Microsoft Practice Questions, Discussions & Exam Topics by our Authors

SNAPSHOT - You have a virtual machine that runs Windows Server 2019 and is managed by using Desired State Configuration (DSC). You have the following DSC configuration. You have the following Local Configuration Manager (LCM) configuration. For each of the following statement...

Author: Chloe · Last updated Jun 17, 2026

DRAG DROP - You have a web app named App1 that is hosted on multiple servers. App1 uses Application Insights in Azure Monitor. You need to compare the daily CPU usage from the last week for all servers. How should you complete the query? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not...

Author: SolarFalcon11 · Last updated Jun 17, 2026

You have an Azure subscription that contains 50 virtual machines. You plan to manage the configuration of the virtual machines by using Azure Automation State Configuration. You need to create the Desired ...

To create Desired State Configuration (DSC) files for Azure Automation, it is crucial to understand the structure and flow of how DSC configurations are written. In DSC, the configuration is a declarative way to define the desired state of your infrastructure. The DSC configuration is structured with several key elements: Configuration, Node, and Resource. Explanation of Each Option: - A) Node > Configuration > Resource: - This structure is incorrect because in DSC, the `Configuration` block should define the overall configuration, and inside that, you specify which nodes (i.e., the machines) should be configured. Resources are applied within the `Configuration` block to define the state of the system. Therefore, the `Node` block should not be before the `Configuration` block. - B) Configuration > Resource > Node: - This is the correct structure. A Configuration block defines the DSC configuration, then inside that, you specify the Resource block (which defines the resources or actions to be applied), and within that, you define the Node block, which specifies the target machines (nodes) that should apply the configuration. This is the most logical and correct sequence for DSC scripts. - C) Resource > Configuration > Node: - This structure is incorrect because the `Resource` block should come inside the `Configuration` block, and the `Node` block should sp...

Author: Maya · Last updated Jun 17, 2026

Your team uses Azure Pipelines to deploy applications. You need to ensure that when a failure occurs during the build or release process, all the team members are notified by using Micr...

To ensure that your team is notified in Microsoft Teams when a failure occurs during the build or release process in Azure Pipelines, you need a solution that integrates seamlessly with Azure Pipelines and Teams, while minimizing development effort. Let's review each option to identify the best solution: Option A: Install the Azure Boards app for Teams and configure a subscription to receive notifications in a channel. - Rejection Reason: While the Azure Boards app for Teams can help you track work items and activities in Azure Boards, it is not specifically designed for notifying team members about build or release failures in Azure Pipelines. This app focuses more on tracking work items and updates in Boards, not the pipeline status. - Scenario: If your team primarily needs notifications related to work item updates, rather than pipeline failures, this might be useful. However, it's not the best fit for the pipeline failure notification requirement. Option B: Use Azure Automation to connect to the Azure DevOps REST API and notify the team members. - Rejection Reason: While Azure Automation can automate tasks, setting up Azure Automation to monitor and respond to pipeline failures by interacting with the Azure DevOps REST API would require significant configuration and custom development. This approach is more complex and involves unnecessary effort compared to simpler notification options. - Scenario: This option might be suitable if you need highly customized or complex automation workflows that go beyond simple notification needs. However, for the task at hand (simple notifications for build/release failures), this approach is overkill. Option C: Use an Azure function to connect to the Azure DevOps REST API and notify the team members...

Author: CrimsonViperX · Last updated Jun 17, 2026

DRAG DROP - You have an app named App1. You have a Log Analytics workspace named Workspace1 that contains a table named AppEvents. App1 writes logs to Workspace1. You need to query the AppEvents table. The solution must meet the following requirements: * Only query rows for a column named Name that starts with the following text: "Clicked Create New Ticket." * Calculate the number of daily clicks per user. * Return the top 10 users based on their number of clicks for any day. * Sort the results based on the highest number of clicks. * Ignor...

Author: MoonlitPantherX · Last updated Jun 17, 2026

SNAPSHOT - You have an Azure subscription that contains two resource groups named ContosoRG and ContosoDev, an Azure data factory named Contoso Data Factory, and a release pipeline in Azure Pipelines named Pipeline1. You plan to deploy Contoso Data Factory to ContosoRG by using Pipeline1. You add the Azure Resource Manager (ARM) template deployment task shown in the following exhibit. Use th...

Author: Alexander · Last updated Jun 17, 2026

DRAG DROP - You have an Azure Pipeline. You need to store configuration values as variables. At which four scopes can the variables be defined, and what is the precedence of the variables from the highest precedence to lowest precedence? To answe...

Author: Emma · Last updated Jun 17, 2026

You have a project in Azure DevOps named Project1 that contains two environments named environment1 and environment2. When a new version of Project is released, the latest version is deployed to environment2, and the previous version is redeployed to environment1. You need to distribute users across the environments. The solution must meet the following requirements: * N...

In this scenario, you're tasked with gradually distributing users across two environments in Azure DevOps, where new releases are deployed to environment2, and the previous version remains deployed to environment1. The goal is to ensure that new releases are available only to a subset of users and gradually increase the number of users accessing environment2. Let's analyze the options based on the requirements: A) VIP swapping - Explanation: VIP swapping (Virtual IP swapping) is typically used to switch between two different versions of an application in the same environment, such as during deployment. However, this option is mostly used in a scenario where both environments are essentially deployed to the same underlying infrastructure, and it's more about switching between versions rather than gradually rolling out a new version to a subset of users. - Rejection Reason: It doesn’t allow for gradual user distribution across two different environments with different versions, and it doesn't fulfill the requirement of gradually increasing user access to environment2. B) Web App Deployment Slots - Explanation: Deployment slots allow you to deploy different versions of an app to different slots, such as staging and production. After testing, you can swap the slots, making the new version live. This is useful for rolling out applications incrementally to test different versions before going live. - Rejection Reason: While deployment slots are great for managing multiple versions of a web app in a controlled manner, they are designed for use within a single environment (such as staging and production), and do not inherently distribute traffic across separate environments or enabl...

