Microsoft : GH-600 Questions & Answers

Updated: Oct 01, 2026

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Microsoft GH-600 Exam Syllabus Topics:

SectionWeightObjectives
Orchestrate multi-agent coordination15–20%- Manage the lifecycle of agents within multi-agent workflows
  • 1. Add agents to existing multi-agent workflows
    • 2. Retire agents while preserving auditability and workflow continuity
      • 3. Update, reconfigure, or replace agents without disrupting active workflows
        - 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
              - Operate and manage multi-agent workflows
              • 1. Apply an orchestration pattern to coordinate multiple agents
                • 2. Detect and resolve agent conflicts, including overlapping code changes, duplicated effort, and contradictory outputs
                  • 3. Configure agent isolation for parallel execution
                    - Configure observability for multi-agent behavior by using logs, artifacts, and operational signals
                    • 1. Configure multi-agent workflows to produce artifacts suitable for review and audit
                      • 2. Document key decisions, handoffs, and outcomes across agents
                        • 3. Perform post-hoc analysis of multi-agent behavior
                          Implement tool use and environment interaction20–25%- Select and configure agent tools
                          • 1. Configure agent tool permissions
                            • 2. Configure agent tools
                              • 3. Identify required tools
                                - Configure MCP servers
                                • 1. Add an MCP server as a tool to an agent
                                  • 2. Configure a GitHub remote MCP server
                                    • 3. Configure MCP allow lists
                                      • 4. Configure MCP registries
                                        - Operate agents with safe execution paths and robust error handling
                                        • 1. Implement escalation paths
                                          • 2. Implement retries
                                            • 3. Implement error handling
                                              • 4. Implement rollbacks
                                                • 5. Implement traceability and accountability for agent actions
                                                  - Integrate agents within development environments
                                                  • 1. Configure an agent to use branch-based scope
                                                    • 2. Configure an agent to handle environment-specific constraints
                                                      • 3. Configure an agent to be invoked in a CI workflow
                                                        • 4. Enable an agent to perform autonomous actions, including creating branches and pull requests
                                                          • 5. Evaluate the execution context for an agent
                                                            • 6. Configure an agent's scope to a specific repository
                                                              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. Identify the subset of actions that require human judgment
                                                                  • 3. Require explicit authorization or controlled paths for irreversible or compliance-sensitive changes
                                                                    • 4. Scope permissions and execution contexts to enforce least-privilege access
                                                                      • 5. Block actions that violate defined security, compliance, or Responsible AI policies
                                                                        - 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
                                                                            Perform evaluation, error analysis, and tuning15–20%- Tune agent behavior based on evaluation results
                                                                            • 1. Refine memory usage
                                                                              • 2. Revise instructions, workflows, or constraints
                                                                                • 3. Refine tool usage and tool access
                                                                                  - 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. Align evaluation criteria with development intent
                                                                                        • 4. Specify expected outcomes and operational constraints for agent tasks
                                                                                          - 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
                                                                                              Prepare agent architecture and SDLC processes15–20%- Integrate agents into the software development lifecycle (SDLC)
                                                                                              • 1. Identify steps for agents to perform
                                                                                                • 2. Define inputs, outputs, and success criteria for agents
                                                                                                  • 3. Identify and mitigate common anti-patterns in agents
                                                                                                    - Define boundaries between planning, reasoning, and action
                                                                                                    • 1. Configure agent planning to be distinct from agent execution
                                                                                                      • 2. Configure an agent to output a structured plan
                                                                                                        • 3. Prevent agent action until the agent checks and approves
                                                                                                          • 4. Validate agent plans
                                                                                                            - 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
                                                                                                                  Manage memory, state, and execution10–15%- Ensure continuity of agent memory and state across tools and environments
                                                                                                                  • 1. Prevent conflicting context
                                                                                                                    • 2. Share agent state
                                                                                                                      • 3. Prevent stale context
                                                                                                                        - 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. Resume agent work without repeating steps or diverging from prior decisions
                                                                                                                                • 2. Detect and correct drift during extended agent execution
                                                                                                                                  • 3. Capture task progress and decisions as durable artifacts

                                                                                                                                    Microsoft Developing in Agentic AI Systems Sample Questions:

                                                                                                                                    Question #1

                                                                                                                                    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.

                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer:

                                                                                                                                    Question #2

                                                                                                                                    You have a GitHub repository that contains an agent named Orchestrator. Orchestrator delegates work to the following specialized subagents:
                                                                                                                                    Planner reviews issues and creates a plan of action.
                                                                                                                                    Implementer writes code based on the plan of action.
                                                                                                                                    Reviewer reviews the code.
                                                                                                                                    You create a new agent named Summarizer that produces a concise summary of the work performed by the other agents.
                                                                                                                                    You need to ensure that Orchestrator can invoke Summarizer as part of its workflow.
                                                                                                                                    What should you do?

                                                                                                                                    • A. In the YAML frontmatter of the Reviewer agent, add Summarizer to the agents list.
                                                                                                                                    • B. In the YAML frontmatter of the Orchestrator agent, add Summarizer to the agents list.
                                                                                                                                    • C. In the YAML frontmatter of the Reviewer agent, add a handoffs entry that points to the Summarizer agent.
                                                                                                                                    • D. In the YAML frontmatter of the Orchestrator agent, add Summarizer to the tools list.
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: B  🗳️

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                                                                                                                                    Question #3

                                                                                                                                    You have a multi-agent GitHub Actions workflow that uploads review artifacts for each run.
                                                                                                                                    You discover that some workflow run artifacts are being deleted manually.
                                                                                                                                    You need to use your organization's audit log data to identify which user deleted the artifacts.
                                                                                                                                    Which audit log search filter should you use?

                                                                                                                                    • A. action:artifact.destroy
                                                                                                                                    • B. repo:<org>/<repo>
                                                                                                                                    • C. action:workflows.run
                                                                                                                                    • D. operation:remove
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: A  🗳️

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                                                                                                                                    Question #4

                                                                                                                                    You have a GitHub Copilot Enterprise subscription. Developers use Microsoft Visual Studio Code and GitHub Copilot.
                                                                                                                                    The developers want to share a custom agent that can review code changes but cannot modify files.
                                                                                                                                    You need to prevent the agent from modifying repository content and appearing in the agents dropdown.
                                                                                                                                    How should you configure the YAML frontmatter for the agent? 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.

                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer:

                                                                                                                                    Question #5

                                                                                                                                    Your company uses GitHub Copilot Enterprise.
                                                                                                                                    Developers use GitHub Copilot agent mode in Microsoft Visual Studio Code on their laptops and Copilot Chat on github.com when they are away from their laptops.
                                                                                                                                    When switching between environments, the developers notice that agent workflows lose continuity because the tools available in Visual Studio Code are unavailable on github.com.
                                                                                                                                    You need to ensure that the agent tools and state are available consistently across environments and can be used from any device without local setup.
                                                                                                                                    What should you do for each requirement? To answer, drag the appropriate actions to the correct requirements.

                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer:

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