an Amazon Aurora MySQL DB cluster with one Aurora Replica. The application team notices that the application read performance degrades when user connections exceed 200. The number of user connections is typically consistent around 180, with occasional sudden increases above 200 connections. The applica...
To address the issue of performance degradation when user connections exceed 200, the solution must handle the scaling of the database in response to dynamic workloads. Let’s evaluate each option based on the requirements.
A) Migrate to a new Aurora multi-master DB cluster. Modify the application database connection string.
- Pros: Aurora multi-master allows for write scaling across multiple instances, which can improve performance for write-heavy applications.
- Cons: This option would not address the issue of scaling read performance under increased connections. The problem described is related to read scaling, and multi-master Aurora is more suited for write scaling. Additionally, setting up a multi-master DB cluster could involve significant complexity and operational overhead without directly solving the read performance issue.
B) Modify the DB cluster by changing to serverless mode whenever user connections exceed 200.
- Pros: Aurora Serverless automatically adjusts the capacity up or down based on usage, providing a cost-effective and flexible solution to handle varying workloads.
- Cons: Aurora Serverless is generally designed for infrequent or variable workloads, not for high-performance or constantly active applications. Aurora Serverless may not provide the low-latency, consistent performance required for high-traffic applications with sudden spikes, like this one. It also does not support replication, which could further impact performance when using replicas for read scalability.
C) Create an auto scaling policy with a target metric of 195 DatabaseConnections.
- Pros: Aurora supports read scaling using Aurora Replicas, which can automatically scale read capacity based on the number of connections. This solution would allow the application to scale automatically as user demand increases, improvi...
Author: Liam · Last updated Jul 17, 2026
A company hosts a production database on an Amazon Elastic Block Store (Amazon EBS) backed Amazon EC2 instance. As part of an annual disaster recovery exercise, the company needs to restore recent EBS snapshots to a new EC2 instance in a second Availability Zone.
After the snapshots are restored to EBS volumes, the resulting volumes must deliver all of their provi...
Let's break down the requirements and evaluate each option:
Key Requirements:
1. Restore recent EBS snapshots to a new EC2 instance in a different Availability Zone.
2. The resulting volumes must deliver all of their provisioned performance (fast performance).
3. Validation tests on the restored data should be completed quickly.
Option A: Enable EBS fast snapshot restore (FSR) on the snapshots for the second Availability Zone. Create new EBS volumes in the second Availability Zone from the snapshots. Attach the new EBS volumes to a new EC2 instance.
- Why this might work:
- Fast Snapshot Restore (FSR) can be enabled in the second Availability Zone (AZ), which will speed up the time it takes to restore the snapshot to the new EBS volume. This ensures that the volumes are restored with their full provisioned performance immediately upon creation.
- EBS FSR reduces the time taken to restore snapshots by making the snapshot instantly usable once it is created, reducing wait time for validation tests.
- Why this option is selected:
- It meets the requirements for quick restoration and ensuring that the volumes deliver their full provisioned performance. The key is enabling FSR in the destination AZ, which is crucial for rapid data restoration and validation.
Option B: Enable EBS fast snapshot restore (FSR) on the snapshots for the current Availability Zone. Create new EBS volumes in the second Availability Zone from the snapshots. Attach the new EBS volumes to a new EC2 instance.
- Why this doesn’t work as well:
- Enabling FSR in the current Availability Zone does not provide the desired performance in the se...
Author: Liam · Last updated Jul 17, 2026
A SysOps administrator is responsible for a legacy, CPU-heavy application. The application can only be scaled vertically. Currently, the application is deployed on a single t3.large Amazon EC2 instance. The system is showing 90% CPU usage and significant...
Let's break down the situation and evaluate each option based on the key requirements and the given information.
Scenario:
- The application is CPU-heavy and currently running on a t3.large EC2 instance.
- 90% CPU usage and significant performance latency indicate that the instance is underprovisioned for the CPU resources required.
- The application can only be scaled vertically (which means we cannot horizontally scale by adding more instances).
- We need to address CPU bottleneck and performance latency.
Option A: Change the Amazon EBS volume to Provisioned IOPS.
