Microsoft Practice Questions, Discussions & Exam Topics by our Authors
You develop an ASP. Net Care application by integrating the Application Insights SDK into your solution.
The application sends a very high rate of telemetry in a short time interval. You observe a reduced number of events, traces, and metrics being recorded and increased error rates for telemetry ingestion. Telemetry data must synchronize the client and server information to allow HTTP request and response correla...
Analysis of the scenario:
- You are working with an ASP.NET Core application integrated with the Application Insights SDK.
- The application is sending a very high rate of telemetry data, resulting in:
- Reduced number of events, traces, and metrics recorded.
- Increased error rates for telemetry ingestion.
- The need to synchronize client and server information for HTTP request/response correlation.
- The goal is to reduce telemetry traffic, data costs, and storage costs, while ensuring that the statistical analysis of the telemetry data remains accurate.
Option Breakdown:
1. A) Set a daily cap on the Log Analytics workspace. Create an Activity log alert rule.
- Setting a daily cap on the Log Analytics workspace would limit the data ingestion for the workspace, but it doesn’t directly address the root issue, which is the high volume of telemetry traffic from the application itself. This approach might result in missing telemetry data once the cap is reached.
- The Activity log alert rule would monitor activity but wouldn’t reduce the telemetry traffic or solve the ingestion errors.
- Not ideal, as this doesn't solve the core issue of reducing telemetry data sent from the application or improving telemetry ingestion efficiency.
2. B) Modify the pricing tier for the Log Analytics workspace.
- Modifying the pricing tier might impact how much you pay for data retention and query costs, but it does not address the telemetry traffic or ingestion problem from the application side. Changing the pricing tier won’t solve the problem of excessive telemetry volume being sent or reduce the ingestion errors.
- Not relevant, as it focuses on cost rather than optimizing telemetry traffic or the data synchronization.
3. C) Verify adaptive sampling is enabled. Set the maxTelemetryItemsPerSecond value.
- Adaptive sampling is a fe...
Author: Ahmed · Last updated Jul 23, 2026
SNAPSHOT
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Case study
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This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
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To start the case study
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To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. When you are ready to answer a question, click the Question button to return to the question.
Background
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F...
Author: Aria · Last updated Jul 23, 2026
SNAPSHOT
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You have an Azure App Service web app named App1. App1 has Application Insights enabled.
You plan to review the configuration of telemetry sampling for Application Insights of App1.
You need to author an analytics query that will return the sampling rate.
How should you complete t...
Author: Maya · Last updated Jul 23, 2026
SNAPSHOT
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You have a web app named App1 hosted on you, on-premises web server.
You plan to use the Application Insights JavaScript SDK to implement client-side Real User Monitoring (RUM) of individual pages of App1.
You need to author the script element that will be added to each of the pages.
What should you set for the value of src and cfg ...
Author: Aria · Last updated Jul 23, 2026
You develop an ASP. Net Core application by integrating the Application Insights SDK into your solution.
The application sends a very high rate of telemetry in a short time interval. You observe a reduced number of events, traces, and metrics being recorded and increased error rates for telemetry ingestion.
You need to reduce telemetry traffic, data costs, and storage costs while preserving a sta...
Analysis of the scenario:
- You are working with an ASP.NET Core application integrated with Application Insights SDK to monitor telemetry data.
- The application is sending a high rate of telemetry data in a short period, leading to:
- Reduced number of events, traces, and metrics being recorded.
- Increased error rates for telemetry ingestion.
- The goal is to reduce telemetry traffic, data costs, and storage costs, while ensuring statistical correctness in analysis and preserving the ability to correlate HTTP request and response data.
Option Breakdown:
1. A) Configure a Log Analytics workspace data collection rule (DCR). Use a Kusto Query Language (KQL) statement to filter incoming data.
- Data Collection Rules (DCR) in Log Analytics allow you to customize the data collection process, but they filter incoming data based on criteria you set. However, this option primarily affects data post-ingestion and does not address the issue of controlling telemetry volume at the point of collection.
- Using KQL to filter data is helpful for storage optimization but does not reduce the actual telemetry traffic sent to Application Insights, which is the root cause of the issue. It doesn't solve the problem of ingestion errors caused by excessive telemetry volume.
- Not ideal because it doesn't directly reduce the telemetry traffic being sent.
2. B) Disable adaptive sampling. Enable and configure the fixed-rate sampling module.
- Disabling adaptive sampling will actually increase telemetry traffic, not reduce it. Adaptive sampling is a feature that automatically adjusts the amount of telemetry being collected based on the application load, so disabling it would exacerbate the traffic problem.
- Fixed-rate sampling allows you to control telemetry collection by specifying a fixed rate, but it could result in data being missed if not configured correctly, and it may lead to non-statistical analysis if the sample rate is not representative of actual traffic.
- Not ideal because it would increase traffic and may lead to biased data if the rate is not carefully configured.
3. C) Set a daily...
Author: Evelyn · Last updated Jul 23, 2026
SNAPSHOT
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You have an Azure Function app named App1 written in C# and an Application Insights workspace named Workspace1. App is implemented with Application Insights enabled and is configured to send its telemetry to Workspace1.
You observe that App1 telemetry collection regularly exceeds monthly quotas of Workspace1.
You need to ensure that the telemetry volume remains within t...
Author: Elijah · Last updated Jul 23, 2026
You have an Azure subscription that contains an Application Insights resource named AI1 and an Azure App Service web app named App1.
You create a Standard availability test in AI1. You set its URL to point to App1.
You need to ensure tha...
Analysis of the Scenario:
You have an Application Insights resource (AI1) and an Azure App Service web app (App1).
- You have configured a Standard availability test in AI1 with the URL pointing to App1.
- You need to ensure email notifications are sent to the owners of the subscription whenever the test fails.
Explanation of the options:
1. A) Create an action group:
- An action group is a collection of notification preferences, such as email, SMS, and webhook, that can be used to trigger actions when an alert is fired. However, creating an action group alone does not define the condition for when the action should occur. It needs to be associated with an alert rule that defines the conditions (such as the failure of the availability test).