Author: Leah Davis · Last updated Jun 17, 2026

DRAG DROP - You are designing a versioning strategy for Git-based packages. You plan to use a Semantic Versioning (SemVer)-based strategy. You need to identify when to change the build version. What should you identify for each scenario? To answer, drag the appropriate versions to the correct scenarios. Each version may be used once, more ...

Author: Nathan · Last updated Jun 17, 2026

DRAG DROP - You have an Azure subscription that uses Azure Automation State Configuration to manage the configuration of virtual machines. You need to identify which nodes are noncompliant. How should you complete the query? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than on...

Author: Ming88 · Last updated Jun 17, 2026

You have a project in Azure DevOps named Project1. You need to ensure that all new pipelines in Project1 execute three specific ta...

In this scenario, you're tasked with ensuring that every new pipeline in Project1 executes the same three specific tasks during execution. The goal is to set up a mechanism that ensures all pipelines follow the same task sequence, without needing to manually configure the tasks each time. Let's break down the options: A) A Task Group - Explanation: A task group is a collection of tasks that can be reused across different pipelines. When you create a task group, you define a set of tasks, and these tasks can be executed together as a single group in any pipeline. Once created, this task group can be easily reused in multiple pipelines, ensuring that those pipelines execute the same tasks in the same order. - Selected Reasoning: Since the requirement is to ensure the same three specific tasks are executed in all new pipelines, a task group is the most suitable option. It allows you to package those three tasks together as a reusable group, which can be referenced in any pipeline. This solution is highly efficient for enforcing consistency across pipelines. - Use Case: This is ideal when you have a common set of tasks that need to be executed in multiple pipelines across your project. B) A JSON Template - Explanation: A JSON template can be used to define pipeline configurations in a structured format. However, templates in JSON format are less commonly used in Azure DevOps as YAML is the more popular format for pipeline definitions. JSON templates can be applied for certain pipeline configurations, but it’s not as flexible or user-friendly for tasks like defining task sequences. - Rejection Reason: JSON templates are not the best fit for defining a reusable set of tasks that need to be executed across multiple pipelines. YAML templates or task groups would be more effective and straightforward for this use case. - Use Case: JSON templ...

Author: Kai99 · Last updated Jun 17, 2026

SNAPSHOT - You have a project in Azure DevOps that contains a release pipeline. The pipeline contains two stages named QA and Prod. QA deploys code to an Azure web app named webapp1. Prod deploys code to an Azure web app named webapp2. You need to ensure that code deployments to webapp2 are blocked if Azure Application Insights generates Failed requests alerts following the deployment of n...

Author: Ming · Last updated Jun 17, 2026

You have a project in Azure DevOps named Project1. You implement a Continuous Integration/Continuous Deployment (CI/CD) pipeline that uses PowerShell Desired State Configuration (DSC) to configure the application infrastructure. You need to perform...

In this scenario, you need to perform unit testing and integration testing of the configuration before deploying Project1. Since you're using PowerShell Desired State Configuration (DSC), you must ensure the configuration is correctly defined and functional before deployment. Let’s break down each option: A) The PSScriptAnalyzer Tool - Explanation: PSScriptAnalyzer is a static code analysis tool for PowerShell scripts. It checks scripts for best practices, code style, and potential issues. While it can help ensure your PowerShell scripts follow conventions and coding standards, it does not perform actual unit testing or integration testing of your DSC configurations. - Rejection Reason: PSScriptAnalyzer is used for static analysis of scripts and doesn't test the functional aspects of a DSC configuration. It's more suited for style checks, not for validating whether your DSC configuration will function as intended in real scenarios. - Use Case: Ideal for code quality and style checks, not for testing DSC configurations. B) The Pester Test Framework - Explanation: Pester is a popular testing framework for PowerShell that allows you to write unit tests and integration tests for PowerShell scripts and DSC configurations. It supports writing tests for DSC resources and configurations, making it an excellent choice for both unit and integration testing of your PowerShell DSC configurations. - Selected Reasoning: Pester is designed for testing PowerShell scripts and DSC configurations. It allows you to write unit tests to ensure individual resources or functions in your DSC configuration work correctly, and it can also be used for integration tests to verify that your configuration behaves as expected when applied. It is the most appr...

Author: Aria · Last updated Jun 17, 2026

You use Azure Repos to manage source code and Azure Pipelines to implement continuous integration and continuous deployment (CI/CD). You need to ensure that all comments on pull requests are resolved before the pull requests are included i...

To ensure that all comments on pull requests are resolved before the pull requests are included in a build, while minimizing administrative effort, we need a solution that automatically checks and enforces this requirement. Let's evaluate each option: A) A Custom Action - Explanation: A custom action in Azure Pipelines can be used to define specific tasks or actions to be executed during the pipeline process. While you can create a custom action to check for unresolved comments on pull requests, it would require a custom script or logic to implement, which adds complexity and increases administrative overhead. - Rejection Reason: Although a custom action could theoretically be written to check pull request comments, it would require manual configuration and could be error-prone. It’s not an automated solution for this specific requirement and would increase administrative effort. - Use Case: Custom actions are useful for implementing specific tasks in a pipeline, but they are not the ideal solution for enforcing pull request comment resolution automatically. B) A Post-Deployment Gate - Explanation: A post-deployment gate is used in the deployment pipeline to ensure that certain conditions are met after the deployment has completed. It can trigger actions like waiting for approval or checking the outcome of deployment tasks, but it is not relevant to pull requests or pre-build conditions. - Rejection Reason: Post-deployment gates apply after the deployment is completed, not before a pull request is included in a build. This would not fulfill the requirement of ensuring all pull request comments are resolved prior to the build. - Use Case: Post-deployment gates are useful for managing post-deployment checks and approvals, but not for pre-build enforcement. C) A Branc...

Author: BlazingPhoenix22 · Last updated Jun 17, 2026

DRAG DROP - You have a project in Azure DevOps named Project that has a release pipeline in Azure Pipeline named ReleaseP1. You need to ensure that when a new release is generated for ReleaseP1, a new release note document is created. The release notes must contain new features and bug fixes. Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions t...

Author: Olivia · Last updated Jun 17, 2026

You plan to create an image that will contain a .NET Core application. You have a Dockerfile file that contains the following code. (Line numbers are included for reference only.) You need to ensure that the ima...

