Microsoft GH-600 : GitHub Agentic AI Developer

  • Exam Code: GH-600
  • Exam Name: GitHub Agentic AI Developer
  • Updated: Sep 06, 2026
  • Q & A: 85 Questions and Answers

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Microsoft GH-600 Exam Syllabus Topics:
SectionWeightObjectives
Evaluation, error analysis, and tuning15–20%- Define evaluation criteria
  • 1. Generate automated evaluation signals
    • 2. Define success metrics and constraints
      - Failure analysis
      • 1. Analyze logs, traces, and artifacts
        • 2. Classify reasoning, tool, and context errors
          - Tuning agent behavior
          • 1. Optimize memory usage and constraints
            • 2. Refine prompts, tools, and workflows
              Prepare agent architecture and SDLC processes15–20%- Observability and control
              • 1. Enable human-in-the-loop controls
                • 2. Produce inspectable artifacts in GitHub
                  • 3. Define autonomy levels and guardrails
                    - Planning vs execution boundaries
                    • 1. Validate structured agent plans
                      • 2. Separate planning and execution phases
                        • 3. Prevent execution before approval
                          - Integrate agents into SDLC workflows
                          • 1. Define agent steps in SDLC
                            • 2. Define inputs, outputs, and success criteria
                              • 3. Identify and mitigate agent anti-patterns
                                Orchestrate multi-agent coordination15–20%- Failure handling and recovery
                                • 1. Implement rollback and recovery patterns
                                  • 2. Detect stalled or degraded agents
                                    - Lifecycle management
                                    • 1. Add/replace/retire agents safely
                                      - 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
                                              Implement guardrails and accountability10–15%- Guardrails and human-in-the-loop
                                              • 1. Require approvals for sensitive actions
                                                • 2. Enforce least-privilege execution
                                                  - Autonomy and risk levels
                                                  • 1. Assign autonomy levels with compliance constraints
                                                    • 2. Classify agent actions by risk
                                                      Manage memory, state, and execution10–15%- Cross-tool continuity
                                                      • 1. Share state across tools and environments
                                                        • 2. Prevent stale or conflicting context
                                                          - State persistence and drift control
                                                          • 1. Persist task progress as artifacts
                                                            • 2. Detect and correct context drift
                                                              - Agent memory strategies
                                                              • 1. Short-term vs long-term memory selection
                                                                • 2. Memory scoping and expiration rules
                                                                  Implement tool use and environment interaction20–25%- Agent tool configuration
                                                                  • 1. Select and configure tools
                                                                    • 2. Configure tool permissions and scope
                                                                      - 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. Enable CI-based agent execution
                                                                                • 2. Scope agents to repositories or branches
                                                                                  • 3. Enable autonomous actions (PRs, branches)
                                                                                    Microsoft GitHub Agentic AI Developer Sample Questions:

                                                                                    Question 1

                                                                                    You are debugging an agentic workflow that intermittently fails specific tool calls with rate-limit errors when connecting to an internal MCP server. What is the most direct remediation?

                                                                                    A. Switch to --allow-all
                                                                                    B. Add a CODEOWNERS entry
                                                                                    C. Run /clear
                                                                                    D. Increase the MCP server's configured rate limits/quota


                                                                                    Question 2

                                                                                    You have a GitHub repository that uses GitHub Copilot code review on pull requests.
                                                                                    You plan to add repository-wide code review guidance that will apply to all files.
                                                                                    You need Copilot code review to consistently apply the guidance during pull request reviews.
                                                                                    What should you do?

                                                                                    A. Update the instructions in the .github/agents/*.agent.md files.
                                                                                    B. Modify the .github/pull_request_template.md file.
                                                                                    C. Create a .github/instructions/copilot.instructions.md file.
                                                                                    D. Create a .github/copilot-instructions.md file.


                                                                                    Question 3

                                                                                    Hotspot Question
                                                                                    You have a GitHub repository that uses GitHub Actions to validate pull requests opened by the GitHub Copilot coding agent. The workflow runs unit tests and a linter on pull request triggers, and Copilot opens draft pull requests on dedicated branches while iterating by using commits.
                                                                                    You discover that when multiple Copilot sessions push updates to the same pull request branch in quick succession, multiple workflow runs execute concurrently.
                                                                                    You need to enable parallel workflow executions across different pull request branches.
                                                                                    How should you configure workflow-level concurrency? To answer, select the appropriate options in the answer area.
                                                                                    NOTE: Each correct selection is worth one point.


                                                                                    Question 4

                                                                                    You have a GitHub Enterprise Cloud Organization that uses GitHub Actions for CI/CD.
                                                                                    You plan to enable an agent to update and deploy workflows that access production environment secrets.
                                                                                    You need to select an autonomy level for a compliance-sensitive workflow.
                                                                                    Which autonomy level should you select?

                                                                                    A. fully autonomous execution without approvals
                                                                                    B. autonomous execution limited to non-production environments
                                                                                    C. human-in-the-loop with required manual approvals for production
                                                                                    D. read-only analysis with no ability to trigger workflows


                                                                                    Question 5

                                                                                    An agent working through the Copilot coding agent in GitHub Actions needs additional build dependencies installed before it can run tests. Where should you define this setup?

                                                                                    A. copilot-setup-steps.yml
                                                                                    B. copilot-instructions.md
                                                                                    C. agents.md
                                                                                    D. .copilotignore


                                                                                    Solutions:

                                                                                    Question 1
                                                                                    Answer: D
                                                                                    Question 2
                                                                                    Answer: C
                                                                                    Question 3
                                                                                    Answer: Only visible for members
                                                                                    Question 4
                                                                                    Answer: C
                                                                                    Question 5
                                                                                    Answer: A

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