- Not enough by itself because it does not define the condition for triggering the notification. You still need an alert rule to trigger the action group.
2. B) Create an alert rule:
- An alert rule defines the conditions under which the system should trigger a notification. You would typically configure an alert rule to monitor the availability test's result in AI1 and then specify that any failed tests trigger an email notification.
- This is the correct approach. The alert rule will use the availability test’s results to determine when a failure occurs, and you can link it to an...
Author: NightmareDragon2025 · Last updated Jul 23, 2026
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are developing an Azure solution to collect point-of-sale (POS) device data from 2,000 stores located throughout the world. A single device can produce 2 megabytes (MB) of data every 24 hours. Each store location has one to five devices that send data.
You must store the device data in Azure Blob storage. Devic...
Solution Evaluation:
Let's break down the solution in question:
Scenario Breakdown:
- Data Source: 2,000 stores around the world, each with 1 to 5 POS devices.
- Data Volume: Each device sends 2 MB of data every 24 hours, totaling 4 MB (min) to 10 MB (max) of data per store per day.
- Requirement: The data must be stored in Azure Blob Storage, and the data must be correlated based on a device identifier.
- Future Expansion: More stores will open in the future, so scalability is needed.
- Goal: Implement a solution to collect and process data from POS devices.
The Proposed Solution:
- Provisioning an Azure Service Bus: Azure Service Bus provides messaging capabilities, but this solution is more oriented for message queuing and handling, not directly for storing large amounts of data like Azure Blob Storage. Service Bus is more suited for smaller message payloads (in the KB range).
- Topic with Correlation Filter: Service Bus topics allow filtering messages, and using a correlation filter could help in correlating data based on the device identifier. However, it’s not optimized for storing large files or large amounts of data, like the 2 MB from each device every day...
Author: Olivia · Last updated Jul 23, 2026
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are developing an Azure solution to collect point-of-sale (POS) device data from 2,000 stores located throughout the world. A single device can produce 2 megabytes (MB) of data every 24 hours. Each store location has one to five devices that send data.
You must store the device data in Azure Blob sto...
Solution Evaluation:
Let's analyze the scenario and the proposed solution in detail:
Scenario Breakdown:
- Data Source: 2,000 stores worldwide, with each store having 1 to 5 POS devices.
- Data Volume: Each device produces 2 MB of data every 24 hours, totaling 4 MB to 10 MB of data per store daily.
- Storage Requirement: The data needs to be stored in Azure Blob Storage.
- Correlation Requirement: The device data needs to be correlated based on a device identifier.
- Future Expansion: More stores will open in the future, which means the solution should be scalable.
The Proposed Solution:
- Provisioning an Azure Event Grid: Event Grid is an event-routing service that facilitates the delivery of events from event sources to event handlers. It is ideal for event-driven architectures and real-time event processing.
- Event Filtering Based on Device Identifier: Event Grid allows event filtering and can evaluate specific event properties, such as a device identifier. This filtering capability can ensure that the right device data is processed based on the identifier.
Why This Solution Might Not Meet the Goal:
- Event Grid is Designed for Event Notifications: Event Grid is built for handling events, not for storing large amounts of data. It’s more suitable for managing notifications and triggering actions in real-time. In this scenario, Event Grid could be used to send notifications when new data is available, but it is not intended to hold or store large datasets like th...
Author: Chloe · Last updated Jul 23, 2026
DRAG DROP -
You manage several existing Logic Apps.
You need to change definitions, add new logic, and optimize these apps on a regular basis.
What should you use? To answer, drag the appropriate tools to the correct functionalities. Each tool may be used once, more than once, or not at all. You may need...
Author: Liam · Last updated Jul 23, 2026
A company is developing a solution that allows smart refrigerators to send temperature information to a central location.
The solution must receive and store messages until they can be processed. You create an Azure Service Bus instance by providing a name, pricing tier, subscription, resource group, ...
Author: Alexander · Last updated Jul 23, 2026
SNAPSHOT -
You are developing an application that uses Azure Storage Queues.
You have the following code:
For each of the following statements, select Yes if the statement is true. O...
Author: Suresh · Last updated Jul 23, 2026
A company is developing a solution that allows smart refrigerators to send temperature information to a central location.
The solution must receive and store messages until they can be processed. You create an Azure Service Bus instance by providing a name, pricing tier, subscription, resource group, ...
Author: Emma · Last updated Jul 23, 2026
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are developing an Azure Service application that processes queue data when it receives a message from a mobile application. Messages may not be sent to the service consistently.
You have the following requirements:
* Queue size must not grow larger than 80 gigabytes (GB).
* Use first-in-fi...
Solution Evaluation:
Let's break down the requirements and the proposed solution:
Requirements:
1. Queue size must not grow larger than 80 GB.
2. First-in-first-out (FIFO) ordering of messages.
3. Minimize Azure costs.
The Proposed Solution:
- Azure Storage Queue: Azure Storage Queue is a basic messaging service for storing large amounts of messages and is commonly used in scenarios where a simple, scalable, and reliable queue is required. It is well-suited for scenarios that don't demand advanced features like message prioritization or complex message handling.
- Azure Function App with Storage Queue Trigger: The Azure Function App is designed to automatically process messages when they are added to the Azure Storage Queue. This would work well in a serverless model where the function processes messages as they come in, without the need for persistent server infrastructure.
Analyzing the Requirements and Solution:
1. Queue Size (80 GB Limit):
- Azure Storage Queue supports large volumes of messages and is cost-effective for storing message data. However, Storage Queues are not designed to enforce a strict queue size limit (e.g., 80 GB). While Azure Storage Queues can hold large amounts of data, there is no direct mechanism to ensure the queue size stays below 80 GB. You would need to implement custom logic to check the queue size and delete or archive old messages to meet this requirement, which could increase complexity and costs.