To answer this question, I will analyze the Dockerfile's structure and consider key factors in reducing image size, such as minimizing the number of layers, using efficient base images, and cleaning up unnecessary files. Since line numbers are provided as references, I will consider them based on typical Dockerfile contents for a .NET Core application. Explanation of Key Dockerfile Lines and General Dockerfile Structure: A typical Dockerfile for a .NET Core application might look like this: ```Dockerfile 1. FROM mcr.microsoft.com/dotnet/aspnet:5.0 AS base 2. WORKDIR /app 3. EXPOSE 80 4. FROM mcr.microsoft.com/dotnet/sdk:5.0 AS build 5. WORKDIR /src 6. COPY ["MyApp/MyApp.csproj", "MyApp/"] 7. RUN dotnet restore "MyApp/MyApp.csproj" 8. COPY . . 9. RUN dotnet build "MyApp/MyApp.csproj" -c Release -o /app/build 10. RUN dotnet publish "MyApp/MyApp.csproj" -c Release -o /app/publish 11. FROM base AS final 12. WORKDIR /app 13. COPY --from=build /app/publish . 14. ENTRYPOINT ["dotnet", "MyApp.dll"] ``` Now, let's analyze the lines given in the options: Option A) Line 1: `FROM mcr.microsoft.com/dotnet/aspnet:5.0 AS base` - This line defines the base image for running the application. - The base image, `mcr.microsoft.com/dotnet/aspnet:5.0`, is an image optimized for running .NET Core applications and is much smaller than the SDK image (used for building the application). - Potential Impact on Image Size: If you use an SDK image or a larger base image here, the image will become larger. The current base image is likely optimized for runtime use. Option B) Line 3: `EXPOSE 80` - This line exposes port 80 for the application. - Impact on Image Size: This line has no effect on the size of the image. It is just a runtime...

Author: SilverBear · Last updated Jun 17, 2026

You have a project in Azure DevOps named Project1. Project1 contains a build pipeline named Pipe1 that builds an application named App1. You have an agent pool named Pool1 that contains a Windows Server 2022-based self-hosted agent. Pipe1 uses Pool1. You plan to implement another project named Project2. Project2 will have a build pipeline named Pipe2 that builds an application named App2. App1 and App2 have conflicting...

To solve the issue where App1 and App2 have conflicting dependencies, and to minimize the possibility of conflicts while reducing infrastructure costs, let's break down the options: Option A: Add another self-hosted agent - Explanation: Adding another self-hosted agent would allow Pipe1 and Pipe2 to run on separate agents, avoiding dependency conflicts by isolating the two builds. - Drawback: This solution increases infrastructure costs because you would need an additional self-hosted agent (another Windows Server 2022-based machine). Additionally, it's not necessary if we can manage the conflicts more efficiently within the same agent, particularly using containerization. - When to use: This option would be suitable if you absolutely need to keep the builds entirely separate, but it doesn't minimize infrastructure costs and is not optimal if the goal is to save on resources. Option B: Add a Docker Compose task to the build pipelines - Explanation: Docker Compose could be used to manage multiple Docker containers in the pipeline, helping to isolate environments where different dependencies are required. Each build pipeline (Pipe1 and Pipe2) could run in separate containers, ensuring that the dependencies don’t conflict. - Drawback: Docker Compose itself doesn't directly help resolve issues with conflicting dependencies unless the application is containerized. Additionally, adding Docker Compose adds complexity and might require changes in the application structure to be compatible with Docker containers. - When to use: This option would work well if your applications are Dockerized, but if the applications are not designed to run in containers, this could lead to additional work and overhead without substantial benefits. Option C: Change the self-hosted agent to use Red Hat Enterprise Linux (RHEL) 9 - Explanation...

Author: Ming88 · Last updated Jun 17, 2026

You have an Azure subscription that contains the resources shown in the following table. DepPipeline1 and ADFPipeline1 use a single credential that is stored in Vault1. You need to configure ADFPi...

To configure ADFPipeline1 to retrieve a credential from Vault1 in Azure Data Factory (ADF), we need to identify the correct activity to retrieve and use credentials stored in Azure Key Vault. Let's break down the options: Option A: Lookup - Explanation: The Lookup activity in ADF is used to retrieve data from a source, typically a dataset, such as querying a database or a file. While it retrieves data, it is not specifically designed for pulling credentials from an Azure Key Vault. - Drawback: The Lookup activity is not meant to retrieve secrets (credentials) from Azure Key Vault. It's used to retrieve and process data, not sensitive information like credentials. - When to use: You would use Lookup when you need to query a data source and retrieve data, such as from a database, but not for retrieving secrets or credentials. Option B: Get Metadata - Explanation: The Get Metadata activity retrieves metadata about a file or dataset, such as file size, last modified date, etc. This activity doesn't fetch or handle secrets or credentials. - Drawback: Like the Lookup activity, Get Metadata is not designed to interact with Azure Key Vault or fetch credentials. It is used to gather metadata about data assets, not sensitive data. - When to use: Get Metadata is used when you need to retrieve metadata information about a file, directory, or other data types, but not for fetching secrets or credentials. Option C: 0 - This option appears to be a typographical error and has no context in this scenario. Therefore, it can be disregarded. Option D: Web - Explanation: The Web activity in ADF is used for making HTTP calls to external services, such as REST APIs. While you could technically use it to i...

Author: Akash · Last updated Jun 17, 2026

DRAG DROP - You have a project in Azure DevOps named Project1 that contains two Azure DevOps pipelines named Pipeline1 and Pipeline2. You need to ensure that Pipeline1 can deploy code successfully to an Azure web app named webapp1. The solution must ensure that Pipeline2 does not have permission to webapp1. Which three actions should...

Author: Aarav2020 · Last updated Jun 17, 2026

You have an Azure web app that is deployed by using Azure Pipelines. You need to ensure that when a new version of the app is deployed to production, you can roll back to the previous version. The solution must meet the following requirements: * Mi...

