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Microsoft GitHub Administrator GH-600 Braindumps

GH-600

Exam Code: GH-600

Exam Name: Developing in Agentic AI Systems

Updated: Sep 18, 2026

Q & A: 111 Questions and Answers

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Microsoft GH-600 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Manage memory, state, and execution10-15%- Ensure continuity of agent memory and state across tools and environments
  • 1. Prevent conflicting context
    • 2. Prevent stale context
      • 3. Share agent state
        - Persist agent state and manage context drift
        • 1. Capture task progress and decisions as durable artifacts
          • 2. Detect and correct drift during extended agent execution
            • 3. Resume agent work without repeating steps or diverging from prior decisions
              - Implement agent memory strategies
              • 1. Scope agent memory to task-relevant information
                • 2. Choose between short-term, long-term, and external memory
                  • 3. Define memory expiration, pruning, and reset rules
                    Topic 2: Prepare agent architecture and SDLC processes15-20%- Define boundaries between planning, reasoning, and action
                    • 1. Configure an agent to output a structured plan
                      • 2. Configure agent planning to be distinct from agent execution
                        • 3. Validate agent plans
                          • 4. Prevent agent action until the agent checked and approved
                            - Integrate agents into the software development lifecycle (SDLC)
                            • 1. Identify and mitigate common anti-patterns in agents
                              • 2. Define inputs, outputs, and success criteria for agents
                                • 3. Identify steps for agents to perform
                                  - Configure observability and control for autonomous agents
                                  • 1. Plan and implement the degree of agent autonomy, including guardrails
                                    • 2. Configure agents to produce inspectable artifacts within standard development tooling
                                      • 3. Configure human intervention for autonomous agents without slowing delivery
                                        Topic 3: Implement guardrails and accountability10-15%- Define autonomy levels
                                        • 1. Classify agent actions by operational, security, and compliance risk to right-size human interventions
                                          • 2. Assign autonomy levels to maximize delivery speed while remaining compliant with organizational security and Responsible AI standards
                                            - Implement guardrails and human-in-the-loop workflows
                                            • 1. Preserve execution velocity by minimizing approvals that do not materially reduce risk
                                              • 2. Require explicit authorization or controlled paths for irreversible or compliance-sensitive changes
                                                • 3. Block actions that violate defined security, compliance, or Responsible AI policies
                                                  • 4. Scope permissions and execution contexts to enforce least-privilege access
                                                    • 5. Identify the subset of actions that require human judgment
                                                      Topic 4: Perform evaluation, error analysis, and tuning15-20%- Tune agent behavior based on evaluation results
                                                      • 1. Refine memory usage
                                                        • 2. Refine tool usage and tool access
                                                          • 3. Revise instructions, workflows, or constraints
                                                            - Define success criteria and evaluation signals for agent tasks
                                                            • 1. Generate evaluation signals by using automated scanning tools
                                                              • 2. Identify qualitative and quantitative evaluation signals to evaluate agents
                                                                • 3. Specify expected outcomes and operational constraints for agent tasks
                                                                  • 4. Align evaluation criteria with development intent
                                                                    - Analyze agent failures and identify root causes
                                                                    • 1. Classify root causes, including reasoning errors, tool misuse, and context or environment issues
                                                                      • 2. Identify failures by using logs, plans, traces, outputs, and workflow artifacts
                                                                        Topic 5: Orchestrate multi-agent coordination15-20%- Configure observability for multi-agent behavior by using logs, artifacts, and operational signals
                                                                        • 1. Document key decisions, handoffs, and outcomes across agents
                                                                          • 2. Configure multi-agent workflows to produce artifacts suitable for review and audit
                                                                            • 3. Perform post-hoc analysis of multi-agent behavior
                                                                              - Operate and manage multi-agent workflows
                                                                              • 1. Detect and resolve agent conflicts, including overlapping code changes, duplicated effort, and contradictory outputs
                                                                                • 2. Configure agent isolation for parallel execution
                                                                                  • 3. Apply an orchestration pattern to coordinate multiple agents
                                                                                    - Manage the lifecycle of agents within multi-agent workflows
                                                                                    • 1. Add agents to existing multi-agent workflows
                                                                                      • 2. Update, reconfigure, or replace agents without disrupting active workflows
                                                                                        • 3. Retire agents while preserving auditability and workflow continuity
                                                                                          - Detect and respond to multi-agent failures and degraded behavior
                                                                                          • 1. Respond to degraded behavior or coordination across agents
                                                                                            • 2. Implement multi-agent recovery patterns, including rollback and human-in-the-loop
                                                                                              • 3. Identify failed, partial, or stalled agent executions
                                                                                                Topic 6: Implement tool use and environment interaction20-25%- Select and configure agent tools
                                                                                                • 1. Identify required tools
                                                                                                  • 2. Configure agent tools
                                                                                                    • 3. Configure agent tool permissions
                                                                                                      - Configure MCP servers
                                                                                                      • 1. Add an MCP server as a tool to an agent
                                                                                                        • 2. Configure MCP allow lists
                                                                                                          • 3. Configure the MCP registries
                                                                                                            • 4. Configure a GitHub remote MCP server
                                                                                                              - Integrate agents within development environments
                                                                                                              • 1. Configure an agent to be invoked in a CI workflow
                                                                                                                • 2. Configure an agent to handle environment-specific constraints
                                                                                                                  • 3. Configure an agent's scope to a specific repository
                                                                                                                    • 4. Evaluate the execution context for an agent
                                                                                                                      • 5. Enable an agent to perform autonomous actions, including creating branches and pull requests
                                                                                                                        • 6. Configure an agent to use branch-based scope
                                                                                                                          - Operate agents with safe execution paths and robust error handling
                                                                                                                          • 1. Implement rollbacks
                                                                                                                            • 2. Implement escalation paths
                                                                                                                              • 3. Implement retries
                                                                                                                                • 4. Implement traceability and accountability for agent actions
                                                                                                                                  • 5. Implement error handling