- Why this is not the best option:
- The problem is CPU bottleneck, not disk I/O performance. Provisioned IOPS (PIOPS) would improve disk performance, but it will not address the CPU-related issue.
- EBS volume performance is relevant if the application is disk-bound, which is not the case here. We need to address CPU bottlenecks.
Option B: Upgrade to a compute-optimized instance.
- Why this is the best option:
- The application is CPU-heavy, and upgrading to a compute-optimized instance (e.g., C5, C6i) would provide higher CPU performance. These instances are specifically designed for workloads that require significant processing power, and they would alleviate the CPU bottleneck.
- Vertical scaling, which the application requires, can be achieved by moving to a larger instance type that of...
Author: MysticJaguar44 · Last updated Jul 17, 2026
A user is connected to an Amazon EC2 instance in a private subnet. The user is unable to access the internet from the instance by using the following curl command: curl http:/www.example.com.
A SysOps administrator reviews the VPC configuration and learns the following information:
* The private subnet has a route to a NAT gateway for CIDR 0.0.0.0/0
* The outbound security group for the EC2 instance contains one rule: outbound for port 443 to CIDR 0.0.0.0/0
* The inbound security group for the EC2 instance allows ...
Let's break down the situation and evaluate the options:
Scenario Overview:
- Private Subnet with NAT Gateway: The EC2 instance is in a private subnet and has a route to a NAT gateway for internet access.
- Security Groups:
- Outbound security group allows port 443 (HTTPS) to all destinations (CIDR 0.0.0.0/0).
- Inbound security group allows ports 22 and 443 from the user's IP address (which is fine for SSH and HTTPS connections).
- Network ACLs:
- Inbound network ACL allows port 22 and port range 1024-65535 from CIDR 0.0.0.0/0, which allows general inbound traffic, including responses on ephemeral ports for established connections.
Problem:
The user is trying to access the internet using HTTP (port 80) via the curl command (`curl http://www.example.com`).
Key Factors:
1. Outbound Traffic: The EC2 instance has an outbound security group rule allowing port 443 (HTTPS) but no explicit rule for HTTP (port 80).
2. NAT Gateway: The EC2 instance can route traffic through a NAT gateway to reach the internet, but it needs to use the appropriate outbound port for HTTP (port 80).
Analyzing the Options:
Option A: Add an additional inbound network ACL rule for port 80 to CIDR 0.0.0.0/0.
- Why this is not needed:
- The EC2 instance is trying to initiate outbound traffic (HTTP request) to the internet, so the inbound network ACL is not relevant here.
- The issue is with outbound traffic, not inbound traffic.
Option B: Add ...
Author: Amira99 · Last updated Jul 17, 2026
A company's financial department needs to view the cost details of each project in an AWS account. A SysOps administrator must perform the initial configuration that is required to view cos...
Scenario Overview:
- The finance department needs to view cost details for each project in an AWS account.
- A SysOps administrator is tasked with performing the initial configuration for Cost Explorer to show costs by project.
Analyzing the Options:
Option A: Activate cost allocation tags. Add a project tag to the appropriate resources.
- Why this is the correct option:
- Cost allocation tags allow you to label AWS resources with key-value pairs. This enables cost tracking and segmentation by project (or any other dimension you choose).
- Once the tags are activated, you can then apply them to the AWS resources in question. In Cost Explorer, you can filter or group costs based on these tags to view cost details for each project.
- Cost allocation tags are the most direct way to categorize AWS costs by project, and they integrate seamlessly with Cost Explorer to track and allocate costs by the specific tags associated with each project.
- Why this is selected: This is the most efficient way to meet the requirement of viewing costs by project, as it allows for clear, customizable tracking based on project-specific tags.
Option B: Configure consolidated billing. Create AWS Cost and Usage Reports.
- Why this is not the best option:
- Consolidated billing is useful for managing multiple accounts under one billing entity, but it doesn't specifically address the project-level cost breakdown required by the finance department.
- Cost and Usage Reports are useful for detailed cost analysis and data export, but this option requires additional steps (report generation and analysis), and it does not provide the easy, quick view of costs by project directly in Cost Explorer.
- Why rejected: This solution is more complex and doesn't directly provide the ability to view costs per project using Cost Explorer in ...
