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Microsoft GitHub Administrator GH-600

GH-600

Exam Code: GH-600

Exam Name: GitHub Agentic AI Developer

Updated Time: Aug 01, 2026

Q & A: 85 Questions and Answers

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Microsoft GH-600 Exam Syllabus Topics:

SectionWeightObjectives
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 tool use and environment interaction20–25%- MCP server configuration
              • 1. Add MCP servers to agents
                • 2. Configure registries and allow lists
                  - Agent tool configuration
                  • 1. Select and configure tools
                    • 2. Configure tool permissions and scope
                      - Safe execution and error handling
                      • 1. Retries and rollback strategies
                        • 2. Escalation paths and traceability
                          - Development environment integration
                          • 1. Scope agents to repositories or branches
                            • 2. Enable autonomous actions (PRs, branches)
                              • 3. Enable CI-based agent execution
                                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. Require approvals for sensitive actions
                                      • 2. Enforce least-privilege execution
                                        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
                                              - Planning vs execution boundaries
                                              • 1. Validate structured agent plans
                                                • 2. Separate planning and execution phases
                                                  • 3. Prevent execution before approval
                                                    - 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
                                                          Evaluation, error analysis, and tuning15–20%- 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
                                                                  - Failure analysis
                                                                  • 1. Analyze logs, traces, and artifacts
                                                                    • 2. Classify reasoning, tool, and context errors
                                                                      Orchestrate multi-agent coordination15–20%- Observability and auditability
                                                                      • 1. Generate logs and artifacts for review
                                                                        • 2. Document agent handoffs and decisions
                                                                          - Multi-agent workflows
                                                                          • 1. Resolve conflicts and overlaps
                                                                            • 2. Coordinate parallel agent execution
                                                                              - Lifecycle management
                                                                              • 1. Add/replace/retire agents safely
                                                                                - Failure handling and recovery
                                                                                • 1. Implement rollback and recovery patterns
                                                                                  • 2. Detect stalled or degraded agents

                                                                                    Microsoft GitHub Agentic AI Developer Sample Questions:

                                                                                    1. A developer uses the GitHub Copilot CLI in plan mode.
                                                                                    Copilot produces a plan.
                                                                                    What does Copilot do next?

                                                                                    A) begins the implementation
                                                                                    B) creates a branch named /copilot/plan in the repository
                                                                                    C) saves the plan to plan.md
                                                                                    D) opens a pull request that has the plan as a comment


                                                                                    2. 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) Store trace.json and plan.md on a network share and have later jobs retrieve them from the share.
                                                                                    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) Use dependency caching to store trace.json and plan.md.


                                                                                    3. You have a GitHub Enterprise repository that uses the GitHub Copilot coding agent and opens draft pull requests for assigned issues.
                                                                                    Evaluation results show that the agent repeatedly opens pull requests that modify .github/workflows/*.yml to bypass failing checks instead of fixing the underlying code.
                                                                                    You need to ensure that the agent fixes the underlying code instead of bypassing the failing checks.
                                                                                    What should you do?

                                                                                    A) Disable GitHub Actions workflows for pull requests created by the agent.
                                                                                    B) Update .github/copilot-instructions.md.
                                                                                    C) Create a branch ruleset.
                                                                                    D) Start the GitHub Copilot CLI by using --allow-all.


                                                                                    4. Case Study 2
                                                                                    Existing Environment
                                                                                    GitHub Environment
                                                                                    The GitHub environment contains the following:
                                                                                    - Three repositories named product-api, billing-service, and infra-terraform.
                                                                                    - Branch protection on the main branch in all repositories that requires at least one pull request review before merging
                                                                                    - GitHub Actions runners used across all workflows
                                                                                    - A GitHub team named SG_Dev that contains developers
                                                                                    - A GitHub team named SG_Review that contains senior engineers and a security team
                                                                                    - A .github/copilot-instructions.md file that includes general coding conventions for all features Agent environment The product-api repository uses a GitHub Copilot coding agent named agent1 that has the following configurations:
                                                                                    - No custom agent profile is defined.
                                                                                    - A Model Context Protocol (MCP) server named MCP1 is deployed to
                                                                                    https://mcp.litwareinc.internal and provides access to internal ticketing and deployment APIs.
                                                                                    MCP1 requires an API key for authentication.
                                                                                    A second Copilot coding agent named agent2 handles changes in infra-terraform and runs in parallel with agent1 when both agents have open assigned issues.
                                                                                    Copilot memory is NOT enabled for the organization.
                                                                                    Problem Statements
                                                                                    Litware identifies the following issues:
                                                                                    - During two recent sessions, agent1 accessed files in billing-service, which is outside the agent's intended scope.
                                                                                    - agent1 makes code changes immediately after receiving a task.
                                                                                    - A developer named Ben, who is on the SG_Dev team, reports that agent1 completed a session with a successful status and opened a pull request, but the pull request contains no file changes.
                                                                                    Other developers report this intermittently as well.
                                                                                    - Both agent1 and agent2 modified shared/config.yaml in a parallel test run, generating conflicting outputs.
                                                                                    agent1 consistently uses raw try-catch blocks for error handling, which violates the defined implementation guidelines of SG_Dev.
                                                                                    Requirements
                                                                                    Planned Changes
                                                                                    Litware plans to make the following changes:
                                                                                    - Ensure that agent1 can access all the tools in the environment.
                                                                                    - Provide product-api with specific instructions to agent1 without affecting Copilot Chat or Copilot code review.
                                                                                    - Configure MCP1 as a tool for agent1 by modifying the product-api repository MCP configuration.
                                                                                    - Ensure that Copilot retains details that it has learned and uses that knowledge for future work.
                                                                                    This must be applied to all licensed members of the organization.
                                                                                    Implementation guidelines
                                                                                    The development team at Litware identifies the following implementation guidelines:
                                                                                    - Agent workflows must be able to run in parallel.
                                                                                    - Application error handling must use the repository ErrorHandler class.
                                                                                    - agent1 and agent2 must run on isolated branches during parallel execution. File-level conflicts must be detected before merges, and both agents must be able to run concurrently.
                                                                                    Security requirements
                                                                                    Litware identifies the following security requirements:
                                                                                    - Only the members of SG_Review must be able to approve agent1 plan outputs.
                                                                                    - All API keys must be stored and accessed securely.
                                                                                    - The developers must NOT be able to self-approve.
                                                                                    Agent configuration

                                                                                    You need to troubleshoot the issue reported by Ben.
                                                                                    What should you review?

                                                                                    A) the GitHub Actions runner log for the session job
                                                                                    B) the agent session log in the Agents panel
                                                                                    C) the GitHub Actions usage metrics of repo1
                                                                                    D) the GITHUB_TOKEN permissions block in the agent1 workflow


                                                                                    5. Hotspot Question
                                                                                    You have a GitHub Enterprise organization that uses GitHub Copilot.
                                                                                    You discover that GitHub Copilot Chat responses in Microsoft Visual Studio Code are influenced by earlier, unrelated troubleshooting prompts from the same conversation.
                                                                                    You need to ensure that the Copilot Chat conversation context is limited to information relevant to the current work item. The solution must minimize effort.
                                                                                    What should you do? To answer, select the appropriate options in the answer area.
                                                                                    NOTE: Each correct selection is worth one point.


                                                                                    Solutions:

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

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