2. FIFO O...
Author: Samuel · Last updated Jul 23, 2026
DRAG DROP -
You develop software solutions for a mobile delivery service. You are developing a mobile app that users can use to order from a restaurant in their area. The app uses the following workflow:
1. A driver selects the restaurants for which they will deliver orders.
2. Orders are sent to all available drivers in an area.
3. Only orders for the selected restaurants will appear for the driver.
4. The first driver to accept an order removes it from the list of available orders.
You need to implement an...
Author: ElectricLionX · Last updated Jul 23, 2026
SNAPSHOT -
You develop a news and blog content app for Windows devices.
A notification must arrive on a user's device when there is a new article available for them to view.
You need to implement push notifications.
How should you complete the code segment? To ans...
Author: RadiantPhoenixX · Last updated Jul 23, 2026
You are developing an Azure messaging solution.
You need to ensure that the solution meets the following requirements:
* Provide transactional support.
* Provide duplicate detection.
* Store the messages for an unlimited period of time.
Which two technologies will me...
Solution Evaluation:
Let's break down the requirements and analyze which Azure messaging technologies meet them:
Requirements:
1. Transactional Support: The ability to perform multiple operations (send, receive, etc.) in a single, all-or-nothing transaction. This ensures consistency across operations.
2. Duplicate Detection: The system should be able to detect and avoid processing the same message more than once, preventing the delivery of duplicate messages.
3. Unlimited Message Storage: The ability to store messages for an indefinite period, without a predefined retention limit.
Options:
A) Azure Service Bus Topic:
- Transactional Support: Azure Service Bus supports transactional operations using message sessions and atomic transactions. You can use it to ensure that multiple operations within a transaction are committed or rolled back together.
- Duplicate Detection: Azure Service Bus also supports duplicate detection. By enabling this feature, you can ensure that duplicate messages with the same MessageId are not processed.
- Unlimited Message Storage: Azure Service Bus allows you to configure message retention for up to 7 days. However, this is not unlimited storage. For long-term message storage, you would need to use a different solution like Blob Storage.
- Conclusion: Service Bus Topics can meet transactional support and duplicate detection requirements but do not provide unlimited storage.
B) Azure Service Bus Queue:
- Transactional Support: Like topics, Service Bus Queues also provide transactional support and message sessions.
- Duplicate Detection: It supports duplicate detection based on the MessageId, ensuring that duplicate messages are not delivered.
- Unlimited Message Storage: Similar to topics, Azure Service Bus Queues can store messages for up to 7 days, so they do not offer unlimited storage.
- Conclusion: Service Bus Queues meet transactional support and duplicate detection but do not provide unlimited storage.
C) Azure Storage Queue:
- Transact...
Author: Ella · Last updated Jul 23, 2026
DRAG DROP -
You develop a gateway solution for a public facing news API.
The news API back end is implemented as a RESTful service and hosted in an Azure App Service instance.
You need to configure back-end authentication for the API Management service instance.
Which target and gateway credential type should you use? To answer, drag the appropriate values to the correct parameters. Each value may be used on...
Author: Leah · Last updated Jul 23, 2026
SNAPSHOT -
You are creating an app that uses Event Grid to connect with other services. Your app's event data will be sent to a serverless function that checks compliance.
This function is maintained by your company.
You write a new event subscription at the scope of your resource. The event must be invalidated after a specific period of time.
You need to config...
Author: FrozenWolf2022 · Last updated Jul 23, 2026
SNAPSHOT -
You are working for Contoso, Ltd.
You define an API Policy object by using the following XML markup:
For each of the following statements, select Yes if the statement is true....
Author: Ahmed97 · Last updated Jul 23, 2026
You are developing a solution that will use Azure messaging services.
You need to ensure that the solution uses a publish-subscribe model and eliminates the need for constant polling.
What are two possible ways to achieve the goal?...
Solution Evaluation:
Let's analyze the requirements and evaluate each option:
Goal:
- Publish-Subscribe Model: A messaging pattern where multiple subscribers can receive messages published by a single producer.
- Eliminate Constant Polling: The solution should use push-based mechanisms rather than requiring constant polling by the consumers.
Options:
A) Service Bus:
- Publish-Subscribe Model: Azure Service Bus Topics support the publish-subscribe model. A publisher can send messages to a topic, and multiple subscribers (using subscriptions) can receive copies of the messages.
- Polling Elimination: Service Bus supports push-based notifications to subscribers using Azure Service Bus triggers (like Azure Functions or other listeners). This eliminates the need for constant polling.
- Conclusion: Azure Service Bus meets both requirements: it supports the publish-subscribe model, and subscribers do not need to poll but can listen for new messages through push-based notifications.
B) Event Hub:
- Publish-Subscribe Model: Event Hub supports the publish-subscribe model in a way that multiple consumers (event processors) can read the stream of events. However, it is typically used for event streaming rather than discrete message processing.
- Polling Elimination: Event Hub uses consumer groups to allow multiple consumers to read the same event stream, but it doesn’t directly offer push-based delivery to subscribers. It still requires consumers to pull or poll for new events. So, constant polling may still be required for consumers to fetch events.
- Conclusion: Event Hub is more focused on streaming and event processing rather than a direct publish-subscribe messaging pattern, and it does...
Author: Evelyn · Last updated Jul 23, 2026
A company is implementing a publish-subscribe (Pub/Sub) messaging component by using Azure Service Bus. You are developing the first subscription application.
In the Azure portal you see that messages are being sent to the subscription for each topic. You create and initialize a subscription client object by supplying the correct details, but the subscription a...
Solution Evaluation:
The scenario involves a publish-subscribe (Pub/Sub) messaging system using Azure Service Bus, where the subscription application is not consuming messages despite the subscription receiving them. The task is to ensure that the subscription client processes all messages.
Let’s go through each code segment to identify the correct solution:
Key Concepts:
- SubscriptionClient: This is the client object used to receive messages from a Service Bus subscription.
- Message Handler: In a Pub/Sub model with Azure Service Bus, messages are processed by registering a message handler, which retrieves and processes the messages as they arrive.
