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Microsoft GH-600

Developing in Agentic AI Systems

Verified practice questions with detailed answers, clear explanations, and community discussion.

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Question 1 of 58

HOTSPOT -

Case study -
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.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.

To start the case study -
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. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.

Overview -
Contoso Ltd. is a software development company located in the United States.

Existing Environment -

GitHub Environment -
Contoso uses GitHub Enterprise and assigns GitHub Copilot Pro+ licenses to its developers. The developers use Microsoft Visual Studio Code as their IDE.
Contoso has a customer portal. The code for the portal is stored in a GitHub repository named repo1 that contains the following:
A custom agent named agent1 that includes instructions to review specs related to best practices
A custom instruction file named validate-instructions.md that is used to validate tone of voice and applies to all .md and .txt files
A custom instruction file named codereview.instructions.md that is used by the Copilot coding agent but is excluded for use by the Copilot code review repo1 has the following structure:
The front-end is stored in the /frontend folder.
The API logic is stored in the /api folder.
Contoso has a second repository named repo2 that contains a legacy .NET application named App1 built by using .NET 6. repo2 has a multi-agent workflow for modernization tasks.
Contoso enables the Model Context Protocol (MCP) registry and allows the Microsoft Learn MCP Server. Every developer must configure their own connection to the Learn MCP Server.

Problem Statements -
The developers working in repo1 report that the Microsoft Learn documentation is NOT being retrieved when they attempt to validate a design by using agent1.
The testing team at Contoso identifies that the customer portal uses inconsistent UI styles, which leads to customer confusion and branding issues. The UI inconsistencies stem from variations in the folder structure.

Agent Logs -
You have the following logs for the multi-agent workflow used in repo2.
Exam gh-600: Image 1

Requirements -

Planned Changes -
Contoso plans to have all agents and developers in repo1 use the Microsoft Learn MCP to ensure that reviews are validated by using the appropriate documentation. This must be implemented centrally.
Contoso plans to leverage AI-powered coding agents to implement new portal features and pages.

Technical Requirements -
App1 must be upgraded to .NET 10. A previous upgrade attempt was started by using the Copilot modernization agent, but the attempt was never finalized.
You plan to retry the upgrade. You must first analyze App1 by using AI, and then generate a report that contains breaking changes and deprecated patterns before retrying the upgrade.
All AI-generated code for UI styling must adhere to a predefined folder structure.
The architects at Contoso need help building implementation plans for repo1. The company wants to implement a new agent named agent2 to analyze the code base and the code requirements, and then respond with a detailed plan. The agent must NOT be able to edit files or run local commands.
The developers must be able to delegate work to the Copilot coding agent by assigning issues to the agent.
You need to implement agent2 to meet the technical requirements.
How should you complete the YAML configuration? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Exam gh-600: Image 2
Show answer

Suggested answer

First dropdown: 'search', Second dropdown: 'read'. The agent requires search to locate relevant code and requirements across the repository. It requires read to inspect the identified files and produce a detailed implementation plan. It must not use edit or execute because it cannot modify files or run local commands; the Microsoft Learn MCP tools provide documentation access.

Question 2 of 58

Case study -
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.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.


To start the case study -
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. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.

Overview -
Contoso Ltd. is a software development company located in the United States.

Existing Environment -

GitHub Environment -
Contoso uses GitHub Enterprise and assigns GitHub Copilot Pro+ licenses to its developers. The developers use Microsoft Visual Studio Code as their IDE.
Contoso has a customer portal. The code for the portal is stored in a GitHub repository named repo1 that contains the following:
A custom agent named agent1 that includes instructions to review specs related to best practices
A custom instruction file named validate-instructions.md that is used to validate tone of voice and applies to all .md and .txt files
A custom instruction file named codereview.instructions.md that is used by the Copilot coding agent but is excluded for use by the Copilot code review repo1 has the following structure:
The front-end is stored in the /frontend folder.
The API logic is stored in the /api folder.
Contoso has a second repository named repo2 that contains a legacy .NET application named App1 built by using .NET 6. repo2 has a multi-agent workflow for modernization tasks.
Contoso enables the Model Context Protocol (MCP) registry and allows the Microsoft Learn MCP Server. Every developer must configure their own connection to the Learn MCP Server.

Problem Statements -
The developers working in repo1 report that the Microsoft Learn documentation is NOT being retrieved when they attempt to validate a design by using agent1.
The testing team at Contoso identifies that the customer portal uses inconsistent UI styles, which leads to customer confusion and branding issues. The UI inconsistencies stem from variations in the folder structure.


Agent Logs -
You have the following logs for the multi-agent workflow used in repo2.
Exam GH-600: Image 1

Requirements -

Planned Changes -
Contoso plans to have all agents and developers in repo1 use the Microsoft Learn MCP to ensure that reviews are validated by using the appropriate documentation. This must be implemented centrally.
Contoso plans to leverage AI-powered coding agents to implement new portal features and pages.

