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Microsoft GH-600 Exam Syllabus Topics:

SectionWeightObjectives
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
              Orchestrate multi-agent coordination15–20%- Observability and auditability
              • 1. Document agent handoffs and decisions
                • 2. Generate logs and artifacts for review
                  - Lifecycle management
                  • 1. Add/replace/retire agents safely
                    - Failure handling and recovery
                    • 1. Detect stalled or degraded agents
                      • 2. Implement rollback and recovery patterns
                        - Multi-agent workflows
                        • 1. Resolve conflicts and overlaps
                          • 2. Coordinate parallel agent execution
                            Implement tool use and environment interaction20–25%- Agent tool configuration
                            • 1. Configure tool permissions and scope
                              • 2. Select and configure tools
                                - 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 autonomous actions (PRs, branches)
                                          • 2. Scope agents to repositories or branches
                                            • 3. Enable CI-based agent execution
                                              Evaluation, error analysis, and tuning15–20%- Failure analysis
                                              • 1. Classify reasoning, tool, and context errors
                                                • 2. Analyze logs, traces, and artifacts
                                                  - Tuning agent behavior
                                                  • 1. Refine prompts, tools, and workflows
                                                    • 2. Optimize memory usage and constraints
                                                      - Define evaluation criteria
                                                      • 1. Generate automated evaluation signals
                                                        • 2. Define success metrics and constraints
                                                          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. Validate structured agent plans
                                                                        • 2. Separate planning and execution phases
                                                                          • 3. Prevent execution before approval
                                                                            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. Classify agent actions by risk
                                                                                  • 2. Assign autonomy levels with compliance constraints

                                                                                    Microsoft GitHub Agentic AI Developer Sample Questions:

                                                                                    1. Hotspot Question
                                                                                    Your company uses Microsoft Visual Studio Code and GitHub Copilot Chat.
                                                                                    You have a GitHub repository that uses main as the default branch. The repository contains a workspace custom agent stored at .github/agents/release-notes.agent.md.
                                                                                    A developer switches to a branch named branch1 where the agent file does NOT exist. In the same session, the developer switches to a user profile named profile1.profile1 contains a custom agent file named release-notes.agent.md that has user-invokable set to false.
                                                                                    For each of the following statements, select Yes if the statement is true. Otherwise, select No.
                                                                                    NOTE: Each correct selection is worth one point.


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


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


                                                                                    4. You use a GitHub Actions workflow to orchestrate a multi-agent draft-review process for pull requests. The workflow uploads a single combined review-package artifact at the end of each run.
                                                                                    You discover that the review-package artifact is occasionally missing from the workflow run history, and you suspect that a user deleted it.
                                                                                    You need to identify which user manually deleted a workflow run artifact and when the deletion occurred.
                                                                                    What should you use?

                                                                                    A) the pull request description and comment history
                                                                                    B) the checks.delete_logs audit log event
                                                                                    C) the merge commit history
                                                                                    D) the artifact.destroy audit log event


                                                                                    5. You have a GitHub repository.
                                                                                    You use the GitHub Copilot CLI to run an agentic workflow from the terminal.
                                                                                    During execution, the conversation history approaches the context limit. The agent cannot continue the current session unless the amount of retained context is reduced.
                                                                                    You need to continue the current session without losing all the prior progress.
                                                                                    Which Copilot CLI slash command should you run?

                                                                                    A) /clear
                                                                                    B) /context
                                                                                    C) /compact
                                                                                    D) /yolo


                                                                                    Solutions:

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

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