Evaluating Each Option:
A) `await subscriptionClient.AddRuleAsync(new RuleDescription(RuleDescription.DefaultRuleName, new TrueFilter()));`
- Explanation: This code creates a new rule for the subscription. A rule allows filtering messages in the subscription. By default, Azure Service Bus applies the default rule which allows all messages to be delivered to the subscription. However, adding a new rule or modifying the default rule is typically not required unless you are customizing how messages are filtered before being processed.
- Why It’s Incorrect: This doesn’t directly impact the process of consuming messages from the subscription. The issue in the scenario seems to be related to consuming messages, not filtering them.
B) `subscriptionClient = new SubscriptionClient(ServiceBusConnectionString, TopicName, SubscriptionName);`
- Explanation: This code initializes the `SubscriptionClient` with the required connection details. While this is essential for creating the `SubscriptionClient` object, it does not deal with the actual process of receiving or handling mes...
Author: SolarFalcon11 · Last updated Jul 23, 2026
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are developing an Azure Service application that processes queue data when it receives a message from a mobile application. Messages may not be sent to the service consistently.
You have the following requirements:
* Queue size must not grow larger than 80 gigabytes (GB).
* Use first-in-f...
Let's break down the requirements and analyze the proposed solution:
Requirements:
1. Queue size must not grow larger than 80 GB.
2. Use first-in-first-out (FIFO) ordering of messages.
3. Minimize Azure costs.
Proposed Solution:
- Use the .NET API to add a message to an Azure Storage Queue from the mobile application.
- Create an Azure VM that is triggered from Azure Storage Queue events.
Analysis:
- Azure Storage Queue:
- FIFO Ordering: Azure Storage Queue, by default, does not guarantee FIFO (First In, First Out) ordering. Azure Storage Queues typically use a best-effort approach for message delivery order. To guarantee FIFO ordering, Azure Service Bus Queues would be a better choice, as it explicitly supports FIFO.
- Queue Size: Azure Storage Queues have a maximum message size of 64 KB and can support up to 500 TB of data. However, monitoring the queue size to not exceed 80 GB is something you would need to manage yourself. Using Storage Queues means you would have to actively manage your data to prevent exceeding the size limit. You would also need to monitor the VM’s performance to ensure that it processes messages in a timely fashion.
- Azure VM:
- Using an Azure VM trig...
Author: Ahmed · Last updated Jul 23, 2026
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are developing an Azure Service application that processes queue data when it receives a message from a mobile application. Messages may not be sent to the service consistently.
You have the following requirements:
* Queue size must not grow larger than 80 gigabytes (GB).
* Use first-in-first-o...
Let's analyze the requirements and the proposed solution:
Requirements:
1. Queue size must not grow larger than 80 GB.
2. Use first-in-first-out (FIFO) ordering of messages.
3. Minimize Azure costs.
Proposed Solution:
- Use the .NET API to add a message to an Azure Service Bus Queue from the mobile application.
- Create an Azure Windows VM that is triggered from Azure Service Bus Queue events.
Analysis:
- Azure Service Bus Queue:
- FIFO Ordering: Azure Service Bus Queues support FIFO (First-In-First-Out) message ordering when configured with a Session-enabled queue. This is a key advantage because the requirements explicitly call for FIFO message ordering. Azure Service Bus ensures that messages are processed in the same order they were sent if they are grouped by sessions.
- Queue Size Management: Service Bus Queues support up to 80 GB of data by default, which meets the requirement that the queue size should not grow beyond 80 GB. If the queue grows too large, older messages are automatically removed, and this can be managed via dead-letter queues for further processing.
- Azure Windows VM:
- The proposed solution uses an Azure Windows VM that is triggered by Service Bus Queue events. While this is technically feasible, using a VM in ...
Author: Carlos Garcia · Last updated Jul 23, 2026
DRAG DROP -
You are developing a REST web service. Customers will access the service by using an Azure API Management instance.
The web service does not correctly handle conflicts. Instead of returning an HTTP status code of 409, the service returns a status code of 500. The body of the status message contains only the word conflict.
You need to ensure that conflicts produce the correct response.
How should you complete the policy? To answer, drag the appropriate code segments to the correct locat...
Author: MysticJaguar44 · Last updated Jul 23, 2026
DRAG DROP -
You are a developer for a Software as a Service (SaaS) company. You develop solutions that provide the ability to send notifications by using Azure Notification
Hubs.
You need to create sample code that customers can use as a reference for how to send raw notifications to Windows Push Notification Services (WNS) devices.
The sample code must not use external packages.
How should you complete the code segment? To answer, drag the appropriate code segments to the correct location...
Author: VenomousSerpent42 · Last updated Jul 23, 2026
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are developing an Azure solution to collect point-of-sale (POS) device data from 2,000 stores located throughout the world. A single device can produce
2 megabytes (MB) of data every 24 hours. Each store location has one to five devices that send data.
You must store the device data in Azure Blob storage. De...
Let's break down the requirements and the proposed solution:
Requirements:
1. Store device data in Azure Blob storage.
2. Device data must be correlated based on a device identifier.
3. Each store has one to five devices producing data, and additional stores will be added.
4. Device data comes from 2,000 stores worldwide.
5. Each device produces 2 MB of data every 24 hours.
Proposed Solution:
- Provision an Azure Event Hub.
- Configure the machine identifier as the partition key.
- Enable capture.
Analysis:
- Azure Event Hub:
- Event Hub as a data streaming service is designed to handle high-throughput data ingestion, which suits the large volume of data coming from 2,000 stores. However, it primarily focuses on real-time data processing rather than persistent storage.
- Partitioning by Machine Identifier: By using the machine identifier as the partition key, the data from each device can be kept in distinct partitions, making it easier to correlate the device data. This ensures that data from the same device is processed together in the same partition.
- Capture feature: The Capture feature of Event Hub allows you to automatically store incoming event data to Azure Blob Storage in a structur...
Author: Amira · Last updated Jul 23, 2026
DRAG DROP -
You are developing an Azure solution to collect inventory data from thousands of stores located around the world. Each store location will send the inventory data hourly to an Azure Blob storage account for processing.
The solution must meet the following requirements:
* Begin processing when data is saved to Azure Blob storage.
