] GH-600 Training Online: GitHub Agentic AI Developer & GitHub Agentic AI Developer Dumps Torrent

Microsoft GitHub Agentic AI Developer : GH-600

  • Exam Code: GH-600
  • Exam Name: GitHub Agentic AI Developer
  • Updated: Aug 22, 2026
  • Q & A: 85 Questions and Answers

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Microsoft GH-600 Exam Syllabus Topics:

SectionWeightObjectives
Evaluation, error analysis, and tuning15–20%- Failure analysis
  • 1. Analyze logs, traces, and artifacts
    • 2. Classify reasoning, tool, and context errors
      - Tuning agent behavior
      • 1. Optimize memory usage and constraints
        • 2. Refine prompts, tools, and workflows
          - 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. Identify and mitigate agent anti-patterns
                • 2. Define agent steps in SDLC
                  • 3. Define inputs, outputs, and success criteria
                    - 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. Prevent execution before approval
                            • 2. Validate structured agent plans
                              • 3. Separate planning and execution phases
                                Implement tool use and environment interaction20–25%- Agent tool configuration
                                • 1. Select and configure tools
                                  • 2. Configure tool permissions and scope
                                    - Development environment integration
                                    • 1. Enable autonomous actions (PRs, branches)
                                      • 2. Scope agents to repositories or branches
                                        • 3. Enable CI-based agent execution
                                          - MCP server configuration
                                          • 1. Configure registries and allow lists
                                            • 2. Add MCP servers to agents
                                              - Safe execution and error handling
                                              • 1. Escalation paths and traceability
                                                • 2. Retries and rollback strategies
                                                  Orchestrate multi-agent coordination15–20%- Multi-agent workflows
                                                  • 1. Coordinate parallel agent execution
                                                    • 2. Resolve conflicts and overlaps
                                                      - Failure handling and recovery
                                                      • 1. Detect stalled or degraded agents
                                                        • 2. Implement rollback and recovery patterns
                                                          - Lifecycle management
                                                          • 1. Add/replace/retire agents safely
                                                            - Observability and auditability
                                                            • 1. Generate logs and artifacts for review
                                                              • 2. Document agent handoffs and decisions
                                                                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. Assign autonomy levels with compliance constraints
                                                                      • 2. Classify agent actions by risk
                                                                        Manage memory, state, and execution10–15%- State persistence and drift control
                                                                        • 1. Detect and correct context drift
                                                                          • 2. Persist task progress as artifacts
                                                                            - Cross-tool continuity
                                                                            • 1. Prevent stale or conflicting context
                                                                              • 2. Share state across tools and environments
                                                                                - Agent memory strategies
                                                                                • 1. Short-term vs long-term memory selection
                                                                                  • 2. Memory scoping and expiration rules

                                                                                    Microsoft GitHub Agentic AI Developer Sample Questions:

                                                                                    1. You have a GitHub Enterprise Cloud repository that uses the GitHub Copilot coding agent.
                                                                                    Engineers assign issues to Copilot, and Copilot creates draft pull requests. The engineers start tasks either by assigning issues on github.com or by using GitHub Copilot Chat in an IDE.
                                                                                    Reviewers request updates by leaving pull request comments.
                                                                                    You discover that sometimes, Copilot uses outdated requirements after a reviewer posts an updated instruction in a pull request comment, and, in several cases, Copilot fails to resume work from the comment.
                                                                                    You need to ensure that iteration requests are applied to the correct pull request session and are processed consistently.
                                                                                    What should you do?

                                                                                    A) Ensure that the reviewer has write access to the repository. Instruct the reviewer to mention
                                                                                    @copilot in the pull request comments.
                                                                                    B) Ensure that the agent has write access to the repository. Instruct the reviewer to unassign and reassign the original issue to Copilot.
                                                                                    C) Ensure that the agent has write access to the repository. Instruct the reviewer to mention @github in the task comments.
                                                                                    D) Start a new task from Copilot Chat in the IDE. Instruct the reviewer to mention @github in the task comments.


                                                                                    2. You are running the GitHub Copilot CLI and want the agent to execute file edits and shell commands without prompting for confirmation on each individual action, during a trusted throwaway sandbox session. Which flag/command should you use?

                                                                                    A) /context
                                                                                    B) --agent=Task
                                                                                    C) /compact
                                                                                    D) --allow-all


                                                                                    3. 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.


                                                                                    4. You have a GitHub Enterprise organization that has Copilot memory enabled.
                                                                                    You create a new repository.
                                                                                    What are two ways that memories will be deleted from the repository? Each correct answer presents a complete solution.
                                                                                    NOTE: Each correct selection is worth one point.

                                                                                    A) when the code that created the memory is deleted
                                                                                    B) manually by repository members
                                                                                    C) when the repository is archived
                                                                                    D) automatically after 28 days
                                                                                    E) when pull requests are merged


                                                                                    5. You have a repository that uses the GitHub Copilot coding agent and supports hooks stored under .github/hooks.
                                                                                    You need a Shell command to run automatically whenever an agent execution fails.
                                                                                    Which type of hook should you use?

                                                                                    A) sessionEnd
                                                                                    B) postToolUse
                                                                                    C) agentStop
                                                                                    D) errorOccurred


                                                                                    Solutions:

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

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