To meet the requirements of minimizing downtime during the deployment and minimizing the time it takes for a rollback in an Azure Web App scenario, let's review each of the options: Option A: A single web app and two deployment slots - Explanation: Deployment slots allow you to deploy a new version of your application to a non-production slot (e.g., a staging slot) while keeping the production slot running the previous version. After testing the new version in the staging slot, you can swap the slots, promoting the new version to production. - Minimized downtime: Slot swapping in Azure Web Apps is a seamless operation that minimizes downtime during deployment. - Minimized rollback time: If the new version fails, you can quickly swap back to the previous version by swapping the slots again, which is a fast and low-downtime operation. - Advantage: This approach allows zero-downtime deployment and a quick rollback by swapping deployment slots. It directly meets both requirements (minimizing downtime and minimizing rollback time). - When to use: This is ideal for web apps in production where you need to ensure minimal impact to users during deployment and rollback. Deployment slots are a built-in feature of Azure App Services and are designed for this exact scenario. Option B: A single web app and two deployment pipelines - Explanation: This option involves using two pipelines for deploying updates. However, there is no built-in mechanism for zero-downtime deployment or quick rollback between pipelines. - Drawback: While you could potentially use deployment pipelines for different stages (e.g., production and staging), there would still be a significant amount of downtime and manual intervention required to roll back. It would not minimize downtime or allow for quick rollback. - When to use: This could be useful for more complex CI/CD scenarios, but it does not meet...

Author: Sophia · Last updated Jun 17, 2026

You have an app named App1 that you release by using Azure Pipelines. App1 has the versions shown in the following table. You complete a code change to fix a bug that was introd...

To determine the correct version number for the release, we should adhere to Semantic Versioning (SemVer), a versioning system that uses three numbers in the format MAJOR.MINOR.PATCH. Semantic Versioning Rules: 1. MAJOR version increments when there are breaking changes. 2. MINOR version increments when new features are added in a backward-compatible manner. 3. PATCH version increments when bug fixes or minor improvements are made in a backward-compatible manner. Scenario: You fixed a bug that was introduced in version 3.4.3. This means: - The fix is a bug fix (no new features or breaking changes). - This fix will be a patch update. Let's evaluate the options based on these rules: A) 3.4.4 - Patch version increment: The bug fix corresponds to a patch. In this case, you are fixing a bug in version 3.4.3, and the next logical step would be 3.4.4. - Reasoning: This is the correct increment for bug fixes in a minor or major release version. B) 3.4.8 - Patch version increment: This version would indicate that several other bug fixes...

Author: Stella · Last updated Jun 17, 2026

You are automating the testing process for your company. You need to automate UI testing of a web ap...

To automate UI testing of a web application, we need to choose a framework that supports testing web interfaces in a browser and provides tools for interacting with elements, simulating user actions, and validating UI behavior. Let's evaluate the options: A) JaCoco - Description: JaCoco is a code coverage library for Java applications. It provides information about the percentage of code executed during tests. - Reasoning: JaCoco is not a UI testing framework. It is focused on code coverage, not automating browser or web UI testing. - Use case: Typically used for Java-based unit tests to analyze code coverage, not suitable for automating UI tests. - Conclusion: Not suitable for UI testing of web applications. B) Playwright - Description: Playwright is a powerful and modern framework for automating browser-based applications. It supports multiple browsers (Chromium, Firefox, and WebKit) and allows for the automation of UI testing by interacting with web elements, handling navigation, filling out forms, and performing other browser actions. - Reasoning: Playwright is specifically designed for automating web UI tests. It supports cross-browser testing, provides a rich API for interacting with UI elements, and is widely used for end-to-end testing of web applications. - Use case: Ideal for automating web UI tests for modern web applications. It is a strong contender for automating UI testing in web...

Author: Siddharth · Last updated Jun 17, 2026

You have a project in Azure DevOps named Project1 that references an Azure Artifacts feed named Feed1. You have a package named Package1 that has the versions shown in the following table. ...

To determine which version of Package1 will be used during the build of Project1, we need to evaluate how Azure DevOps resolves package versions from a feed, especially when multiple versions exist. The version that will be used depends on the versioning strategy set in the pipeline or the dependencies specified in the Project1 configuration. Here are the factors and considerations for resolving the correct version of Package1: Key Considerations: 1. Version Range: If the version is explicitly specified in the dependencies or pipeline configuration, Azure DevOps will resolve and use the specified version. 2. Version Resolution: Azure DevOps typically resolves versions in order of precedence. If no specific version range is given, it will use the latest stable version in the feed. 3. SemVer Compatibility: If version ranges are used (e.g., `1.x.x`, `2.x.x`), the system will choose the most appropriate version based on compatibility and version rules. 4. Exact Version: If the version of Package1 is locked to a specific one, that version will be used. Evaluating the Options: Since no additional context is provided about version ranges or specific version preferences in Project1, we need to consider which version is the latest stable release. A) 1.0.3 - Reasoning: This is an older version, and if there are newer versions of Package1 (e.g., 1.4.0, 2.0.0), 1.0.3 would generally be chosen only if explicitly specified or if no newer version is compatible with the build. - Use case: This might be selected if there is a hard dependency on this version, but generally not the preferred choice unless stated in the configuration. B) 1.4.0 - Reasoning: This is a newer version than 1.0.3, ...

Author: Zara · Last updated Jun 17, 2026

SNAPSHOT - You have an Azure subscription. You need to create a storage account by using a Bicep file. How should you complete the file? To answer, select the appropriate o...

Author: Alexander · Last updated Jun 17, 2026

DRAG DROP - You have a GitHub repository named repo1 that stores the code of an app named App1. You need deploy a workflow for repo1 by using GitHub Actions. The solution must meet the following requirements: * Scan on pushes to the main branch. * Scan on pull requests to the main branch. * Scan on pull requests to any branch that has a prefix of releases/. * Scan all the files in the subdirectories of...

Author: Ethan · Last updated Jun 17, 2026

You use Azure Pipelines to build and test code projects. You notice an increase in cycle times. You need to identify whether agent pool exhaustion is causing the issue. What are two possible ways to achieve this goal? Ea...