* Filter data based on store location information.
* Trigger an Azure Logic App to process the data for output to Azure Cosmos DB.
* Enable high availability and geographic distribution.
* Allow 24-hours for retries.
...
Author: Zara · Last updated Jul 23, 2026
You are creating an app that will use CosmosDB for data storage. The app will process batches of relational data.
You need t...
Let's analyze the options based on the given requirement:
Requirement:
- The app will use CosmosDB for data storage and will process batches of relational data.
Option A: MongoDB API
- The MongoDB API allows you to use CosmosDB with a MongoDB-compatible interface.
- MongoDB is a NoSQL database, which is designed for document-based storage (JSON-like documents).
- Relational Data is not the best fit for MongoDB since it's designed for flexible, schema-less data structures.
- Rejection Reason: This API is not ideal for relational data processing since it does not natively support relational concepts like tables, joins, or structured schemas.
Option B: Table API
- The Table API in CosmosDB provides a key-value store (similar to Azure Table Storage).
- It is typically used for non-relational data with simple key-value access patterns and is best for storing large amounts of non-relational data.
- Rejection Reason: The Table API is not suitable for relational data because it doesn't support relational features like joins or foreign keys, which are necessary for processing relational data.
Option C: SQL API
- The SQL API in CosmosDB is a document-based API but it provides support for SQL-like querying, which is useful for querying and processing data in a structured format.
- Although Cosmo...
Author: Daniel · Last updated Jul 23, 2026
SNAPSHOT -
You are developing a .NET application that communicates with Azure Storage.
A message must be stored when the application initializes.
You need to implement the message.
How should you complete the code segment? To answer, select...
Author: Max · Last updated Jul 23, 2026
SNAPSHOT -
A software as a service (SaaS) company provides document management services. The company has a service that consists of several Azure web apps. All
Azure web apps run in an Azure App Service Plan named PrimaryASP.
You are developing a new web service by using a web app named ExcelParser. The web app contains a third-party library for processing Microsoft Excel files.
The license for the third-party library stipulates that you can only run a single instance of t...
Author: Sofia2021 · Last updated Jul 23, 2026
DRAG DROP -
You have an application that provides weather forecasting data to external partners. You use Azure API Management to publish APIs.
You must change the behavior of the API to meet the following requirements:
* Support alternative input parameters
* Remove formatting text from responses
* Provide additional context to back-end services
Which types of policies should you implement? To answer, drag the policy types to the correct requirements. Each p...
Author: Oscar · Last updated Jul 23, 2026
You are developing an e-commerce solution that uses a microservice architecture.
You need to design a communication backplane for communicating transactional messages between various parts of the solution...
When designing an e-commerce solution using a microservice architecture and requiring FIFO (First-In-First-Out) message ordering, the choice of communication backplane is critical. Let's examine each option:
A) Azure Storage Queue
- Pros:
- FIFO support: Azure Storage Queues support FIFO behavior, making it suitable for scenarios where the order of processing is important.
- Low cost: It is relatively inexpensive for simple message queues with moderate throughput requirements.
- Cons:
- Limited features: It has fewer features compared to other options (e.g., lacks message routing, dead-letter queues, and does not support message ordering for multiple consumers).
- Scalability: While it can scale, it is not as robust as Azure Service Bus in handling high throughput with more advanced features.
- Best use case: Suitable for simple use cases where low cost and FIFO order are essential, and the advanced features of other services are not needed.
B) Azure Event Hub
- Pros:
- High throughput: Designed for handling large-scale streaming and event ingestion scenarios (millions of events per second).
- Scalability: Highly scalable and suited for big data and telemetry use cases.
- Cons:
- No FIFO ordering: Event Hubs do not guarantee FIFO message ordering.
- Not transactional: It is more for stream processing rather than transactional messages.
- Best use case: Ideal for real-time analytics, telemetry data ingestion, or high-throughput event streaming, but not suitable for transactional messages where order is crucial.
C) Azure Service Bus
- Pros:
- FIFO support: Azure Service Bus supports FIFO message ordering, especially when using queues (message order can be preserved as long as a single consumer is reading the messages).
- Advanced features: It supports messa...
Author: Charlotte · Last updated Jul 23, 2026
DRAG DROP -
A company backs up all manufacturing data to Azure Blob Storage. Admins move blobs from hot storage to archive tier storage every month.
You must automatically move blobs to Archive tier after they have not been modified within 180 days. The path for any item that is not archived must be placed in an existing queue. This operation must be performed automatically once a month. You set the value of TierAgeInDays to -180.
How should you configure the Logic App? To answer, drag the appropriate triggers or action blocks to the correct trigger...
Author: Victoria · Last updated Jul 23, 2026
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are developing an Azure Service application that processes queue data when it receives a message from a mobile application. Messages may not be sent to the service consistently.
You have the following requirements:
* Queue size must not grow larger than 80 gigabytes (GB).
* Use first-in-first-o...
Evaluation of the Solution:
The proposed solution involves using an Azure Service Bus Queue triggered by an Azure Function App. Let’s analyze this approach with respect to the requirements:
Queue Size Limitation:
- Azure Service Bus Queue supports a maximum size of 80 GB for a standard tier. This aligns with the stated requirement of not exceeding 80 GB for the queue size. However, keep in mind that this solution should avoid creating a queue that would potentially grow beyond this size, which could require monitoring and implementing some auto-scaling or cleanup strategy.
FIFO Ordering:
- Azure Service Bus does support FIFO (First-In-First-Out) message ordering, but it is only guaranteed under certain conditions. FIFO order is maintained as long as messages are processed by a single consumer or the same session is used to process messages. If the queue is used in this manner (i.e., one consumer or with sessions enabled), the FIFO requirement would be met.
- However, if there are multiple consumers, FIFO ordering may not be guaranteed across them unless session-based queues are used. But since the solution does not specify multiple consumers, we can assume FIFO can be maintained if used correctly.
Minimize Azure Costs:
- Azure Service Bus is more expensive than Azure Storage Queues, especially for standard messaging scenarios. While Azure Service Bus provides the required FIFO functionality and other advanced features (like message sessions, dead-lette...
