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Microsoft GH-600 Braindumps - in .pdf Free Demo

  • Exam Code: GH-600
  • Exam Name: GitHub Agentic AI Developer
  • Last Updated: Aug 11, 2026
  • Q & A: 85 Questions and Answers
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  • Exam Code: GH-600
  • Exam Name: GitHub Agentic AI Developer
  • Last Updated: Aug 11, 2026
  • Q & A: 85 Questions and Answers
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Microsoft GH-600 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement tool use and environment interaction20–25%- Agent tool configuration
  • 1. Configure tool permissions and scope
    • 2. Select and configure tools
      - Development environment integration
      • 1. Enable CI-based agent execution
        • 2. Enable autonomous actions (PRs, branches)
          • 3. Scope agents to repositories or branches
            - Safe execution and error handling
            • 1. Escalation paths and traceability
              • 2. Retries and rollback strategies
                - MCP server configuration
                • 1. Add MCP servers to agents
                  • 2. Configure registries and allow lists
                    Topic 2: Orchestrate multi-agent coordination15–20%- Failure handling and recovery
                    • 1. Detect stalled or degraded agents
                      • 2. Implement rollback and recovery patterns
                        - Multi-agent workflows
                        • 1. Coordinate parallel agent execution
                          • 2. Resolve conflicts and overlaps
                            - Lifecycle management
                            • 1. Add/replace/retire agents safely
                              - Observability and auditability
                              • 1. Document agent handoffs and decisions
                                • 2. Generate logs and artifacts for review
                                  Topic 3: 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. Memory scoping and expiration rules
                                            • 2. Short-term vs long-term memory selection
                                              Topic 4: Prepare agent architecture and SDLC processes15–20%- Planning vs execution boundaries
                                              • 1. Prevent execution before approval
                                                • 2. Validate structured agent plans
                                                  • 3. Separate planning and execution phases
                                                    - Integrate agents into SDLC workflows
                                                    • 1. Identify and mitigate agent anti-patterns
                                                      • 2. Define inputs, outputs, and success criteria
                                                        • 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
                                                                Topic 5: 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. Define success metrics and constraints
                                                                          • 2. Generate automated evaluation signals
                                                                            Topic 6: 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. Assign autonomy levels with compliance constraints
                                                                                  • 2. Classify agent actions by risk

                                                                                    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) /diff
                                                                                    D) /compact


                                                                                    2. Drag and Drop Question
                                                                                    You have a GitHub repository that uses the GitHub Copilot CLI to run autonomous tasks.
                                                                                    You need to validate each generated command before it runs. Any commands that attempt to modify paths outside the repository must be blocked.
                                                                                    How should you complete the YAML? 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.


                                                                                    3. 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 resolve the issue of the agents generating conflicting output. The solution must meet the implementation guidelines.
                                                                                    What should you do?

                                                                                    A) Configure each agent to work on a separate branch and add a required status check that detects file-level overlap before either pull request can be merged.
                                                                                    B) Add shared/config.yaml to a CODEOWNERS file that requires SG_Review approval before any changes can be merged.
                                                                                    C) Configure a concurrency group on both agent workflows so that only one workflow runs at a time.
                                                                                    D) Configure tools: ['read', 'search'] in both agent profiles to prevent either agent from writing files.


                                                                                    4. A pull request created by the Copilot coding agent needs to be automatically closed if it fails to pass required checks after three retry attempts, per your organization's governance policy. What should you configure?

                                                                                    A) A repository ruleset with agent-specific merge conditions and CI enforcement
                                                                                    B) agents.md
                                                                                    C) .copilotignore
                                                                                    D) /compact


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

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


                                                                                    Solutions:

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

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