To determine if agent pool exhaustion is causing increased cycle times in Azure Pipelines, you need to assess how the agent pool is being utilized and if there are any issues with resources being available in the agent pool. Here are the detailed explanations for each option: Option A: Query the PipelineRun/PipelineRuns endpoint - Explanation: The `PipelineRun/PipelineRuns` endpoint provides information about the status of individual pipeline runs, including whether they are in a queue or running. While this might help identify pipeline delays, it does not provide direct insight into agent pool utilization or exhaustion. This endpoint gives information about pipeline execution, but not about agent pool resources. - Why it's not selected: It doesn't focus on agent pool usage and doesn't directly provide the data necessary to evaluate if agent pool exhaustion is a cause of increased cycle times. Option B: Query the TaskAgentPoolSizeSnapshots endpoint - Explanation: The `TaskAgentPoolSizeSnapshots` endpoint gives you information about the number of available agents in the pool over time. By querying this endpoint, you can analyze whether the number of available agents in the pool is insufficient or exhausted, which can lead to longer queue times for pipelines, increasing cycle times. - Why it's selected: This endpoint specifically addresses agent pool size over time and would give direct insight into whether the agent pool is becoming exhausted, making it a valuable tool for identifying whether agent pool exhaustion is the cause of longer cycle times. Option C: View the Pipe...

Author: John · Last updated Jun 17, 2026

You have an Azure subscription that contains an Azure pipeline named Pipeline1 and a GitHub repository named Repo1. Repo1 contains Bicep modules. Pipeline1 deploys Azure resources by using the Bicep modules. You need to ensure that...

To ensure that all releases in Azure Pipeline 1 (Pipeline1) comply with Azure Policy before they are deployed to production, we need to choose an option that incorporates Azure Policy compliance checks during the deployment process. Below is the explanation of each option: Option A: To Pipeline1, add a step that runs a What-If deployment before the deployment step - Explanation: A "What-If" deployment simulates a deployment to predict the impact of the changes, but it doesn't directly assess Azure Policy compliance. It will allow you to preview the changes, but it does not automatically enforce Azure Policy checks during the deployment. - Why it's not selected: Although a "What-If" deployment can preview the impact of the changes, it doesn't validate compliance with Azure Policy. Azure Policy checks are not included inherently in the "What-If" analysis unless configured separately. It does not fully address the requirement to ensure compliance before deployment. Option B: Configure a deployment gate for Pipeline1 that uses Azure Automation to run a What-If deployment - Explanation: A deployment gate that uses Azure Automation to run a "What-If" deployment is a better option. This can be configured to run as a part of the pipeline before the actual deployment happens, allowing you to simulate the deployment and assess the potential impact. However, using Azure Automation for "What-If" deployments does not directly include Azure Policy enforcement. - Why it's not selected: Although it runs a simulation, it still does not fully guarantee that the deployment complies with Azure Policy before moving to production, as it only simulates changes and does not enforce policies. Additional steps are needed to ensure Azure Policy compliance. Option C: Create an Azure DevOps build that runs on the creation of a pu...

Author: Aditya · Last updated Jun 17, 2026

DRAG DROP - You use Semantic Versioning (SemVer) as a dependency versioning strategy. You perform changes to code as shown in the following table. Which part of the version should you increment for each change? To answer, drag the appropriate parts to the correct changes. Each part may be used once, more than once, ...

Author: Olivia Johnson · Last updated Jun 17, 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 have an Azure pipeline that is used to deploy a web app. The pipeline includes a test suite named TestSuite1. TestSuite1 is used to validate the operations of the web app. TestSuite1 fail...

Explanation Flaky tests are tests that fail intermittently, often due to factors like network issues, timing problems, or other non-deterministic elements that are outside of the application or code changes themselves. In this scenario, TestSuite1 fails intermittently but the failures are unrelated to changes in the source code or execution environment, indicating that the issues could be due to flaky tests. The solution proposed here is enabling flaky test management. Option A: Yes - Explanation: Enabling flaky test management helps in identifying and managing flaky tests. This approach can track and flag tests that are unreliable and allow for better handling of such tests in the pipeline. It helps minimize troubleshooting effort because it makes it easier to identify which tests are prone to intermittent failures and whether they should be retried or ignored. This directly addresses the issue of minimizing troubleshooting effort for intermittent test failures. - Why it's selected: This solution is effective in the scen...

Author: NebulaEagle11 · Last updated Jun 17, 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 have an Azure pipeline that is used to deploy a web app. The pipeline includes a test suite named TestSuite1. TestSuite1 is used to validate the operations of the web app. TestSuite1 fails interm...

Explanation In this scenario, TestSuite1 fails intermittently, and the failures are unrelated to changes in the source code or execution environment. The goal is to minimize the troubleshooting effort for these intermittent test failures. The Test Results Trend widget is a feature in Azure DevOps that provides insights into the trend of test results over time. It can show if the test results are improving or worsening, and it can help track test performance and overall stability in the pipeline. However, this widget does not specifically address minimizing the troubleshooting of flaky tests (intermittent test failures) themselves. Option A: Yes - Explanation: The Test Results Trend widget provides visibility into the overall trend of test results over time, which could be helpful in identifying patterns of failures and understanding if the number of failures is increasing or decreasing. While it gives a high-level view of the health of your tests, it does not directly address intermittent failures (flaky tests) and does not have specific capabilities for minimizing troubleshooting effort related to flaky tests. - Why it's rejected: The Test Results Trend widget does not actively minimize troublesh...

Author: Aditya · Last updated Jun 17, 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 have an Azure pipeline that is used to deploy a web app. The pipeline includes a test suite named TestSuite1. TestSuite1 is used to validate the operations of the web app. TestSuite1 fails in...

To evaluate the solution, let's first understand the concept of Test Impact Analysis (TIA). Test Impact Analysis is a feature in Azure Pipelines that identifies which tests need to be run based on changes made to the code. It helps optimize the testing process by running only relevant tests after a change has been made, rather than running the entire suite of tests. In the scenario provided: - TestSuite1 is failing intermittently, and these failures are not related to the changes in the source code or the execution environment. - The goal is to minimize troubleshooting effort for TestSuite1 failures. Analyzing the options: 1. Test Impact Analysis (TIA) focuses on optimizing the testing process by only running tests that are impacted by recent code changes. However, the problem you're facing is intermittent failures unrelated to code changes. TIA wouldn't directly address this issue because TIA is not designed to diagnose or resolve test failures that happen without changes in the sourc...

