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Microsoft GH-600 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Prepare agent architecture and SDLC processes15–20%- Observability and control
  • 1. Produce inspectable artifacts in GitHub
    • 2. Enable human-in-the-loop controls
      • 3. Define autonomy levels and guardrails
        - 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
              - Planning vs execution boundaries
              • 1. Prevent execution before approval
                • 2. Validate structured agent plans
                  • 3. Separate planning and execution phases
                    Topic 2: Manage memory, state, and execution10–15%- Agent memory strategies
                    • 1. Short-term vs long-term memory selection
                      • 2. Memory scoping and expiration rules
                        - State persistence and drift control
                        • 1. Persist task progress as artifacts
                          • 2. Detect and correct context drift
                            - Cross-tool continuity
                            • 1. Prevent stale or conflicting context
                              • 2. Share state across tools and environments
                                Topic 3: 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
                                        Topic 4: Evaluation, error analysis, and tuning15–20%- Failure analysis
                                        • 1. Analyze logs, traces, and artifacts
                                          • 2. Classify reasoning, tool, and context errors
                                            - Define evaluation criteria
                                            • 1. Define success metrics and constraints
                                              • 2. Generate automated evaluation signals
                                                - Tuning agent behavior
                                                • 1. Optimize memory usage and constraints
                                                  • 2. Refine prompts, tools, and workflows
                                                    Topic 5: Orchestrate multi-agent coordination15–20%- Lifecycle management
                                                    • 1. Add/replace/retire agents safely
                                                      - 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
                                                                  Topic 6: Implement tool use and environment interaction20–25%- 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
                                                                                - Safe execution and error handling
                                                                                • 1. Escalation paths and traceability
                                                                                  • 2. Retries and rollback strategies

                                                                                    Microsoft GitHub Agentic AI Developer Sample Questions:

                                                                                    1. You assigned an issue to the Copilot coding agent, and it opened a pull request. You want to inspect exactly what code changes were made before merging. Which CLI slash command lets you view the change set directly in the terminal?

                                                                                    A) /context
                                                                                    B) /plan
                                                                                    C) /compact
                                                                                    D) /diff


                                                                                    2. 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.


                                                                                    3. You have a repository on github.com that uses the GitHub Copilot coding agent.
                                                                                    You also use the GitHub Copilot CLI locally to reproduce failures and continue the same work from your terminal.
                                                                                    You need to verify the current token usage.
                                                                                    Which Copilot CLI slash command should you run?

                                                                                    A) /context
                                                                                    B) /usage
                                                                                    C) /compact
                                                                                    D) /diff


                                                                                    4. You have a GitHub Enterprise repository that runs an autonomous agent by using a GitHub Actions workflow. The workflow has the following jobs:
                                                                                    - agent-run that generates trace.json and plan.md
                                                                                    - review that waits for human approval before continuing
                                                                                    - deploy that uses the outputs from agent-run
                                                                                    You need to make the files inspectable in the GitHub Actions UI and ensure that the files are available to the review and deploy jobs.
                                                                                    What should you do in the workflow?

                                                                                    A) Use dependency caching to store trace.json and plan.md.
                                                                                    B) Upload trace.json and plan.md as workflow artifacts in agent-run, and download the files inside the jobs.
                                                                                    C) Commit trace.json and plan.md back to the repository from agent-run.
                                                                                    D) Store trace.json and plan.md on a network share and have later jobs retrieve them from the share.


                                                                                    5. You want the GitHub Copilot coding agent to follow project-specific conventions (coding style, testing requirements, folder structure) on every task it performs in a repository. What should you create?

                                                                                    A) A CODEOWNERS file
                                                                                    B) A .copilotignore file
                                                                                    C) A agents.yml workflow file
                                                                                    D) A copilot-instructions.md file in .github/


                                                                                    Solutions:

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

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