Microsoft GH-600 : GitHub Agentic AI Developer

  • Exam Code: GH-600
  • Exam Name: GitHub Agentic AI Developer
  • Updated: Sep 12, 2026
  • Q & A: 111 Questions and Answers

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Microsoft GH-600 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Prepare agent architecture and SDLC processes15–20%- Integrate agents into SDLC workflows
  • 1. Define inputs, outputs, and success criteria
    • 2. Identify and mitigate agent anti-patterns
      • 3. Define agent steps in SDLC
        - Observability and control
        • 1. Define autonomy levels and guardrails
          • 2. Produce inspectable artifacts in GitHub
            • 3. Enable human-in-the-loop controls
              - Planning vs execution boundaries
              • 1. Prevent execution before approval
                • 2. Separate planning and execution phases
                  • 3. Validate structured agent plans
                    Topic 2: Implement guardrails and accountability10–15%- Autonomy and risk levels
                    • 1. Assign autonomy levels with compliance constraints
                      • 2. Classify agent actions by risk
                        - Guardrails and human-in-the-loop
                        • 1. Require approvals for sensitive actions
                          • 2. Enforce least-privilege execution
                            Topic 3: Orchestrate multi-agent coordination15–20%- Multi-agent workflows
                            • 1. Coordinate parallel agent execution
                              • 2. Resolve conflicts and overlaps
                                - Observability and auditability
                                • 1. Generate logs and artifacts for review
                                  • 2. Document agent handoffs and decisions
                                    - Lifecycle management
                                    • 1. Add/replace/retire agents safely
                                      - Failure handling and recovery
                                      • 1. Detect stalled or degraded agents
                                        • 2. Implement rollback and recovery patterns
                                          Topic 4: Implement tool use and environment interaction20–25%- MCP server configuration
                                          • 1. Add MCP servers to agents
                                            • 2. Configure registries and allow lists
                                              - Safe execution and error handling
                                              • 1. Escalation paths and traceability
                                                • 2. Retries and rollback strategies
                                                  - Development environment integration
                                                  • 1. Scope agents to repositories or branches
                                                    • 2. Enable CI-based agent execution
                                                      • 3. Enable autonomous actions (PRs, branches)
                                                        - Agent tool configuration
                                                        • 1. Select and configure tools
                                                          • 2. Configure tool permissions and scope
                                                            Topic 5: Manage memory, state, and execution10–15%- Agent memory strategies
                                                            • 1. Memory scoping and expiration rules
                                                              • 2. Short-term vs long-term memory selection
                                                                - Cross-tool continuity
                                                                • 1. Prevent stale or conflicting context
                                                                  • 2. Share state across tools and environments
                                                                    - State persistence and drift control
                                                                    • 1. Detect and correct context drift
                                                                      • 2. Persist task progress as artifacts
                                                                        Topic 6: Evaluation, error analysis, and tuning15–20%- Define evaluation criteria
                                                                        • 1. Generate automated evaluation signals
                                                                          • 2. Define success metrics and constraints
                                                                            - Tuning agent behavior
                                                                            • 1. Optimize memory usage and constraints
                                                                              • 2. Refine prompts, tools, and workflows
                                                                                - Failure analysis
                                                                                • 1. Analyze logs, traces, and artifacts
                                                                                  • 2. Classify reasoning, tool, and context errors

                                                                                    Microsoft GitHub Agentic AI Developer Sample Questions:

                                                                                    Question #1

                                                                                    A developer uses the GitHub Copilot CLI in plan mode.
                                                                                    Copilot produces a plan.
                                                                                    What does Copilot do next?

                                                                                    • A. Opens a pull request that has the plan as a comment.
                                                                                    • B. Saves the plan to plan.md.
                                                                                    • C. Begins the implementation.
                                                                                    • D. Creates a branch named /copilot/plan in the repository.
                                                                                    Reveal Solution  Discussion  0

                                                                                    Correct Answer: B  🗳️

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                                                                                    Question #2

                                                                                    Before App1 is upgraded, you need to verify each individual upgrade step and whether all tests have passed.
                                                                                    Which file should you use?

                                                                                    • A. <project>/.github/plan.md
                                                                                    • B. <project>/.github/upgrades/{scenarioId}/assessment.md
                                                                                    • C. <project>/.mcp/agent.md
                                                                                    • D. <project>/.github/upgrades/{scenarioId}/tasks.md
                                                                                    Reveal Solution  Discussion  0

                                                                                    Correct Answer: D  🗳️

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                                                                                    Question #3

                                                                                    You have a GitHub repository that contains the following custom agent files:
                                                                                    A file named planner.agent.md that includes YAML frontmatter with a handoffs entry that has label: Start Implementation, agent: implementer, and prompt: Now implement the plan outlined above.
                                                                                    A file named implementer.agent.md that is in the same directory as planner.agent.md and includes YAML frontmatter that has name: IMPLEMENTER.
                                                                                    You add a third agent file named review.agent.md that includes name: code-review in the YAML frontmatter.
                                                                                    You make the following changes to planner.agent.md:
                                                                                    Update the existing handoff to include send: true and model: GPT-5.2 (copilot).
                                                                                    Add a second handoff that has label: Run Review, agent: code-review, and prompt: Review the code changes made in the previous step.

                                                                                    Reveal Solution  Discussion  0

                                                                                    Correct Answer:

                                                                                    Question #4

                                                                                    You need to make changes to repo1 to support the planned changes for the developers.
                                                                                    What should you modify?

                                                                                    • A. .github/agents/*.agent.md
                                                                                    • B. .vscode/settings.json
                                                                                    • C. .vscode/mcp.json
                                                                                    • D. <project>/.mcp/server.json
                                                                                    Reveal Solution  Discussion  0

                                                                                    Correct Answer: A  🗳️

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                                                                                    Question #5

                                                                                    You have a GitHub Enterprise repository that uses the GitHub Copilot coding agent and opens draft pull requests for assigned issues.
                                                                                    Evaluation results show that the agent repeatedly opens pull requests that modify .github/workflows/*.yml to bypass failing checks instead of fixing the underlying code.
                                                                                    You need to ensure that the agent fixes the underlying code instead of bypassing the failing checks.
                                                                                    What should you do?

                                                                                    • A. Disable GitHub Actions workflows for pull requests created by the agent.
                                                                                    • B. Create a branch ruleset.
                                                                                    • C. Update the .gitignore file.
                                                                                    • D. Start the GitHub Copilot CLI by using --allow-all.
                                                                                    Reveal Solution  Discussion  0

                                                                                    Correct Answer: B  🗳️

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