Author: Mia · Last updated Jun 17, 2026

You plan to publish build artifacts by using an Azure pipeline. You need to create an .artifactignore file that meets the following requirements: * Includes all files in the build output folder and all subfo...

The goal is to create an `.artifactignore` file that: 1. Includes all files in the build output folder and all subfolders. 2. Excludes files with the `.dll` extension. Let's break down each of the options in the context of the problem. A) `. /!.dll` - The syntax `!.dll` is not valid in an `.artifactignore` file. The `!` symbol is generally used to negate a pattern, but this pattern is incorrectly formatted. - The pattern `/` means "any files or directories at any depth" which is correct for including files in the build output folder and subfolders. - The `!.dll` portion is trying to exclude `.dll` files, but it's incorrectly formatted. This option is incorrect. B) `/!.dll` - The `/` part of the pattern means it includes files at any depth within subfolders, which is correct. - The `!.dll` is meant to negate (exclude) `.dll` files, but the `!` should be placed before the pattern to exclude files, not after. - This option has the correct intention but is not formatted properly. This pattern would likely fail because of the misplaced `!`. This option is incorrect. C) `/.dll` - This pattern `/....

Author: Madison · Last updated Jun 17, 2026

SNAPSHOT - You have a GitHub repository. You plan to use the repository to create a container. You need to configure GitHub Actions to deploy the container to GitHub Container Registry. How should you complete the script? To answe...

Author: Julian · Last updated Jun 17, 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 have an Azure pipeline that is used to deploy a web app. The pipeline includes a test suite named TestSuite1. TestSuite1 is used to validate the operations of the web app. TestSuite1 ...

Let's break down the scenario and analyze whether increasing code coverage is a valid solution to minimize troubleshooting effort for the intermittent failures of TestSuite1. Key points in the scenario: - TestSuite1 is failing intermittently, and these failures are unrelated to changes in the source code and execution environment. - The goal is to minimize troubleshooting effort for these failures. Analyzing the solution: - Increasing code coverage typically means adding more test cases to ensure that the code is thoroughly tested. It is intended to identify areas of the codebase that are not well-tested and to improve confidence in the quality of the application by increasing the scope of tests. - However, increasing code coverage doesn't necessarily help with intermittent failures. The problem here is that the test failures are happening intermittently, and they are unrelated to code changes. This suggests that the failures might be caused by issues like: - Test flakiness (unstable tests) - Environm...

Author: Ella · Last updated Jun 17, 2026

You have an Azure pipeline that is used to build and deploy an app named App1. The build job uses a Microsoft-hosted Windows agent. The build job for App1 intermittently returns a timeout error. You need to ensure that the build...

Let's analyze each option in the context of the problem: Problem: - The build job for App1 intermittently returns a timeout error. - You need to ensure the build job completes successfully while minimizing administrative effort. - The build job uses a Microsoft-hosted Windows agent. Solution Analysis: A) Change the configuration of the build agent - Changing the configuration of the Microsoft-hosted Windows agent might provide some flexibility, such as modifying environment variables or adjusting timeouts. However, Microsoft-hosted agents are managed by Azure DevOps, and there is limited ability to change the agent's configuration. Additionally, adjusting configuration may not be the root cause of the timeout errors. - This option may not directly address the intermittent timeout issue and does not necessarily minimize administrative effort. This option is rejected. B) Deploy a self-hosted agent - A self-hosted agent is an agent that you manage and control. While self-hosted agents give you full control over the environment, they require administrative effort to set up, maintain, and manage. - Since the goal is to minimize administrative effort, deploying a self-hosted agent introduces more overhead. Additionally, it might not fix the intermittent timeout issues if the cause is related to the cloud environment or resource allocation. This option is rejected. C) Change to a Microsoft-hosted Linux agent - Switching to a Microsoft-hosted Linux agent could potentially resolve the issue if the timeout errors are related to Windows-specific configurations or resources, but it’s unlikely to be the root cause. The timeout could be related to network issues, insufficient resource all...

Author: Sofia · Last updated Jun 17, 2026

You have an Azure subscription that contains an Azure Pipelines pipeline named Pipeline1 and a user named User1. Pipeline1 is used to build and test an app named App1. User1 is assigned the Contributors role for Pipeline1. You plan to test App1 by using an Azure Deployment Environments environment. You need to ensure t...

To ensure User1 can provision the Azure Deployment Environments environment while following the principle of least privilege, let's evaluate the options and select the most appropriate role. Role Evaluation: 1. A) DevCenter Project Admin - This role allows full access to manage all aspects of an Azure DevCenter project, including creating and configuring environments, managing users, and more. However, this role grants more permissions than are required for provisioning an environment. The principle of least privilege suggests that User1 should only have the permissions necessary to complete the task, so this role is more permissive than needed. 2. B) Deployment Environments User - This role is specifically designed for users who need to interact with Azure Deployment Environments, including provisioning environments. It is tailored to the task of managing environments while adhering to the principle of least privilege. This role is ideal for allowing User1 to provision environments without over-privileging them with additional permissions. 3. C) ...

Author: Harper · Last updated Jun 17, 2026

SNAPSHOT - You have an Azure subscription that contains Azure DevOps build pipelines. You need to implement pipeline caching by using the cache task. How should you complete the YAML definition? To answer, select...

Author: StarryEagle42 · Last updated Jun 17, 2026

SNAPSHOT - You have a management group that contains four Azure subscriptions. Each subscription contains four resource groups. You develop a new web app named App1. You plan to deploy an instance of App1 to each resource group. You need to create a Bicep template that will be used to deploy App1. The solution must meet the following requirements: * The name of each App1 instance must be consistent for each subscription and resource group. * The name of each Ap...

Author: GlowingTiger · Last updated Jun 17, 2026

DRAG DROP - You use an Azure pipeline to build a .NET app that has NuGet dependencies. You need to ensure that the pipeline caches required NuGet packages. How should you configure the pipeline? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or no...