Author: RadiantPhoenixX · Last updated Jul 23, 2026
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are developing an Azure solution to collect point-of-sale (POS) device data from 2,000 stores located throughout the world. A single device can produce 2 megabytes (MB) of data every 24 hours. Each store location has one to five devices that send data.
You must store the device data in ...
Evaluation of the Solution:
Solution Overview:
The proposed solution involves provisioning an Azure Notification Hub and registering all devices with it. The Azure Notification Hub is primarily used for sending push notifications to mobile devices, including smartphones, tablets, and other devices. Let's evaluate whether this solution aligns with the requirements.
Requirements:
1. Storing Device Data in Azure Blob Storage: The requirement specifies that the device data must be stored in Azure Blob Storage. This is intended to handle large amounts of data that can scale as more stores open. Notification Hub does not inherently provide data storage capabilities, nor does it allow for direct storage in Blob storage.
2. Correlating Data Based on Device Identifier: Each device sends data, and it must be correlated based on a device identifier. Notification Hub is not designed to handle data correlation based on identifiers or to store data; it is used to send notifications to devices and does not have functionality for storing or correlating device data.
3. Scalability for Future Stores: The solution should scale as more stores are added. Azure Notification Hub can scale to send notifications to a large number of devices, but it doesn’t address the need for storing and correlating data from these devices.
Why This Solution Doesn’t Meet the Goal:
- Not...
Author: William · Last updated Jul 23, 2026
You are building a loyalty program for a major snack producer. When customers buy a snack at any of 100 participating retailers the event is recorded in Azure
Event Hub. Each retailer is given a unique identifier that is used as the primary identifier for the loyalty program.
Retailers must be able to be added or removed at a...
Evaluation of the Solution:
The goal here is to ensure that retailers can record sales events in Azure Event Hub, while maintaining the requirement that retailers can only record sales for themselves, and that retailers can be added or removed dynamically. Let's evaluate the provided options based on these requirements:
A) Use publisher policies for retailers:
- Publisher policies allow controlling how event data is published to Event Hub, such as setting access policies for producers of events (publishers). However, Event Hub does not have a native publisher policy concept for restricting which retailers can publish to an Event Hub. The publisher policies (typically linked to access rights or credentials) can control who can write to the Event Hub, but they do not provide fine-grained access control where each retailer is able to write only to their own partition or handle events based on a unique identifier.
- Why rejected: This solution does not allow for dynamic addition/removal of retailers in a manner that enforces data isolation per retailer. It also doesn't directly address the issue of partitioning or isolating data by retailer.
B) Create a partition for each retailer:
- Partitions in Azure Event Hub provide a way to split the event stream into multiple streams, allowing for parallel processing. Each retailer could have its own partition, ensuring that the events from each retailer are isolated from each other.
- Advantages:
- Data Isolation: Retailers will only be able to record sales events to their own partition, effectively ensuring that they only access and process their own data.
- Scalability: Adding a new retailer would simply involve adding a new partition. Removing a retailer would involve removing the partition associated with them.
- Dynamic Management: While partitions cannot be added or removed dynamicall...
Author: Daniel · Last updated Jul 23, 2026
DRAG DROP -
You develop and deploy a web app to Azure App Service in a production environment. You scale out the web app to four instances and configure a staging slot to support changes.
You must monitor the web app in the environment to include the following requirements:
* Increase web app availability by re-routing requests away from instances with error status codes and automatically replace instances if they remain in an error state after one hour.
* Send web server logs, application logs, standard output, and standard error messaging to an Azure Storage blob account.
You need to configure Azure App Service.
Which values should you use? To answer, ...
Author: Isabella · Last updated Jul 23, 2026
You develop a solution that uses Azure Virtual Machines (VMs).
The VMs contain code that must access resources in an Azure resource group. You grant the VM access to the resource group in Resource Manager.
You need to obtain an access token that uses the VM's system-...
To solve this scenario, the goal is to obtain an access token for the system-assigned managed identity of a Virtual Machine (VM) that can be used to access resources in an Azure resource group.
Key Concepts:
- System-assigned managed identity: This is a feature that allows Azure resources (like VMs) to authenticate to Azure services without needing credentials (such as usernames or passwords). The managed identity is automatically created and tied to the resource (in this case, the VM) and can be used to access other Azure resources.
- Access tokens: These are used to authenticate and authorize requests to Azure services, like Azure Resource Manager (ARM).
Let's review each option in the context of the scenario:
A) From the code on the VM, call Azure Resource Manager using an access token:
- Correct approach: To access Azure resources (like a resource group), the VM's code can call Azure Resource Manager (ARM) using an access token. The VM can obtain this token through its system-assigned managed identity by querying the local identity endpoint (`http://169.254.169.254/metadata/identity/oauth2/token`).
- Why selected: This is a valid and recommended approach. The managed identity access token can be used to authenticate the request to ARM, enabling access to the resource group and other resources.
B) Use PowerShell on a remote machine to make a request to the local managed identity for Azure resources endpoint:
- Incorrect: The local managed identity endpoint is only accessible from the VM itself, not from remote machines. To obtain the access token, the request must come from within the VM.
- Why rejected: A remote machine cannot directly access the local identity endpoint of a VM; only the VM itself can make this request. Therefore, this option is not suitable.
C) Use PowerShell on the VM to make a request to the local managed identity for Azure resource...
Author: Amira99 · Last updated Jul 23, 2026
You are developing a road tollway tracking application that sends tracking events by using Azure Event Hubs using premium tier.
Each road must have a throttling policy uniquely assigned.
You ne...
Evaluation of the Solution:
The goal is to implement throttling per road for a road tollway tracking application that sends tracking events using Azure Event Hubs Premium tier. Each road needs to have its own throttling policy. Let's evaluate each option based on this requirement.
Key Concepts:
- Azure Event Hubs Premium tier allows for more advanced features compared to the standard tier, including better scalability, better performance, and additional controls like throughput units and network isolation.