Technical Requirements -
App1 must be upgraded to .NET 10. A previous upgrade attempt was started by using the Copilot modernization agent, but the attempt was never finalized.
You plan to retry the upgrade. You must first analyze App1 by using AI, and then generate a report that contains breaking changes and deprecated patterns before retrying the upgrade.
All AI-generated code for UI styling must adhere to a predefined folder structure.
The architects at Contoso need help building implementation plans for repo1. The company wants to implement a new agent named agent2 to analyze the code base and the code requirements, and then respond with a detailed plan. The agent must NOT be able to edit files or run local commands.
The developers must be able to delegate work to the Copilot coding agent by assigning issues to the agent.
Before App1 is upgraded, you need to verify each individual upgrade step and whether all tests have passed.
Which file should you use?
Answer choices
Show answer

Correct answer: A

assessment.md records the analysis phase of a Copilot modernization workflow, including identified upgrade steps, breaking changes, deprecated patterns, and validation results. It provides the evidence needed to review whether each transformation has completed successfully and whether associated tests pass before continuing the .NET upgrade. plan.md defines intended work, whereas the assessment file captures the findings and verification status required before retrying modernization.

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Question 3 of 58

DRAG DROP -
You have a GitHub repository that has a GitHub Actions workflow. The workflow runs an AI agent.
You need to ensure that the default GITHUB_TOKEN permissions are read-only, and write access is granted to only the job that performs repository write operations. The workflow must be able to create and approve pull requests only when explicitly enabled.
How should you complete the workflow? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Exam gh-600: Image 1
Show answer

Suggested answer

permissions: read-all; contents: write; pull-requests: write. The workflow-level read-all setting makes the default GITHUB_TOKEN permissions read-only. The update_artifacts job receives contents: write to update repository artifacts. That job also receives pull-requests: write, which explicitly enables creating and approving pull requests.

Question 4 of 58

DRAG DROP -
You have a GitHub repository that uses the GitHub Copilot coding agent to resolve issues and create draft pull requests. The repository uses GitHub Actions for CI, and reviewers rely on pull request timelines and workflow artifacts to understand what the agent did.
During long-running agent tasks, the reviewers lose track of decisions and validation steps, which causes repeated questions and reworks when context drifts between iterations.
You need to persist task progress and decisions as durable artifacts and ensure that the reviewers can verify what the agent did during and after execution by using GitHub as the system of record.
What should you do for each requirement? To answer, drag the appropriate actions to the correct requirements. Each action may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Exam gh-600: Image 1
Show answer

Suggested answer

Create durable run outputs that are downloadable after completion: Use the upload-artifact action and configure artifact retention in the CI workflow. Provide ongoing, human-reviewable task progress signals inside the pull request: Watch for pull request body updates and pull request timeline events. Provide a real-time view of agent actions for audit and troubleshooting: Select View session to stream live agent logs. Artifacts preserve CI outputs after the run, pull request updates persist progress and decisions in the repository record, and the live session exposes current agent activity during execution.

Question 5 of 58

DRAG DROP -
You have a GitHub Enterprise Cloud Organization that uses the GitHub Copilot coding agent to resolve issues asynchronously.

When an issue is assigned to GitHub Copilot, the agent creates a draft pull request, but your team cannot always tell whether the agent is actively working, has completed its session, or is awaiting workflow approval.
Which execution context does each signal indicate? To answer, drag the appropriate context to the correct signals. Each signal may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Exam gh-600: Image 1
Show answer

Suggested answer

Eyes reaction: The agent acknowledges the assignment and will create the draft pull request. Pull request timeline shows Copilot started work: The agent session is actively running and generating live logs. Draft pull request exists but GitHub Actions checks are not running: A human must manually approve and run the workflows. The eyes reaction confirms that Copilot has accepted the assignment. The timeline status indicates an active Copilot session, while absent checks on a Copilot-created pull request commonly indicate that workflow approval is required.

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Charles Sirois
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As this was my first certification exam, I was understandably nervous about what to expect. These study materials made the preparation process much easier, and many of the questions closely reflected those on the actual exam.
Lance Chambers
United States
Wasted about a month going through the free dump sites scattered all over reddit, half the answers were wrong and the other half were for a version of the exam that doesn't even exist anymore. Eventually gave in and paid the small fee here, and the difference was night and day.
Alisha Kelly
Italy
Honestly, I had already gone through the official documentation quite thoroughly, but still didn't feel fully confident going in. This helped things finally click for me. I realized I knew the material, but just hadn't connected all the pieces yet.
Casper Claassen
Netherlands
Used this along with Microsoft Learn and the combo worked really well. The practice questions made the stuff I'd read actually stick. Passed first attempt, no complaints from me.
Gabriele Ghesla
Italy
The content is accurate and clearly presented, and it's more affordable than competitors. The team has been incredibly responsive whenever I've had an issue, and they've been open to small changes that improve the platform.
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I don't usually leave reviews, but this one felt worth sharing. The questions were quite close to what actually appeared on the exam, more than I expected. I spent about a week going through the material before my test, and it helped me feel more prepared.
Remi Nuyts
United States
Passed ITIL 4 Foundation with 87%. Material was enough by itself.
Archie Hopkins
United States
I had a smooth experience from start to finish. Access was available right away, no technical issues, which made it easy to get started. The content felt relevant and aligned well with what I was looking for.
Nancy Mcbride
United States
Does what it says it does. Content felt solid, nothing confusing to navigate and I didn't run into any weird issues. I been putting off scheduling the exam for a while and going through this gave me enough confidence to finally book it and pass.
Neil Savage
United States
A very quick response was received via email when a link issue occurred. The study materials provided were high quality and extremely helpful. I was able to complete the test successfully. Many thanks for the excellent support.

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