Author: Ava · Last updated Jun 17, 2026

You have an Azure pipeline that is used to deploy an app named App1. You need to ensure that new versions of App1 are released only if they exceed performance baselines. The...

To ensure that new versions of App1 are released only if they exceed performance baselines while minimizing administrative effort, let's evaluate the available options: Option Evaluation: 1. A) An Azure Pipelines release artifact - Release artifacts are used in Azure Pipelines to package the output of a build, which is then deployed to different environments. However, artifacts themselves don't contain logic for enforcing performance baselines. While artifacts are necessary for the deployment process, they don't help to enforce conditions such as exceeding performance baselines before a release can proceed. Hence, this option doesn't meet the requirement. 2. B) An Azure Repos branch policy - Branch policies are applied to manage code quality and enforce specific rules such as requiring code reviews or preventing direct commits to certain branches. While branch policies can be useful for controlling code quality, they do not provide a way to enforce performance criteria or baselines on an app deployment. Therefore, this option isn't appropriate for controlling the release of versions based on performance criteria. 3. C) An Azure Monitor alert - Azure Monitor alerts are designed to notify users of certain conditions, like performance issues or resource utilization limits. However, alerts themselves are r...

Author: Isabella · Last updated Jun 17, 2026

DRAG DROP - You have an Azure subscription. You have the standards shown in the following table. You plan to use Azure Pipelines to build and release web apps. You need to recommend a solution to build the pipelines. The solution must meet the following requirements: * Ensure that all new pipelines meet the security requirements defined in Standard1. * Ensure that the first stage of all new pipelines contains the software prerequisites defined in Standard2. * Minimize administrative effort. What should you use to implement each standard? To answer...

Author: Liam · Last updated Jun 17, 2026

You have an Azure subscription. You create two Bicep templates named Template1 and Template2 that will be used to create a virtual machine and a website. You need to create a template named Templat...

To create a new template, Template3, that reuses logic from Template1 and Template2, you need to structure your templates in a way that allows the reuse of logic and resources across them. Let's analyze the options: Option Evaluation: 1. A) Outputs - Outputs in Bicep templates are used to return values after resources are created or configured, such as resource IDs or other calculated values. While outputs are useful for passing data between templates or after deployment, they do not directly facilitate the reuse of logic or resources from other templates. Therefore, outputs are not the first thing you would define if you're trying to reuse logic across templates. 2. B) Resources - Resources in Bicep define the actual Azure services or resources that are being deployed (like virtual machines, websites, etc.). However, simply defining resources does not provide a way to reuse existing templates. You would define resources in each individual template. While Template3 will likely reference resources, this doesn't directly facilitate the reuse of the logic from Template1 and Template2. 3. C) Modules ...

Author: Amira · Last updated Jun 17, 2026

You have an Azure subscription. You use Bicep templates to deploy websites and Azure SQL infrastructure. You need to automate the deployments by using Azure Pipelines and a self-hosted agent that runs on two vir...

To automate deployments with Azure Pipelines and a self-hosted agent on two virtual machines, the first step involves ensuring that the necessary identity for accessing Azure resources is configured. Let’s evaluate the options based on minimizing administrative effort and ensuring the solution is scalable. Option Evaluation: 1. A) Create a service principal - A service principal is an identity created for applications to interact with Azure resources. While this is commonly used for automated deployments and can be assigned to Azure Pipelines, it requires manual management of credentials (client ID, secret, etc.). For a solution that minimizes administrative effort, using a service principal can be more complex than using managed identities, as it requires maintaining secrets securely. Therefore, this is not the optimal first step when focusing on reducing administrative overhead. 2. B) Create an Azure Automation account - Azure Automation accounts are used for automating processes like patch management, process automation, or runbooks. However, while Azure Automation can help with automation tasks, it's not directly related to Azure Pipelines or managing identities for deployments. This option doesn't align with the goal of automating deployments using Azure Pipelines, especially on self-hosted agents. It’s not the correct approach for this specific scenario. 3. C) Create a user-assigned managed identity - A user-assigned managed identity can be used to provi...

Author: RadiantJaguar56 · Last updated Jun 17, 2026

SNAPSHOT - You have an Azure subscription that contains a user named User1. You have an Azure Resource Manager (ARM) template named Template1. You plan to perform the following actions: * Deploy an Azure key vault named KV1. * Deploy Azure resources by using Template1 to retrieve secrets from KV1. You need to ensure that User1 can deploy Template1. The solution must follow the principle of least privilege. Which permission should...

Author: Ava · Last updated Jun 17, 2026

DRAG DROP - You have an Azure subscription that contains an Azure Traffic Manager profile named ATM1 and a web app named App1. ATM1 manages App1 traffic. ATM1 is configured to route callers to the endpoint that has the lowest latency. You need to configure ATM1 to route all traffic from Asia to an endpoint in Australia. Which three actions should you perfor...

Author: Aria · Last updated Jun 17, 2026

You plan to deploy a solution that will include multiple microservices. You need to recommend a deployment strategy for the microservices. The solution must meet the following requirements: * Enable users to test new features by using a specific URL. * Minimize the effort required to promote a test version t...

To address the given requirements, let's analyze each deployment strategy and evaluate its suitability: Key Requirements: 1. Enable users to test new features using a specific URL – This requires a way to route users to new versions or features for testing. 2. Minimize the effort required to promote a test version to production – This means a seamless transition from testing to production. 3. Minimize the effort required to revert production code to the previous version – Quick rollback of changes if the test version fails. Option Analysis: A) A/B Testing - Explanation: A/B testing involves splitting the user base into two (or more) groups and directing them to different versions of the application (e.g., version A or version B). This is generally used for testing user experiences or feature variations. - Pros: - Allows testing specific features via a URL. - Users can be routed to different versions (A or B). - Cons: - It doesn’t focus on minimizing the effort of promoting or reverting code versions; A/B tests usually require ongoing analysis, and rolling back an entire test version could be more complex. - Managing test versions to production can be cumbersome. Use Case: A/B testing is useful when the goal is to test different features or user interfaces but doesn’t directly address the need to promote or revert versions in a production environment. B) Feature Toggle - Explanation: Feature toggles (also known as feature flags) allow features to be turned on or off without deploying new code. A new feature can be deployed in the background and then activated for specific users or environments. - Pros: - New features can be tested with specific users via URLs. - You can easily toggle features on or off for specific users or environments. - It allows for quick promotion to production as the code is already there. - It provides the ability to easily revert features by simply turning off the flag. - Cons: - It introduces complexity in managing flags, especially in large applications. Use Case: Feature toggles are great for controlled feature rollouts and testing. However, they require careful management, especially when there are many toggles across services. C) Progre...

