Microsoft GH-600 actual dump : Developing in Agentic AI Systems

GH-600
  • Exam Code: GH-600
  • Exam Name: Developing in Agentic AI Systems
  • Updated: Sep 27, 2026
  • Q & A: 111 Questions and Answers

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Microsoft GH-600 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Prepare agent architecture and SDLC processes15–20%- Define boundaries between planning, reasoning, and action
  • 1. Validate agent plans
    • 2. Configure an agent to output a structured plan
      • 3. Configure agent planning to be distinct from agent execution
        • 4. Prevent agent action until the agent checks and approves
          - 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
                - Integrate agents into the software development lifecycle (SDLC)
                • 1. Define inputs, outputs, and success criteria for agents
                  • 2. Identify and mitigate common anti-patterns in agents
                    • 3. Identify steps for agents to perform
                      Topic 2: Orchestrate multi-agent coordination15–20%- 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. 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
                                  - Manage the lifecycle of agents within multi-agent workflows
                                  • 1. Update, reconfigure, or replace agents without disrupting active workflows
                                    • 2. Retire agents while preserving auditability and workflow continuity
                                      • 3. Add agents to existing multi-agent workflows
                                        - Detect and respond to multi-agent failures and degraded behavior
                                        • 1. Implement multi-agent recovery patterns, including rollback and human-in-the-loop
                                          • 2. Identify failed, partial, or stalled agent executions
                                            • 3. Respond to degraded behavior or coordination across agents
                                              Topic 3: Implement guardrails and accountability10–15%- 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
                                                  - Implement guardrails and human-in-the-loop workflows
                                                  • 1. Block actions that violate defined security, compliance, or Responsible AI policies
                                                    • 2. Preserve execution velocity by minimizing approvals that do not materially reduce risk
                                                      • 3. Identify the subset of actions that require human judgment
                                                        • 4. Scope permissions and execution contexts to enforce least-privilege access
                                                          • 5. Require explicit authorization or controlled paths for irreversible or compliance-sensitive changes
                                                            Topic 4: Implement tool use and environment interaction20–25%- Configure MCP servers
                                                            • 1. Configure a GitHub remote MCP server
                                                              • 2. Configure MCP registries
                                                                • 3. Add an MCP server as a tool to an agent
                                                                  • 4. Configure MCP allow lists
                                                                    - Integrate agents within development environments
                                                                    • 1. Configure an agent to be invoked in a CI workflow
                                                                      • 2. Enable an agent to perform autonomous actions, including creating branches and pull requests
                                                                        • 3. Configure an agent to handle environment-specific constraints
                                                                          • 4. Evaluate the execution context for an agent
                                                                            • 5. Configure an agent to use branch-based scope
                                                                              • 6. Configure an agent's scope to a specific repository
                                                                                - Operate agents with safe execution paths and robust error handling
                                                                                • 1. Implement rollbacks
                                                                                  • 2. Implement escalation paths
                                                                                    • 3. Implement error handling
                                                                                      • 4. Implement traceability and accountability for agent actions
                                                                                        • 5. Implement retries
                                                                                          - Select and configure agent tools
                                                                                          • 1. Configure agent tools
                                                                                            • 2. Identify required tools
                                                                                              • 3. Configure agent tool permissions
                                                                                                Topic 5: Perform evaluation, error analysis, and tuning15–20%- Tune agent behavior based on evaluation results
                                                                                                • 1. Refine tool usage and tool access
                                                                                                  • 2. Refine memory usage
                                                                                                    • 3. Revise instructions, workflows, or constraints
                                                                                                      - Define success criteria and evaluation signals for agent tasks
                                                                                                      • 1. Specify expected outcomes and operational constraints for agent tasks
                                                                                                        • 2. Align evaluation criteria with development intent
                                                                                                          • 3. Generate evaluation signals by using automated scanning tools
                                                                                                            • 4. Identify qualitative and quantitative evaluation signals to evaluate agents
                                                                                                              - 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
                                                                                                                  Topic 6: 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. 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 stale context
                                                                                                                                • 2. Share agent state
                                                                                                                                  • 3. Prevent conflicting context

                                                                                                                                    Microsoft Developing in Agentic AI Systems Sample Questions:

                                                                                                                                    Question #1

                                                                                                                                    You need to configure agent1 to support the planned changes.
                                                                                                                                    What should you do?

