Microsoft GH-600 : Developing in Agentic AI Systems

  • 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
Orchestrate multi-agent coordination15–20%- Operate and manage multi-agent workflows
  • 1. Configure agent isolation for parallel execution
    • 2. Apply an orchestration pattern to coordinate multiple agents
      • 3. Detect and resolve agent conflicts, including overlapping code changes, duplicated effort, and contradictory outputs
        - Manage the lifecycle of agents within multi-agent workflows
        • 1. Retire agents while preserving auditability and workflow continuity
          • 2. Add agents to existing multi-agent workflows
            • 3. Update, reconfigure, or replace agents without disrupting active workflows
              - Configure observability for multi-agent behavior by using logs, artifacts, and operational signals
              • 1. Document key decisions, handoffs, and outcomes across agents
                • 2. Perform post-hoc analysis of multi-agent behavior
                  • 3. Configure multi-agent workflows to produce artifacts suitable for review and audit
                    - Detect and respond to multi-agent failures and degraded behavior
                    • 1. Identify failed, partial, or stalled agent executions
                      • 2. Implement multi-agent recovery patterns, including rollback and human-in-the-loop
                        • 3. Respond to degraded behavior or coordination across agents
                          Implement tool use and environment interaction20–25%- Configure MCP servers
                          • 1. Configure MCP allow lists
                            • 2. Configure a GitHub remote MCP server
                              • 3. Configure MCP registries
                                • 4. Add an MCP server as a tool to an agent
                                  - Integrate agents within development environments
                                  • 1. Enable an agent to perform autonomous actions, including creating branches and pull requests
                                    • 2. Configure an agent to be invoked in a CI workflow
                                      • 3. Evaluate the execution context for an agent
                                        • 4. Configure an agent's scope to a specific repository
                                          • 5. Configure an agent to handle environment-specific constraints
                                            • 6. Configure an agent to use branch-based scope
                                              - Operate agents with safe execution paths and robust error handling
                                              • 1. Implement escalation paths
                                                • 2. Implement traceability and accountability for agent actions
                                                  • 3. Implement error handling
                                                    • 4. Implement retries
                                                      • 5. Implement rollbacks
                                                        - Select and configure agent tools
                                                        • 1. Identify required tools
                                                          • 2. Configure agent tool permissions
                                                            • 3. Configure agent tools
                                                              Implement guardrails and accountability10–15%- Implement guardrails and human-in-the-loop workflows
                                                              • 1. Require explicit authorization or controlled paths for irreversible or compliance-sensitive changes
                                                                • 2. Block actions that violate defined security, compliance, or Responsible AI policies
                                                                  • 3. Identify the subset of actions that require human judgment
                                                                    • 4. Scope permissions and execution contexts to enforce least-privilege access
                                                                      • 5. Preserve execution velocity by minimizing approvals that do not materially reduce risk
                                                                        - 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
                                                                            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
                                                                                - Define success criteria and evaluation signals for agent tasks
                                                                                • 1. Identify qualitative and quantitative evaluation signals to evaluate agents
                                                                                  • 2. Align evaluation criteria with development intent
                                                                                    • 3. Generate evaluation signals by using automated scanning tools
                                                                                      • 4. Specify expected outcomes and operational constraints for agent tasks
                                                                                        - Tune agent behavior based on evaluation results
                                                                                        • 1. Refine memory usage
                                                                                          • 2. Refine tool usage and tool access
                                                                                            • 3. Revise instructions, workflows, or constraints
                                                                                              Manage memory, state, and execution10–15%- Persist agent state and manage context drift
                                                                                              • 1. Capture task progress and decisions as durable artifacts
                                                                                                • 2. Resume agent work without repeating steps or diverging from prior decisions
                                                                                                  • 3. Detect and correct drift during extended agent execution
                                                                                                    - Ensure continuity of agent memory and state across tools and environments
                                                                                                    • 1. Prevent conflicting context
                                                                                                      • 2. Prevent stale context
                                                                                                        • 3. Share agent state
                                                                                                          - 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
                                                                                                                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. Prevent agent action until the agent checks and approves
                                                                                                                        • 2. Validate agent plans
                                                                                                                          • 3. Configure agent planning to be distinct from agent execution
                                                                                                                            • 4. Configure an agent to output a structured plan
                                                                                                                              - 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

                                                                                                                                    Microsoft Developing in Agentic AI Systems Sample Questions:

                                                                                                                                    Question #1

                                                                                                                                    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/plan.md
                                                                                                                                    • B. <project>/.mcp/agent.md
                                                                                                                                    • C. <project>/.github/upgrades/{scenarioId}/assessment.md
                                                                                                                                    • D. <project>/.github/upgrades/{scenarioId}/tasks.md
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: D  🗳️

                                                                                                                                    Explanation: Only visible for Pass4guide members. You can sign-up / login (it's free).

                                                                                                                                    Question #2

                                                                                                                                    You have a GitHub repository that uses GitHub Actions to validate pull requests opened by the GitHub Copilot coding agent. The workflow runs unit tests and a linter on pull request triggers, and Copilot opens draft pull requests on dedicated branches while iterating by using commits.
                                                                                                                                    You discover that when multiple Copilot sessions push updates to the same pull request branch in quick succession, multiple workflow runs execute concurrently.
                                                                                                                                    You need to enable parallel workflow executions across different pull request branches.
                                                                                                                                    How should you configure workflow-level concurrency? To answer, select the appropriate options in the answer area.
                                                                                                                                    NOTE: Each correct selection is worth one point.

                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer:

                                                                                                                                    Question #3

                                                                                                                                    You have a GitHub repository that uses the GitHub Copilot coding agent.
                                                                                                                                    You need to complete the hooks configuration to meet the following requirements:
                                                                                                                                    Tool usage must be evaluated before execution.
                                                                                                                                    Build results must be logged after execution.
                                                                                                                                    Tool usage must be logged after execution.
                                                                                                                                    How should you complete the hooks configuration? To answer, drag the appropriate values to the correct targets.

                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer:

                                                                                                                                    Question #4

                                                                                                                                    You are evaluating the following workflow YAML.
                                                                                                                                    jobs:
                                                                                                                                    agent1:
                                                                                                                                    runs-on: ubuntu-latest
                                                                                                                                    environment: agent-sandbox
                                                                                                                                    steps:
                                                                                                                                    - uses: actions/checkout@v4
                                                                                                                                    For each of the following statements, select Yes if the statement is true. Otherwise, select No.
                                                                                                                                    NOTE: Each correct selection is worth one point.

                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer:

                                                                                                                                    Question #5

                                                                                                                                    You are evaluating the logs of the multi-agent workflow in repo2.
                                                                                                                                    For each of the following statements, select Yes if the statement is true. Otherwise, select No.
                                                                                                                                    NOTE: Each correct selection is worth one point.

                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer:

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