Author: Lucas · Last updated Jun 17, 2026

You manage a project by using Azure Boards. You manage the project code by using GitHub. You have three work items that have IDs of 456, 457, and 458. You need to create a pull request that will be linked to all the work items. T...

To solve this, let's evaluate each option to understand which one meets the requirements: Key Requirements: 1. Create a pull request and link it to the work items with IDs 456, 457, and 458. 2. Set the state of work item 456 to "done." GitHub Work Item Linking GitHub provides a way to link issues and work items to commits or pull requests by including specific keywords in the commit message. These keywords are usually Fixes, Closes, Resolves, etc. Additionally, work item references are typically in the format `<ID>`. Option Analysis: A) Done 456, 457, 458 - Explanation: This commit message includes the keyword "Done" and refers to the work item IDs. However, the keyword "Done" is not a recognized keyword in GitHub for automatically changing the state of work items. It simply references the work items, but does not trigger any state changes. - Pros: It references the work items. - Cons: It does not trigger any action on the state of work items like closing or setting them to "done." B) Fixes 456, 457, 458 - Explanation: The keyword "Fixes" is a recognized keyword in GitHub. When a pull request is merged with a commit message that includes "Fixes <work item ID>", GitHub will automatically close the referenced work item. This is the correct keyword to set work item 456 (or any referenced issue) to "done." - Pros: Automatically links the work items and sets their status to closed (or done in the context of Azure Boar...

Author: MoonlitPantherX · Last updated Jun 17, 2026

You plan to deploy a solution that will include multiple microservices. You need to recommend a deployment strategy for the microservices. The solution must meet the following requirements: * Enable testing and monitoring of changes during a gradual roll...

To meet the given requirements of enabling testing and monitoring of changes during a gradual rollout and controlling the number of users who receive new code releases, let's evaluate each deployment strategy: Key Requirements: 1. Enable testing and monitoring of changes during a gradual rollout — The deployment strategy should allow for incremental exposure to the new version so that the impact can be monitored, and any issues can be detected early. 2. Control the number of users that will receive new code releases — This means controlling the scope of the rollout to ensure only a specific subset of users gets the new code initially, and it can be expanded gradually. Option Analysis: A) Progressive Exposure - Explanation: Progressive exposure is a strategy that allows you to gradually roll out new changes to a small percentage of users and incrementally increase the number of users receiving the changes. This provides the flexibility to monitor how the system behaves with each new group of users and allows for easy rollback if any issues are detected. - Pros: - It perfectly supports gradual rollouts and controlled exposure. - It allows for continuous monitoring and testing as more users are gradually exposed to the new version. - It provides a way to control the number of users who receive the new release. - Cons: - It requires a more complex infrastructure to manage the gradual exposure and monitor the results. Use Case: Progressive exposure is highly suited for scenarios where you want to test new features in a controlled manner and monitor their behavior before rolling them out to the entire user base. B) A/B Testing - Explanation: A/B testing involves dividing users into groups (A and B) where each group gets a different version of the application. This is generally used to compare different versions of a feature to see which performs better. - Pros: - It allows testing of different versions. - Can be used to control which users see which features. - Cons: - A/B testing is often used for comparing features, rather than for full-feature rollouts. - It doesn’t provide a way to gradually roll out a single version of the code or control the number of users receiving the new release. A/B testing is more about user experience optimization, not code promotion. Use Case: A/B testing is good for comparing user interactions with different variations of features but doe...

Author: MysticJaguar44 · Last updated Jun 17, 2026

SNAPSHOT - You have an Azure Pipelines pipeline named Pipeline1 that has the following YAML definition. For each of the following statements, select Yes if True...

Author: BlazingPhoenix22 · Last updated Jun 17, 2026

You use Azure Pipelines to build and test code. You need to analyze the agent pool usage. What are two ways to achieve the goal? Each correct answer presents a...

To analyze agent pool usage in Azure Pipelines, it's crucial to monitor how agents are utilized, their duration, and their activity within the pipeline runs. Let's go through each option to see which ones are suitable for this purpose: Option Analysis: A) Review the historical graph for the agent pools - Explanation: The historical graph for agent pools provides insights into how agents are being utilized over time. It shows the trends of agent pool usage, including when agents were active and for how long. This is a direct method to analyze agent pool usage. - Pros: This is a great built-in feature of Azure Pipelines, where you can track the historical usage and performance of your agent pools, helping you identify trends, peak usage times, and overall efficiency. - Cons: The historical graph is visual and doesn't provide raw data for detailed querying or programmatic analysis. However, it is still an excellent tool for understanding usage patterns. Use Case: This option is directly relevant because it allows you to view trends in agent pool usage over time, making it suitable for the goal of analyzing agent pool usage. B) Review the Pipeline duration report - Explanation: The Pipeline duration report focuses on the time it takes to execute pipelines. While it does provide information about pipeline run times and efficiency, it doesn't provide a clear view of the usage of agent pools (e.g., how many agents were used, or their individual utilization rates). - Pros: It gives you pipeline execution time and performance data. - Cons: It doesn’t give detailed insight into agent pool usage specifically. It can help you gauge pipeline performance, but it doesn't address the direct question of agent pool usage. Use Case: This is useful for performance analysis but not for directly analyzing agent pool usage, so it's not the best fit for this specific requirement. C) Query the TaskAgentPoolSizeSnapshot/TaskAgentPoolSizeSnapshots endpoint - Explanati...

Author: Liam · Last updated Jun 17, 2026