- Throttling generally means controlling the rate at which data can be sent or consumed. Azure Event Hubs doesn't provide native throttling policies based on specific application use cases, but you can manage message flow by controlling partitioning, consumer groups, and connection strings to handle data flow and access at a granular level.
Option Breakdown:
A) Use a unique consumer group for each road:
- Correct approach: Each consumer group in Event Hubs provides an independent view of the event stream, meaning that each road can have its own consumer group. This allows each road to process its own stream of events independently, and throttling can be achieved by managing the consumption rate or number of throughput units used by each consumer group.
- With different consumer groups, you can assign each road different processing rates or limits (via throughput units or connection policies), allowing for throttling on a per-road basis.
- Why selected: Using a unique consumer group allows each road to have its own distinct event stream processing, and you can control the throughput units or manage how much data is processed for each road independently. This gives you the required throttling per road.
B) Ensure each road stores events in a different partition:
- Incorrect: Partitions in Event Hubs are used for distributing events across multiple streams for parallel processing. While partitioning allows for scalability, it does not provide a way to throttle per road.
- U...
Author: Mia · Last updated Jul 23, 2026
You develop and deploy an ASP.NET Core application that connects to an Azure Database for MySQL instance.
Connections to the database appear to drop intermittently and the application code does not handle the connection failure.
You need to handle the transient connection errors in code by implementing retries.
What are t...
Goal:
We need to handle transient connection errors in an ASP.NET Core application that connects to an Azure Database for MySQL instance. The goal is to implement retries in the application code to handle connection failures.
Evaluation of the Options:
A) Close the database connection and immediately report an error:
- Incorrect: Closing the connection and reporting an error immediately does not address transient connection issues. Transient errors are temporary, and retrying the connection is often a more effective approach than reporting an error right away.
- Why rejected: This option would not implement retries to handle transient errors, which is the goal of the question. Instead of retrying, it simply fails immediately.
B) Disable connection pooling and configure a second Azure Database for MySQL instance:
- Incorrect: Disabling connection pooling may reduce performance and does not solve the problem of handling transient errors. Adding a second MySQL instance might improve availability in certain cases but does not directly address retry logic for transient connection failures.
- Why rejected: While connection pooling helps manage database connections more efficiently, disabling it might cause more overhead and does not specifically address retrying on transient errors. Moreover, configuring a second database instance would involve additional complexity and is unnecessary if transient errors can be handled by retries on the existing instance.
C) Wait five seconds before repeating the connection attempt to the database:
- Partially correct: Waiting before retrying is part of handling transient errors. Introducing a delay (such as 5 seconds) before retrying can be useful, especially for temporary network issues. However, a fixed delay of five seconds may not be optimal in all situations, and retrying just once may not be sufficient.
- Why rejected: While this option provides a basic retry mechanism, just one retry with a fixed wait does not fully address more complex retry strategies like...
Author: Matthew · Last updated Jul 23, 2026
You are building a B2B web application that uses Azure B2B collaboration for authentication. Paying customers authenticate to Azure B2B using federation.
The application allows users to sign up for trial accounts using any email address.
When a user converts to a paying customer, the data associated with the trial should be kept, but the user must authenticate using federation.
You need to update the use...
Goal:
You need to update the authentication method of a user in Azure Active Directory (Azure AD) when they convert from a trial account (authenticated with a one-time passcode) to a paying customer (authenticated via federation). This requires changing their authentication method while preserving the data associated with their trial account.
Key Concepts:
- Azure B2B collaboration: Allows external users (partners, suppliers, etc.) to access your resources. Authentication can be done using one-time passcodes (for users signing up for trial accounts) or via federation (for established paying customers).
- When a trial user transitions to a paying customer, they should still retain their account data but shift to a federated authentication method (such as using an identity provider like Azure AD, Google, etc.).
Let's evaluate the given options based on how to implement this change in authentication.
Option Breakdown:
A) resetRedemption:
- Incorrect: The `resetRedemption` parameter is used to reset a redemption process for an invitation but is not directly related to changing the authentication method from one-time passcodes to federation.
- Why rejected: This option doesn't address the core task of updating the authentication method for an existing user.
B) Status:
- Incorrect: The `status` parameter is typically used to set or query the status of a user or an invitation, such as Active, Pending, or Blocked. While this is useful for controlling the state of the user or invitation, it does not manage the authentication method for the user.
- Why rejected: This option is not relevant...
Author: Ava · Last updated Jul 23, 2026
SNAPSHOT
-
You develop an image upload service that is exposed using Azure API Management. Images are analyzed after upload for automatic tagging.
Images over 500 KB are processed by a different backend that offers a lower tier of service that costs less money. The lower tier of service is denoted by a header named x-large-request. Images over 500 KB must never be processed by backends for smaller images and must always be charged the lower price.
You need to implement API Management policies t...
Author: Krishna · Last updated Jul 23, 2026
SNAPSHOT
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You develop several Azure Functions app functions to process JSON documents from a third-party system. The third-party system publishes events to Azure Event Grid to include hundreds of event types, such as billing, inventory, and shipping updates.
Events must be sent to a single endpoint for the Azure Functions app to process. The events must be filtered by event type before processing. You must have authorization and authentication control to partition your tenants to rece...
Author: Ethan · Last updated Jul 23, 2026
A company is developing a solution that allows smart refrigerators to send temperature information to a central location.
The solution must receive and store messages until they can be processed. You create an Azure Service Bus instance by providing a name, pricing tier, subscription, res...
Goal:
You are developing a solution to receive and store messages from smart refrigerators and need to configure Azure Service Bus to store these messages until they can be processed.
Azure Service Bus Configuration:
Azure Service Bus is a fully managed messaging service that supports reliable message queuing. To receive and store messages, you typically need to create a queue within the Service Bus instance.
Steps:
1. You've already created an Azure Service Bus instance by specifying a name, pricing tier, subscription, resource group, and location.
2. Now, you need to configure the service by creating a queue where the temperature data from the refrigerators can be stored until it can be processed.
