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Microsoft GH-600 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Orchestrate multi-agent coordination | 15–20% | - Operate and manage multi-agent workflows
|
| Topic 2: Manage memory, state, and execution | 10–15% | - Persist agent state and manage context drift
|
| Topic 3: Prepare agent architecture and SDLC processes | 15–20% | - Integrate agents into the software development lifecycle (SDLC)
|
| Topic 4: Implement tool use and environment interaction | 20–25% | - Integrate agents within development environments
|
| Topic 5: Implement guardrails and accountability | 10–15% | - Define autonomy levels
|
| Topic 6: Perform evaluation, error analysis, and tuning | 15–20% | - Tune agent behavior based on evaluation results
|
Microsoft Developing in Agentic AI Systems Sample Questions:
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. Upload the agent state as a workflow artifact and download the artifact in subsequent jobs.
- B. Add the agent state directory to the repository and commit the changes at the end of each job.
- C. Use the runner's memory to retain the workspace between jobs.
- D. Write the agent state to environment variables.
Correct Answer: A 🗳️
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You have a GitHub Enterprise Cloud repository that uses GitHub Actions for CI and requires pull requests for all changes.
You are planning a GitHub Actions workflow where a coding agent drafts implementation changes and tests from GitHub issues, and an automated review runs before human review.
You need the agent to draft changes from an assigned issue, open a pull request, and add an automated review to the pull request before requesting a human review.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:

While upgrading App1, the agent identifies 47 issues, including a security vulnerability, and 46 API incompatibilities across different projects.
Which two actions are unsafe to delegate to the agent and require human involvement? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
- A. Approve all Git commits.
- B. Validate whether the tasks.md file exists.
- C. Validate the assessment.md file for accuracy.
- D. Review the plan.md file for dependencies.
- E. Generate the assessment.md file.
Correct Answer: A,C 🗳️
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You need to provide access to the API key of MCP1. The solution must meet the security requirements.
What should you do?
- A. In product-api, add the API key as a GitHub Actions encrypted secret and reference the secret by using ${{ secrets.KEY }} in the workflow YAML of agent1.
- B. Store the API key as a GitHub Codespaces user secret scoped to product-api.
- C. In the product-api repository settings, add the API key directly to the .mcp/server.json file by using a plaintext apiKey field.
- D. Store the API key as a secret in the Copilot environment of product-api by using a name prefix of COPILOT_MCP_, and then reference the variable name in the mcp.json configuration.
Correct Answer: D 🗳️
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You have a GitHub Copilot coding agent named CodeAgent. The .agent.md file of CodeAgent contains the following YAML frontmatter.
name: CodeAgent
description: Performs repository analysis and code review tasks.
tools: ['edit', 'execute', 'read', 'search']
You need to issue a GitHub Copilot CLI command that preserves execution velocity for read-only tasks by eliminating approval prompts for low-risk tools. The solution must ensure that high-risk tools that can make changes remain available but still require explicit user approval before running.
Which command should you run?
- A. copilot agent run CodeAgent --allow-all-tools
- B. copilot agent run CodeAgent --allow-tool 'read,search'
- C. copilot agent run CodeAgent --deny-tool 'edit,execute'
- D. copilot agent run CodeAgent
Correct Answer: B 🗳️
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