                                                                                                                                    • A. Add the mcp-servers property to the agent configuration.
                                                                                                                                    • B. In the agent configuration, replace line 05 with the following: tools: []
                                                                                                                                    • C. Add Use all available tools to the .github/copilot-instructions.md file.
                                                                                                                                    • D. Add Use all available tools to the instructions in the agent configuration.
                                                                                                                                    • E. Delete line 05 from the agent configuration.
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: A  🗳️

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                                                                                                                                    Question #2

                                                                                                                                    You have a GitHub Enterprise Cloud repository that uses the GitHub Copilot coding agent to resolve backlog issues by creating draft pull requests. The repository uses a GitHub Actions workflow for deployments to the production environment.
                                                                                                                                    You discover that the workflow is being triggered before human review.
                                                                                                                                    You need to configure GitHub controls to meet the following requirements:
                                                                                                                                    The workflow for the agent's draft pull requests must NOT run until a user that has write access approves the pull requests.
                                                                                                                                    Production deployment jobs must start only after a user with write access explicitly approves the jobs.
                                                                                                                                    Which controls should you configure? To answer, drag the appropriate controls to the correct requirements.

                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer:

                                                                                                                                    Question #3

                                                                                                                                    You use the GitHub Copilot CLI in ephemeral dev containers.
                                                                                                                                    You need to provide Copilot with reusable guidance for a specific task only. The guidance must be stored in the repository and invoked only when the task is relevant.
                                                                                                                                    What should you do?

                                                                                                                                    • A. Add personal custom instructions to the user's Copilot settings.
                                                                                                                                    • B. Create a skill under .github/skills/<skill-name>/SKILL.md.
                                                                                                                                    • C. Create a skill under .copilot/skills/<skill-name>/SKILL.md.
                                                                                                                                    • D. Add repository-wide custom instructions to .github/copilot-instructions.md.
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: B  🗳️

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                                                                                                                                    Question #4

                                                                                                                                    You have a GitHub Enterprise Cloud organization that uses GitHub Actions for CI/CD.
                                                                                                                                    You plan to enable an agent to update and deploy workflows that access production environment secrets.
                                                                                                                                    You need to select an autonomy level for a compliance-sensitive workflow.
                                                                                                                                    Which autonomy level should you select?

                                                                                                                                    • A. Human-in-the-loop with required manual approvals for production
                                                                                                                                    • B. Read-only analysis with no ability to trigger workflows
                                                                                                                                    • C. Autonomous execution limited to non-production environments
                                                                                                                                    • D. Fully autonomous execution without approvals
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: A  🗳️

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                                                                                                                                    Question #5

                                                                                                                                    You have a GitHub repository that uses the GitHub Copilot coding agent to resolve issues and create draft pull requests. The repository has a ruleset named ruleset1 that enforces the following:
                                                                                                                                    Signed commits
                                                                                                                                    Branch protections that require status checks to pass before merge
                                                                                                                                    The agent is blocked from operating in the repository because it fails to comply with the signed-commits rule.
                                                                                                                                    You need to ensure that the agent can create and push changes to copilot/ branches. The solution must enforce the signed-commits rule for human developers on protected branches.
                                                                                                                                    What should you do?

                                                                                                                                    • A. Add Copilot as a bypass actor for ruleset1.
                                                                                                                                    • B. Make Copilot an owner of the repository.
                                                                                                                                    • C. Remove the Require signed commits rule from ruleset1.
                                                                                                                                    • D. Grant the Copilot coding agent permission to push directly to the copilot/ branches.
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: A  🗳️

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