                                                                                                                                    Microsoft Developing in Agentic AI Systems Sample Questions:

                                                                                                                                    Question #1
                                                                                                                                    You have a GitHub Enterprise Cloud organization that uses the GitHub Copilot coding agent.
                                                                                                                                    Copilot creates a draft pull request for an assigned issue, and the pull request timeline shows Copilot started work.
                                                                                                                                    After 70 minutes, the agent session log stops updating, and the pull request body status stops changing.
                                                                                                                                    You need to restart the agent so that it continues the task from the issue context and produces new commits to the existing draft pull request.
                                                                                                                                    What should you do?

                                                                                                                                    A. Wait for the agent to complete.
                                                                                                                                    B. Unassign the issue from Copilot, and then reassign the issue to Copilot.
                                                                                                                                    C. Select Approve and run workflows in the pull request merge box.
                                                                                                                                    D. Merge the draft pull request and mention @copilot on the merged pull request.


                                                                                                                                    Question #2
                                                                                                                                    You have a GitHub repository that contains the following custom agent files:
                                                                                                                                    A file named planner.agent.md that includes YAML frontmatter with a handoffs entry that has label: Start Implementation, agent: implementer, and prompt: Now implement the plan outlined above.
                                                                                                                                    A file named implementer.agent.md that is in the same directory as planner.agent.md and includes YAML frontmatter that has name: IMPLEMENTER.
                                                                                                                                    You add a third agent file named review.agent.md that includes name: code-review in the YAML frontmatter.
                                                                                                                                    You make the following changes to planner.agent.md:
                                                                                                                                    Update the existing handoff to include send: true and model: GPT-5.2 (copilot).
                                                                                                                                    Add a second handoff that has label: Run Review, agent: code-review, and prompt: Review the code changes made in the previous step.


                                                                                                                                    Question #3
                                                                                                                                    You have a GitHub Actions workflow that starts multiple agent jobs in parallel.
                                                                                                                                    You need to prevent two runs in the same job from executing simultaneously on the same branch. The solution must ensure, at most, one running instance and one pending instance per branch.
                                                                                                                                    What should you add to the job?

                                                                                                                                    A. jobs.<job_id>.strategy.matrix: [1]
                                                                                                                                    B. jobs.<job_id>.concurrency.cancel-in-progress: ${{ !contains(github.ref, 'release/') }}
                                                                                                                                    C. jobs.<job_id>.concurrency.group: ci-${{ github.ref }}
                                                                                                                                    D. jobs.<job_id>.strategy.max-parallel: 1


                                                                                                                                    Question #4
                                                                                                                                    You have a GitHub repository that uses GitHub Actions to run an autonomous coding-agent workflow.
                                                                                                                                    Your team requires that session logs be captured as workflow artifacts so that agent runs can be audited and traced back to a specific execution and code state.
                                                                                                                                    How should you complete the workflow? To answer, drag the appropriate values to the correct targets.


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

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