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Microsoft GitHub Administrator GH-600

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
Prepare agent architecture and SDLC processes15-20%- 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
        - Define boundaries between planning, reasoning, and action
        • 1. Configure an agent to output a structured plan
          • 2. Prevent agent action until the agent checked and approved
            • 3. Validate agent plans
              • 4. Configure agent planning to be distinct from agent execution
                - Integrate agents into the software development lifecycle (SDLC)
                • 1. Define inputs, outputs, and success criteria for agents
                  • 2. Identify steps for agents to perform
                    • 3. Identify and mitigate common anti-patterns in agents
                      Orchestrate multi-agent coordination15-20%- Configure observability for multi-agent behavior by using logs, artifacts, and operational signals
                      • 1. Perform post-hoc analysis of multi-agent behavior
                        • 2. Configure multi-agent workflows to produce artifacts suitable for review and audit
                          • 3. Document key decisions, handoffs, and outcomes across agents
                            - Operate and manage multi-agent workflows
                            • 1. Configure agent isolation for parallel execution
                              • 2. Detect and resolve agent conflicts, including overlapping code changes, duplicated effort, and contradictory outputs
                                • 3. Apply an orchestration pattern to coordinate multiple agents
                                  - Manage the lifecycle of agents within multi-agent workflows
                                  • 1. Update, reconfigure, or replace agents without disrupting active workflows
                                    • 2. Add agents to existing multi-agent 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. Identify failed, partial, or stalled agent executions
                                            • 3. Implement multi-agent recovery patterns, including rollback and human-in-the-loop
                                              Manage memory, state, and execution10-15%- Implement agent memory strategies
                                              • 1. Choose between short-term, long-term, and external memory
                                                • 2. Define memory expiration, pruning, and reset rules
                                                  • 3. Scope agent memory to task-relevant information
                                                    - Persist agent state and manage context drift
                                                    • 1. Detect and correct drift during extended agent execution
                                                      • 2. Capture task progress and decisions as durable artifacts
                                                        • 3. Resume agent work without repeating steps or diverging from prior decisions
                                                          - Ensure continuity of agent memory and state across tools and environments
                                                          • 1. Share agent state
                                                            • 2. Prevent stale context
                                                              • 3. Prevent conflicting context
                                                                Implement tool use and environment interaction20-25%- Operate agents with safe execution paths and robust error handling
                                                                • 1. Implement escalation paths
                                                                  • 2. Implement traceability and accountability for agent actions
                                                                    • 3. Implement retries
                                                                      • 4. Implement error handling
                                                                        • 5. Implement rollbacks
                                                                          - Integrate agents within development environments
                                                                          • 1. Evaluate the execution context for an agent
                                                                            • 2. Enable an agent to perform autonomous actions, including creating branches and pull requests
                                                                              • 3. Configure an agent's scope to a specific repository
                                                                                • 4. Configure an agent to use branch-based scope
                                                                                  • 5. Configure an agent to be invoked in a CI workflow
                                                                                    • 6. Configure an agent to handle environment-specific constraints
                                                                                      - Select and configure agent tools
                                                                                      • 1. Configure agent tool permissions
                                                                                        • 2. Identify required tools
                                                                                          • 3. Configure agent tools
                                                                                            - Configure MCP servers
                                                                                            • 1. Configure the MCP registries
                                                                                              • 2. Configure a GitHub remote MCP server
                                                                                                • 3. Add an MCP server as a tool to an agent
                                                                                                  • 4. Configure MCP allow lists
                                                                                                    Perform evaluation, error analysis, and tuning15-20%- Analyze agent failures and identify root causes
                                                                                                    • 1. Identify failures by using logs, plans, traces, outputs, and workflow artifacts
                                                                                                      • 2. Classify root causes, including reasoning errors, tool misuse, and context or environment issues
                                                                                                        - Tune agent behavior based on evaluation results
                                                                                                        • 1. Revise instructions, workflows, or constraints
                                                                                                          • 2. Refine memory usage
                                                                                                            • 3. Refine tool usage and tool access
                                                                                                              - Define success criteria and evaluation signals for agent tasks
                                                                                                              • 1. Identify qualitative and quantitative evaluation signals to evaluate agents
                                                                                                                • 2. Specify expected outcomes and operational constraints for agent tasks
                                                                                                                  • 3. Align evaluation criteria with development intent
                                                                                                                    • 4. Generate evaluation signals by using automated scanning tools
                                                                                                                      Implement guardrails and accountability10-15%- 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. Identify the subset of actions that require human judgment
                                                                                                                              • 5. Scope permissions and execution contexts to enforce least-privilege access
                                                                                                                                - Define autonomy levels
                                                                                                                                • 1. Assign autonomy levels to maximize delivery speed while remaining compliant with organizational security and Responsible AI standards
                                                                                                                                  • 2. Classify agent actions by operational, security, and compliance risk to right-size human interventions

