Microsoft GH-600 Q&A - in .pdf

  • GH-600 pdf
  • Exam Code: GH-600
  • Exam Name: Developing in Agentic AI Systems
  • Updated: Oct 06, 2026
  • Q & A: 111 Questions and Answers
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Microsoft GH-600 Q&A - Testing Engine

  • GH-600 Testing Engine
  • Exam Code: GH-600
  • Exam Name: Developing in Agentic AI Systems
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  • Q & A: 111 Questions and Answers
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Microsoft GH-600 Exam Syllabus Topics:

SectionWeightObjectives
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. Resume agent work without repeating steps or diverging from prior decisions
            • 3. Detect and correct drift during extended agent execution
              - 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. Configure agents to produce inspectable artifacts within standard development tooling
                      • 2. Plan and implement the degree of agent autonomy, including guardrails
                        • 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. Configure an agent to output a structured plan
                              • 3. Configure agent planning to be distinct from agent execution
                                • 4. Validate agent plans
                                  - 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
                                        Implement guardrails and accountability10–15%- Implement guardrails and human-in-the-loop workflows
                                        • 1. Block actions that violate defined security, compliance, or Responsible AI policies
                                          • 2. Scope permissions and execution contexts to enforce least-privilege access
                                            • 3. Preserve execution velocity by minimizing approvals that do not materially reduce risk
                                              • 4. Require explicit authorization or controlled paths for irreversible or compliance-sensitive changes
                                                • 5. Identify the subset of actions that require human judgment
                                                  - 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
                                                      Orchestrate multi-agent coordination15–20%- 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
                                                            - Configure observability for multi-agent behavior by using logs, artifacts, and operational signals
                                                            • 1. Perform post-hoc analysis of multi-agent behavior
                                                              • 2. Document key decisions, handoffs, and outcomes across agents
                                                                • 3. Configure multi-agent workflows to produce artifacts suitable for review and audit
                                                                  - 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. 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
                                                                              Perform evaluation, error analysis, and tuning15–20%- 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
                                                                                  - Tune agent behavior based on evaluation results
                                                                                  • 1. Refine tool usage and tool access
                                                                                    • 2. Revise instructions, workflows, or constraints
                                                                                      • 3. Refine memory usage
                                                                                        - Define success criteria and evaluation signals for agent tasks
                                                                                        • 1. Specify expected outcomes and operational constraints for agent tasks
                                                                                          • 2. Generate evaluation signals by using automated scanning tools
                                                                                            • 3. Align evaluation criteria with development intent
                                                                                              • 4. Identify qualitative and quantitative evaluation signals to evaluate agents
                                                                                                Implement tool use and environment interaction20–25%- Operate agents with safe execution paths and robust error handling
                                                                                                • 1. Implement error handling
                                                                                                  • 2. Implement escalation paths
                                                                                                    • 3. Implement traceability and accountability for agent actions
                                                                                                      • 4. Implement rollbacks
                                                                                                        • 5. Implement retries
                                                                                                          - Configure MCP servers
                                                                                                          • 1. Configure MCP registries
                                                                                                            • 2. Add an MCP server as a tool to an agent
                                                                                                              • 3. Configure MCP allow lists
                                                                                                                • 4. Configure a GitHub remote MCP server
                                                                                                                  - Integrate agents within development environments
                                                                                                                  • 1. Enable an agent to perform autonomous actions, including creating branches and pull requests
                                                                                                                    • 2. Configure an agent to handle environment-specific constraints
                                                                                                                      • 3. Configure an agent to use branch-based scope
                                                                                                                        • 4. Configure an agent to be invoked in a CI workflow
                                                                                                                          • 5. Configure an agent's scope to a specific repository
                                                                                                                            • 6. Evaluate the execution context for an agent
                                                                                                                              - Select and configure agent tools
                                                                                                                              • 1. Configure agent tool permissions
                                                                                                                                • 2. Configure agent tools
                                                                                                                                  • 3. Identify required tools

                                                                                                                                    Microsoft Developing in Agentic AI Systems Sample Questions:

                                                                                                                                    Question #1

                                                                                                                                    You have multiple GitHub Copilot coding agents that run tasks concurrently.
                                                                                                                                    You live stream the session log output and see the following.
                                                                                                                                    * agent execution (ID 987654321)
                                                                                                                                    Run ./scripts/agent-run.sh
                                                                                                                                    --------------------------------
                                                                                                                                    [agent] Starting task: Clean up infra configs
                                                                                                                                    [agent] Executing step: Remove unused files
                                                                                                                                    rm -rf /infra
                                                                                                                                    Error: Command blocked by policy
                                                                                                                                    Reason: destructive_operation_detected
                                                                                                                                    [agent] Escalating to human review...
                                                                                                                                    X Run agent task
                                                                                                                                    X Process completed with exit code 1
                                                                                                                                    X agent-execution failed
                                                                                                                                    What is a possible cause of the error?

                                                                                                                                    • A. a GitHub app installation policy
                                                                                                                                    • B. a Copilot firewall policy
                                                                                                                                    • C. a preToolUse hook
                                                                                                                                    • D. a postToolUse hook
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: C  🗳️

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                                                                                                                                    Question #2

                                                                                                                                    You need to resolve the issue of the agents generating conflicting output. The solution must meet the implementation guidelines.
                                                                                                                                    What should you do?

                                                                                                                                    • A. Configure each agent to work on a separate branch and add a required status check that detects file-level overlap before either pull request can be merged.
                                                                                                                                    • B. Configure a concurrency group on both agent workflows so that only one workflow runs at a time.
                                                                                                                                    • C. Configure tools: ['read', 'search'] in both agent profiles to prevent either agent from writing files.
                                                                                                                                    • D. Add shared/config.yaml to a CODEOWNERS file that requires SG_Review approval before any changes can be merged.
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: A  🗳️

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                                                                                                                                    Question #3

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

                                                                                                                                    Correct Answer: A  🗳️

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                                                                                                                                    Question #4

                                                                                                                                    You have a repository that uses a GitHub Actions workflow to run an agent-driven change plan as part of a CI pipeline. The workflow generates an artifact named plan.json that includes a field named risk. Risk has possible values of low, medium, or high.
                                                                                                                                    You need to ensure that a human must confirm the execution of the workflow when risk is medium or high. The workflow must proceed automatically only when risk is low.
                                                                                                                                    How should you complete the workflow? To answer, drag the appropriate values to the correct targets.

                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer:

                                                                                                                                    Question #5

                                                                                                                                    While upgrading App1, the agent identifies 47 issues, including a security vulnerability, and 46 API incompatibilities across different projects.
                                                                                                                                    Which two actions are unsafe to delegate to the agent and require human involvement? Each correct answer presents a complete solution.
                                                                                                                                    NOTE: Each correct selection is worth one point.

                                                                                                                                    • A. Validate whether the tasks.md file exists.
                                                                                                                                    • B. Approve all Git commits.
                                                                                                                                    • C. Review the plan.md file for dependencies.
                                                                                                                                    • D. Generate the assessment.md file.
                                                                                                                                    • E. Validate the assessment.md file for accuracy.
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: B,E  🗳️

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