Microsoft GH-600 Q&A - in .pdf

  • GH-600 pdf
  • Exam Code: GH-600
  • Exam Name: GitHub Agentic AI Developer
  • Updated: Aug 09, 2026
  • Q & A: 85 Questions and Answers
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GH-600 Practice Dumps

Microsoft GH-600 Exam Syllabus Topics:

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

                                                                                    Microsoft GitHub Agentic AI Developer Sample Questions:

                                                                                    1. You want the Copilot coding agent to scan a large codebase and propose a full, human- reviewable step-by-step plan before writing any code. What should you do first?

                                                                                    A) Enable --allow-all
                                                                                    B) Run /compact
                                                                                    C) Configure an MCP server
                                                                                    D) Switch to plan mode


                                                                                    2. A pull request created by the Copilot coding agent needs to be automatically closed if it fails to pass required checks after three retry attempts, per your organization's governance policy. What should you configure?

                                                                                    A) .copilotignore
                                                                                    B) A repository ruleset with agent-specific merge conditions and CI enforcement
                                                                                    C) agents.md
                                                                                    D) /compact


                                                                                    3. You have a GitHub repository that contains an agent named Orchestrator.Orchestrator delegates work to the following specialized subagents:
                                                                                    - Planner reviews issues and creates a plan of action.
                                                                                    - Implementer writes code based on the plan of action.
                                                                                    - Reviewer reviews the code.
                                                                                    You create a new agent named Summarizer that produces a concise summary of the work performed by the other agents.
                                                                                    You need to ensure that Orchestrator can invoke Summarizer as part of its workflow.
                                                                                    What should you do?

                                                                                    A) In the YAML frontmatter of the Reviewer agent, add Summarizer to the agents list.
                                                                                    B) In the YAML frontmatter of the Orchestrator agent, add Summarizer to the tools list.
                                                                                    C) In the YAML frontmatter of the Reviewer agent, add a handoffs entry that points to the Summarizer agent.
                                                                                    D) In the YAML frontmatter of the Orchestrator agent, add Summarizer to the agents list.


                                                                                    4. Hotspot Question
                                                                                    Your company uses GitHub Copilot custom agents in Microsoft Visual Studio Code.
                                                                                    The company also uses the Copilot coding agent on GitHub issues.
                                                                                    You have a file named .planner.agent.md that defines an agent named planner.planner has tools set to ['search', 'read', 'fetch']. There are explicit instructions NOT to write or modify any code. The file also defines a handoff labeled Start Implementation to an agent named implementer and sets send to false.
                                                                                    Developers report that after the planner agent produces a plan, implementation sometimes starts immediately in the same conversation, and code changes appear without an explicit agent switch.
                                                                                    When Copilot-created pull requests stall, maintainers review the pull request timeline and session logs. Several stalled sessions show outbound network commands blocked by a firewall, and the repositories do NOT contain a .github/copilot-instructions.md file.
                                                                                    For each of the following statements, select Yes if the statement is true. Otherwise, select No.
                                                                                    NOTE: Each correct selection is worth one point.


                                                                                    5. You are running the GitHub Copilot CLI and want the agent to execute file edits and shell commands without prompting for confirmation on each individual action, during a trusted throwaway sandbox session. Which flag/command should you use?

                                                                                    A) --allow-all
                                                                                    B) /context
                                                                                    C) --agent=Task
                                                                                    D) /compact


                                                                                    Solutions:

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

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