                                                                                                                                    Microsoft Developing in Agentic AI Systems Sample Questions:

                                                                                                                                    Question #1
                                                                                                                                    You use the GitHub Copilot CLI in a developer terminal.
                                                                                                                                    You plan to use Copilot CLI programmatically to summarize recent commits.
                                                                                                                                    You need to ensure that Copilot performs a low-risk, read-only action without granting Copilot broad write or execution capability.
                                                                                                                                    Which Copilot CLI configuration should you use?

                                                                                                                                    A. copilot -p "<prompt>" --allow-all-tools
                                                                                                                                    B. copilot -p "<prompt>" --allow-tool 'shell(git)'
                                                                                                                                    C. copilot -p "<prompt>" --deny-tool 'shell(git)'
                                                                                                                                    D. copilot -p "<prompt>" --allow-tool 'write'


                                                                                                                                    Question #2
                                                                                                                                    You need to enable Copilot memory to support the planned changes.
                                                                                                                                    What should you configure?

                                                                                                                                    A. The Copilot settings of the organization
                                                                                                                                    B. The Copilot settings of each repository
                                                                                                                                    C. The agent profile of agent1
                                                                                                                                    D. The personal Copilot settings of each developer


                                                                                                                                    Question #3
                                                                                                                                    You use a GitHub Actions workflow to orchestrate a multi-agent draft-review process for pull requests. The workflow uploads a single combined review-package artifact at the end of each run.
                                                                                                                                    You discover that the review-package artifact is occasionally missing from the workflow run history, and you suspect that a user deleted it.
                                                                                                                                    You need to identify which user manually deleted a workflow run artifact and when the deletion occurred.
                                                                                                                                    What should you use?

                                                                                                                                    A. The checks.delete_log audit log event
                                                                                                                                    B. The merge commit history
                                                                                                                                    C. The artifact.destroy audit log event
                                                                                                                                    D. The pull request description and comment history


                                                                                                                                    Question #4
                                                                                                                                    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 log forwarding.
                                                                                                                                    B. Enable Git events in the audit log.
                                                                                                                                    C. Configure audit log streaming.


                                                                                                                                    Question #5
                                                                                                                                    Before App1 is upgraded, you need to verify each individual upgrade step and whether all tests have passed.
                                                                                                                                    Which file should you use?

                                                                                                                                    A. <project>/.github/upgrades/{scenarioId}/tasks.md
                                                                                                                                    B. <project>/.mcp/agent.md
                                                                                                                                    C. <project>/.github/plan.md
                                                                                                                                    D. <project>/.github/upgrades/{scenarioId}/assessment.md


                                                                                                                                    Solutions:

                                                                                                                                    Question #1
                                                                                                                                    Correct Answer: B
                                                                                                                                    Question #2
                                                                                                                                    Correct Answer: A
                                                                                                                                    Question #3
                                                                                                                                    Correct Answer: C
                                                                                                                                    Question #4
                                                                                                                                    Correct Answer: C
                                                                                                                                    Question #5
                                                                                                                                    Correct Answer: A

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