Microsoft GH-600 Q&A - in .pdf

  • Exam Code: GH-600
  • Exam Name: GitHub Agentic AI Developer
  • Updated: Aug 26, 2026
  • Q & A: 85 Questions and Answers
  • Printable Microsoft GH-600 PDF Format. It is an electronic file format regardless of the operating system platform.
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Microsoft GH-600 Q&A - Testing Engine

  • Exam Code: GH-600
  • Exam Name: GitHub Agentic AI Developer
  • Updated: Aug 26, 2026
  • Q & A: 85 Questions and Answers
  • Install on multiple computers for self-paced, at-your-convenience training.
  • PC Test Engine Price: $59.99
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Microsoft GH-600 Exam Syllabus Topics:

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

                                                                                    Microsoft GitHub Agentic AI Developer Sample Questions:

                                                                                    1. 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.


                                                                                    2. You have a GitHub Enterprise Cloud Organization that uses a custom coding agent to run GitHub Actions workflows that create branches, open pull requests, and merge changes after required checks pass.
                                                                                    You need to log all agent-initiated actions and ensure that the logs are retained for two years.
                                                                                    What should you do?

                                                                                    A) Enable Git events in the audit log.
                                                                                    B) Enable log forwarding.
                                                                                    C) Configure audit log retention.
                                                                                    D) Configure audit log streaming to Azure Event Hubs.


                                                                                    3. You have a GitHub repository that uses the GitHub Copilot coding agent.
                                                                                    Your company restricts GitHub Actions secrets.
                                                                                    Developers need the Copilot coding agent to call an internal dependency-scanning API during its run. The API requires an access token.
                                                                                    You need to ensure that the Copilot coding agent can use the token during execution without accessing the repository's Actions secrets and variables. The solution must prevent exposing the token in plaintext.
                                                                                    What should you do?

                                                                                    A) Add the token as a secret in the Copilot environment.
                                                                                    B) Store the token in the agent configuration file.
                                                                                    C) Store the token in a repository custom instructions file.
                                                                                    D) Add the token as an Actions repository secret.


                                                                                    4. Case Study 1 - Contoso, Ltd
                                                                                    Overview
                                                                                    Contoso Ltd. is a software development company located in the United States.
                                                                                    Existing Environment
                                                                                    GitHub Environment
                                                                                    Contoso uses GitHub Enterprise and assigns GitHub Copilot Pro+ licenses to its developers. The developers use Microsoft Visual Studio Code as their IDE.
                                                                                    Contoso has a customer portal. The code for the portal is stored in a GitHub repository named repo1that contains the following:
                                                                                    - A custom agent named agent1 that includes instructions to review specs related to best practices
                                                                                    - A custom instruction file named validate-instructions.md that is used to validate tone of voice and applies to all .md and .txt files
                                                                                    - A custom instruction file named codereview.instructions.md that is used by the Copilot coding agent but is excluded for use by the Copilot code review repo1 has the following structure:
                                                                                    - The front-end is stored in the /frontend folder.
                                                                                    - The API logic is stored in the /api folder.
                                                                                    Contoso has a second repository named repo2 that contains a legacy .NET application named App1 built by using .NET 6. repo2 has a multi-agent workflow for modernization tasks.
                                                                                    Contoso enables the Model Context Protocol (MCP) registry and allows the Microsoft Learn MCP Server. Every developer must configure their own connection to the Learn MCP Server.
                                                                                    Problem Statements
                                                                                    The developers working in repo1 report that the Microsoft Learn documentation is NOT being retrieved when they attempt to validate a design by using agent1.
                                                                                    The testing team at Contoso identifies that the customer portal uses inconsistent UI styles, which leads to customer confusion and branding issues. The UI inconsistencies stem from variations in the folder structure.
                                                                                    Agent Logs
                                                                                    You have the following logs for the multi-agent workflow used in repo2.

                                                                                    Requirements
                                                                                    Planned Changes
                                                                                    Contoso plans to have all agents and developers in repo1use the Microsoft Learn MCP to ensure that reviews are validated by using the appropriate documentation. This must be implemented centrally.
                                                                                    Contoso plans to leverage AI-powered coding agents to implement new portal features and pages.
                                                                                    Technical Requirements
                                                                                    App1 must be upgraded to .NET 10. A previous upgrade attempt was started by using the Copilot modernization agent, but the attempt was never finalized.
                                                                                    You plan to retry the upgrade. You must first analyze App1 by using AI, and then generate a report that contains breaking changes and deprecated patterns before retrying the upgrade.
                                                                                    All AI-generated code for UI styling must adhere to a predefined folder structure.
                                                                                    The architects at Contoso need help building implementation plans for repo1. The company wants to implement a new agent named agent2 to analyze the code base and the code requirements, and then respond with a detailed plan. The agent must NOT be able to edit files or run local commands.
                                                                                    The developers must be able to delegate work to the Copilot coding agent by assigning issues to the agent.
                                                                                    Hotspot Question
                                                                                    You need to implement agent2 to meet the technical requirements.
                                                                                    How should you complete the YAML configuration? 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.


                                                                                    5. Hotspot Question
                                                                                    You have a GitHub repository that uses GitHub Copilot Chat in Microsoft Visual Studio Code.
                                                                                    Custom agents are stored in the repository under version control.
                                                                                    Your team uses a multi-agent workflow where a planner agent produces an implementation plan that is then handed off to an implementation agent to make changes.
                                                                                    Recent prompts cause the planner agent to start editing files and running commands before the plan is approved.
                                                                                    You need to configure the planner agent to meet the following requirements:
                                                                                    - Use only read-only tools.
                                                                                    - Hand off to the implementation agent only after the plan is approved.
                                                                                    How should you configure the agent? To answer, select the appropriate options in the answer area.
                                                                                    NOTE: Each correct selection is worth one point.


                                                                                    Solutions:

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

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