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Microsoft GH-600 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Integrate tools, data, and services | 25% | - Connect data sources and knowledge bases
|
| Implement agents and multi-agent systems | 30% | - Build agents with Azure AI tools and frameworks
|
| Test, deploy, and monitor agentic AI systems | 20% | - Deploy and monitor agents at scale
|
| Design agentic AI solutions | 25% | - Design agent architecture
|
Microsoft Developing in Agentic AI Systems Sample Questions:
Question #1
You want to prevent GitHub Copilot from ever suggesting completions or making edits inside a directory containing sensitive credentials templates. What should you configure?
A. A CODEOWNERS file
B. Branch protection rules
C. A .copilotignore file
D. A repository ruleset
Question #2
You have a GitHub repository that uses GitHub Actions for CI.
Your team is piloting the GitHub Copilot coding agent to autonomously create branches and open pull requests. The repository follows trunk-based development that uses main as the default branch.
You need to ensure that the agent meets the following requirements:
Changes to main can occur only by using pull requests that have at least one approval.
When a pull request is opened, a validation workflow runs.
How should you configure the repository? To answer, select the appropriate options in the answer area.
Question #3
You are running a long GitHub Copilot CLI session. The session has been running for several hours, and you have made significant progress on a multi-file implementation.
Suddenly, you see the Compaction completed message appear without running a command.
What caused the compaction to occur?
A. The session exceeded the maximum allowed duration.
B. The conversation approached 95 percent of the context-window capacity.
C. The session state file reached the maximum file size.
D. The agent automatically switched to a model that has a larger context window.
Question #4
You have a GitHub Actions workflow that runs GitHub Copilot-driven integration tests across multiple jobs.
You need to persist the agent memory/state so that it remains available across the jobs.
What should you do?
A. Add the agent state directory to the repository and commit the changes at the end of each job.
B. Use the runner's memory to retain the workspace between jobs.
C. Write the agent state to environment variables.
D. Upload the agent state as a workflow artifact and download the artifact in subsequent jobs.
Question #5
You have a GitHub Enterprise repository.
An agent opens pull requests to the main branch.
You need to ensure that changes to .github/workflows/* and /infra/* require approval from designated reviewers before merge.
What should you configure?
A. a ruleset and an agents.md file
B. a branch protection rule and copilot-instructions.md
C. a branch protection rule and a CODEOWNERS file
D. a ruleset and a .copilotignore file
Solutions:
| Question #1 Correct Answer: C | Question #2 Correct Answer: Only visible for members | Question #3 Correct Answer: B | Question #4 Correct Answer: D | Question #5 Correct Answer: C |



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