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Microsoft GH-600 Exam Syllabus Topics:

SectionWeightObjectives
Orchestrate multi-agent coordination15–20%- Failure handling and recovery
  • 1. Implement rollback and recovery patterns
    • 2. Detect stalled or degraded agents
      - Multi-agent workflows
      • 1. Resolve conflicts and overlaps
        • 2. Coordinate parallel agent execution
          - Observability and auditability
          • 1. Document agent handoffs and decisions
            • 2. Generate logs and artifacts for review
              - Lifecycle management
              • 1. Add/replace/retire agents safely
                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. Retries and rollback strategies
                      • 2. Escalation paths and traceability
                        - Development environment integration
                        • 1. Enable CI-based agent execution
                          • 2. Scope agents to repositories or branches
                            • 3. Enable autonomous actions (PRs, branches)
                              - Agent tool configuration
                              • 1. Select and configure tools
                                • 2. Configure tool permissions and scope
                                  Manage memory, state, and execution10–15%- 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
                                          - Cross-tool continuity
                                          • 1. Prevent stale or conflicting context
                                            • 2. Share state across tools and environments
                                              Prepare agent architecture and SDLC processes15–20%- Integrate agents into SDLC workflows
                                              • 1. Define inputs, outputs, and success criteria
                                                • 2. Define agent steps in SDLC
                                                  • 3. Identify and mitigate agent anti-patterns
                                                    - 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. Validate structured agent plans
                                                              • 3. Separate planning and execution phases
                                                                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. Classify agent actions by risk
                                                                      • 2. Assign autonomy levels with compliance constraints
                                                                        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. Define success metrics and constraints
                                                                                  • 2. Generate automated evaluation signals

                                                                                    Microsoft GitHub Agentic AI Developer Sample Questions:

                                                                                    1. Your organization requires that any workflow file changes proposed by an autonomous agent be reviewed by a member of the security team before merging, regardless of who opened the pull request. What combination should you configure?

                                                                                    A) MCP server permissions + repository ruleset
                                                                                    B) copilot-instructions.md + required status checks
                                                                                    C) .copilotignore + agents.md
                                                                                    D) CODEOWNERS + a required branch protection rule


                                                                                    2. 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.


                                                                                    3. A team assigns an issue to the GitHub Copilot coding agent by using the following one-line description: Fix the login bug.
                                                                                    Copilot creates a pull request, but the pull request is missing changes and has an incorrect scope.
                                                                                    How should you resolve the issue?

                                                                                    A) Allocate more resources to copilot-setup-steps.yml.
                                                                                    B) Update the Model Context Protocol (MCP) server rate limits.
                                                                                    C) Enable Copilot memory.
                                                                                    D) Add a clear description of the problem to the issue.


                                                                                    4. You have multiple GitHub Copilot coding agents that run tasks concurrently.
                                                                                    You live stream the session log output and see the following.

                                                                                    What is a possible cause of the error?

                                                                                    A) a GitHub app installation policy
                                                                                    B) a Copilot firewall policy
                                                                                    C) a postToolUse hook
                                                                                    D) a preToolUse hook


                                                                                    5. Drag and Drop Question
                                                                                    You have a GitHub repository that has a GitHub Actions workflow. The workflow runs an AI agent.
                                                                                    You need to ensure that the default GITHUB_TOKEN permissions are read-only, and write access is granted to only the job that performs repository write operations. The workflow must be able to create and approve pull requests only when explicitly enabled.
                                                                                    How should you complete the workflow? 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.


                                                                                    Solutions:

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

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