Microsoft GitHub Agentic AI Developer : GH-600 valid dump

GH-600
  • Exam Code: GH-600
  • Exam Name: GitHub Agentic AI Developer
  • Updated: Aug 13, 2026
  • Q & A: 85 Questions and Answers

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Microsoft GH-600 Exam Syllabus Topics:

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

                                                                                    Microsoft GitHub Agentic AI Developer Sample Questions:

                                                                                    1. Hotspot Question
                                                                                    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, and the
                                                                                    agent can still create branches and open pull requests autonomously.
                                                                                    How should you configure the repository? To answer, select the appropriate options in the answer area.
                                                                                    NOTE: Each correct selection is worth one point.


                                                                                    2. Drag and Drop Question
                                                                                    Your team uses a remote GitHub Model Context Protocol (MCP) server for workflows in the software development life cycle (SDLC).
                                                                                    You need to commit a workspace-scoped MCP configuration to ensure that GitHub Copilot can connect to the GitHub-hosted MCP endpoint and authenticate by using a GitHub personal access token (PAT).
                                                                                    How should you complete the mcp.json configuration file? 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.


                                                                                    3. You need finer control, selecting specific files and describing precise natural-language changes to apply, rather than letting the agent decide the full scope of changes. Which Copilot Chat mode should you use?

                                                                                    A) Plan mode
                                                                                    B) Edit mode
                                                                                    C) Ask mode
                                                                                    D) Agent mode


                                                                                    4. While using agent mode in VS Code, you want Copilot to run a specific test suite as a validation step after making changes, without manually invoking the terminal each time. What feature enables this?

                                                                                    A) Tool/terminal invocation permissions in agent mode
                                                                                    B) .copilotignore
                                                                                    C) MCP server integration
                                                                                    D) CODEOWNERS


                                                                                    5. You have multiple GitHub Copilot coding agents that run tasks concurrently.
                                                                                    You are monitoring the agents from the terminal by using the GitHub CLI.
                                                                                    An agent appears stalled.
                                                                                    You need to live stream the session log output.
                                                                                    What should you do?

                                                                                    A) Run gh agent-task view and specify the --log and --jq parameters.
                                                                                    B) Run gh agent-task view and specify the --log and --follow parameters.
                                                                                    C) Run gh agent-task list and specify the --status and --jq parameters.
                                                                                    D) Run gh agent-task list and specify the --web parameter.


                                                                                    Solutions:

                                                                                    Question # 1
                                                                                    Answer: Only visible for members
                                                                                    Question # 2
                                                                                    Answer: Only visible for members
                                                                                    Question # 3
                                                                                    Answer: B
                                                                                    Question # 4
                                                                                    Answer: A
                                                                                    Question # 5
                                                                                    Answer: B

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