Let's evaluate the options for completing the configuration:
Option Breakdown:
A) `az servicebus queue create --name <queue_name> --resource-group <resource_group_name> --namespace-name <service_bus_name>`:
- Correct approach: This Azure CLI command creates a queue within an existing Azure Service Bus namespace. This command is used to complete the configuration by defining a queue where the refrigerator temperature data can be stored.
- The `--name` parameter defines the name of the queue.
- The `--resource-group` specifies the resource group containing the Service Bus namespace.
- The `--namespace-name` specifies the name of the Service Bus namespace.
- Why selected: This is the correct command for creating a queue in an existing Service Bus instance, ensuring that messages can be stored and processed later.
B) `az servicebus topic create --name <topic_name> --resource-group <resource_group_name> --nam...
Author: Liam · Last updated Jul 23, 2026
A company is developing a solution that allows smart refrigerators to send temperature information to a central location.
The solution must receive and store messages until they can be processed. You create an Azure Service Bus instance by providing a name, pricing tier, subscription, res...
Goal:
You need to configure Azure Service Bus to store messages from smart refrigerators until they can be processed. The Azure Service Bus instance has already been created, but now you need to complete the configuration by creating a queue where messages can be stored.
Key Concepts:
- Azure Service Bus provides queues and topics to store messages. Queues are used for point-to-point messaging, which fits the scenario where the temperature data is sent from multiple refrigerators to a central location.
- The configuration you need to complete is to create a queue in Azure Service Bus to hold the messages.
Options Breakdown:
A) `az servicebus queue create --name <queue_name> --resource-group <resource_group_name> --namespace-name <service_bus_name>`:
- Correct approach: This is the correct Azure CLI command to create a queue within an Azure Service Bus namespace. This will allow the solution to store messages from the refrigerators until they can be processed.
- The `--name` parameter specifies the name of the queue.
- The `--resource-group` parameter specifies the resource group where the Service Bus namespace resides.
- The `--namespace-name` parameter specifies the name of the Service Bus namespace where the queue will be created.
- Why selected: This is the right command to create a queue in the Service Bus, which will be used to store the temperature data sent by the refrigerators. This directly addresses the requirement.
B) `az servicebus topic create --name <topic_name> --resource-group <resource_group_name> --namespace-name <service_bus_name>`:
- Incorrect: This command is used to create a topic in Azure Service Bus. Topics are used for publish-...
Author: Emily · Last updated Jul 23, 2026
A company is developing a solution that allows smart refrigerators to send temperature information to a central location.
The solution must receive and store messages until they can be processed. You create an Azure Service Bus instance by providing a name, pricing tier, subscription, res...
Goal:
You need to complete the configuration of an Azure Service Bus instance that will receive and store messages sent from smart refrigerators with temperature information. The requirement is to store the messages until they can be processed. Since the Service Bus instance has already been created, the next step is to create a queue for storing the messages.
Key Concepts:
- Azure Service Bus is a fully managed messaging service that supports queues and topics.
- Queues are used for point-to-point communication, where a message is sent by a producer and received by a single consumer.
- You need to create a queue to store messages from the refrigerators until they can be processed.
Options Breakdown:
A) `az servicebus queue create --name <queue_name> --resource-group <resource_group_name> --namespace-name <service_bus_name>`:
- Correct approach: This Azure CLI command creates a queue within an existing Service Bus namespace. The queue will store messages from the smart refrigerators.
- `--name`: Specifies the name of the queue.
- `--resource-group`: Specifies the resource group where the Service Bus instance resides.
- `--namespace-name`: Specifies the Service Bus namespace where the queue will be created.
- Why selected: This command directly addresses the goal of creating a queue in an existing Service Bus instance. The queue is where messages from the refrigerators will be stored until they are processed.
B) `az servicebus topic create --name <topic_name> --resource-group <resource_group_name> --namespace-name <service_bus_name>`:
- Incorrect: This command creates a topic,...
Author: Samuel · Last updated Jul 23, 2026
DRAG DROP
-
You develop and deploy several APIs to Azure API Management.
You create the following policy fragment named APICounts:
The policy fragment must be reused across various scopes and APIs. The policy fragment must be applie...
Author: Aria · Last updated Jul 23, 2026
SNAPSHOT
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You are developing a solution that uses several Azure Service Bus queues. You create an Azure Event Grid subscription for the Azure Service Bus namespace. You use Azure Functions as subscribers to process the messages.
You need to emit events to Azure Event Grid from the queues. You must use the principal of least privilege and minimize costs.
W...
Author: Deepak · Last updated Jul 23, 2026
You are developing several Azure API Management (APIM) hosted APIs.
The APIs have the following requirements:
* Require a subscription key to access all APIs.
* Include terms of use that subscribers must accept to use the APIs.
* Administrators must review and accept or reject subscriptio...
Goal:
You need to implement Azure API Management (APIM) APIs with the following requirements:
1. Require a subscription key to access all APIs.
2. Include terms of use that subscribers must accept to use the APIs.
3. Administrators must review and accept or reject subscription attempts.
4. Limit the count of multiple simultaneous subscriptions.
Key Concepts:
- Azure API Management (APIM) allows you to expose, manage, and monitor APIs.
- Products in APIM are a way to organize and manage APIs and their subscriptions.
- Subscription keys are required for accessing APIs, and you can set up different policies for subscriptions, such as requiring terms of use, reviewing subscription attempts, and limiting the number of simultaneous subscriptions.
Option Breakdown:
A) Configure and apply header-based versioning:
- Incorrect: Header-based versioning is used to manage different versions of APIs by determining which version to call based on the request header. This does not address the specific requirements mentioned for subscription management, terms of use, and review of subscription attempts.
- Why rejected: This option does not fulfill the subscription key, terms of use, subscription approval, or limiting subscriptions requirements.
B) Create and publish a product:
- Correct approach: A product in Azure API Management can be used to group multiple APIs together. You can:
- Require a subscription key to access all APIs by associating them with a product.
- Include terms of use for the product that subscribers must accept when they subscribe to the product.
- Require administrative rev...