Author: Grace · Last updated Jul 17, 2026
A SysOps administrator is managing a web application that runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The instances run in an EC2 Auto Scaling group. The administrator wants to set an alarm for when all targ...
Let's analyze the situation and evaluate each option based on the need to set an alarm when all target instances behind the ALB are unhealthy.
Scenario Overview:
- The web application is running on EC2 instances behind an Application Load Balancer (ALB).
- The instances are in an EC2 Auto Scaling group.
- The SysOps administrator wants to set an alarm for when all target instances associated with the ALB are unhealthy.
Key Concepts:
- Target Health: ALB performs health checks on its target instances. If all target instances are unhealthy, the ALB cannot route traffic to those instances.
- CloudWatch Metrics: The administrator wants to use CloudWatch metrics to track the health of EC2 instances and set an alarm based on that health.
Evaluating the Options:
Option A: AWS/ApplicationELB HealthyHostCount <= 0
- Why this is not the correct option:
- The HealthyHostCount metric indicates the number of healthy targets registered with the ALB. Setting this condition to `<= 0` would trigger an alarm when no healthy hosts are available.
- This option doesn't directly monitor unhealthy targets; rather, it looks at the number of healthy targets. The focus here should be on the unhealthy targets, not the healthy ones.
- Why rejected: This metric doesn't directly address the need to monitor unhealthy targets. It would trigger an alarm when there are no healthy instances, but it doesn't meet the exact requirement.
Option B: AWS/ApplicationELB UnhealthyHostCount >= 1
- Why this is the correct option:
- The UnhealthyHostCount metric tracks the number of unhealthy targets behind the ALB.
- Setting the alarm to `>= 1` means the alarm will trigger when at least one target becomes unhealthy. However, this doesn't fully meet the requirement of triggering the alarm when all instances are unhealthy. But it's a reasonable metric if you are monitoring for any unhealthy targets.
- Why this is the closest match: It monitors the health of the targets and ...
Author: RadiantPhoenixX · Last updated Jul 17, 2026
A company uses AWS Organizations to manage its multi-account environment. The organization contains a dedicated account for security and a dedicated account for logging. A SysOps administrator needs to implement a centralized solution that provides alerts when a re...
To solve this problem, we need to consider the following requirements:
1. Centralized Monitoring: The SysOps administrator needs alerts when any resource metric across multiple accounts crosses a threshold.
2. Multi-account Environment: The solution must work across all accounts in the AWS Organization, including security and logging accounts.
3. Alerting: The alerts must be sent to a centralized notification system, likely a logging or security account, and should be triggered by CloudWatch alarms.
Evaluating the Options
A) Deploy an AWS CloudFormation stack set to the accounts in the organization. Use a template that creates the required Amazon CloudWatch alarms and references an Amazon Simple Notification Service (Amazon SNS) topic in the logging account with publish permissions for all the accounts.
- Pros:
- Centralized solution: This approach uses AWS CloudFormation StackSets, which allow you to deploy resources across multiple AWS accounts in an organization efficiently.
- Centralized alerting: The alarms can reference an SNS topic located in the logging account, which centralizes the alerting mechanism.
- Scalable: The StackSet can deploy to multiple accounts at once.
- Secure: By managing permissions in AWS, it ensures that only the intended accounts have access to publish messages to the SNS topic.
- Cons:
- Requires proper IAM permissions and trust relationships for cross-account communication (SNS publish permissions).
- Why it's selected: This option fits well because it provides a centralized, scalable solution that can deploy alarms across multiple accounts and send alerts to a central SNS topic, meeting the organization's requirement for centralized alerting.
B) Deploy an AWS CloudFormation stack in each account. Use the stack to deploy the required Amazon CloudWatch alarms and the required Amazon Simple Notification Service (Amazon SNS) topic.
- Pros:
- Simple and straightforward to implement within individual accounts.
- Each account has its own SNS topic for alerts.
- Cons:
- Decentralized: This approach creates a separate SNS topic for each account, which could lead to scattered alerts across multiple accounts. It would not centralize the alerts in the logging or security account.
- Higher management overhead: Managing SNS topics in every account and handling cross-account publishing can become complex and error-prone.
- Why it's rejected: This approach does not centralize the alerting mechanism as the alerts would be distributed across ...
