Microsoft GH-600 Q&A - in .pdf

  • Exam Code: GH-600
  • Exam Name: Developing in Agentic AI Systems
  • Updated: Sep 18, 2026
  • Q & A: 111 Questions and Answers
  • PDF Price: $59.99
  • Printable Microsoft GH-600 PDF Format. It is an electronic file format regardless of the operating system platform.
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Microsoft GH-600 Q&A - Testing Engine

  • 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
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. 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. Align evaluation criteria with development intent
              • 2. Generate evaluation signals by using automated scanning tools
                • 3. Identify qualitative and quantitative evaluation signals to evaluate agents
                  • 4. Specify expected outcomes and operational constraints for agent tasks
                    Prepare agent architecture and SDLC processes15-20%- Define boundaries between planning, reasoning, and action
                    • 1. Configure agent planning to be distinct from agent execution
                      • 2. Prevent agent action until the agent checked and approved
                        • 3. Configure an agent to output a structured plan
                          • 4. Validate agent plans
                            - Integrate agents into the software development lifecycle (SDLC)
                            • 1. Identify steps for agents to perform
                              • 2. Identify and mitigate common anti-patterns in agents
                                • 3. Define inputs, outputs, and success criteria for agents
                                  - Configure observability and control for autonomous agents
                                  • 1. Configure human intervention for autonomous agents without slowing delivery
                                    • 2. Plan and implement the degree of agent autonomy, including guardrails
                                      • 3. Configure agents to produce inspectable artifacts within standard development tooling
                                        Manage memory, state, and execution10-15%- Implement agent memory strategies
                                        • 1. Define memory expiration, pruning, and reset rules
                                          • 2. Scope agent memory to task-relevant information
                                            • 3. Choose between short-term, long-term, and external memory
                                              - Ensure continuity of agent memory and state across tools and environments
                                              • 1. Prevent stale context
                                                • 2. Prevent conflicting context
                                                  • 3. Share agent state
                                                    - 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
                                                          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
                                                                - Configure observability for multi-agent behavior by using logs, artifacts, and operational signals
                                                                • 1. Document key decisions, handoffs, and outcomes across agents
                                                                  • 2. Configure multi-agent workflows to produce artifacts suitable for review and audit
                                                                    • 3. Perform post-hoc analysis of multi-agent behavior
                                                                      - Detect and respond to multi-agent failures and degraded behavior
                                                                      • 1. Identify failed, partial, or stalled agent executions
                                                                        • 2. Respond to degraded behavior or coordination across agents
                                                                          • 3. Implement multi-agent recovery patterns, including rollback and human-in-the-loop
                                                                            - 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
                                                                                  Implement tool use and environment interaction20-25%- Integrate agents within development environments
                                                                                  • 1. Configure an agent to be invoked in a CI workflow
                                                                                    • 2. Configure an agent to use branch-based scope
                                                                                      • 3. Configure an agent to handle environment-specific constraints
                                                                                        • 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
                                                                                              - Operate agents with safe execution paths and robust error handling
                                                                                              • 1. Implement escalation paths
                                                                                                • 2. Implement retries
                                                                                                  • 3. Implement traceability and accountability for agent actions
                                                                                                    • 4. Implement error handling
                                                                                                      • 5. Implement rollbacks
                                                                                                        - Configure MCP servers
                                                                                                        • 1. Configure the 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
                                                                                                                - Select and configure agent tools
                                                                                                                • 1. Configure agent tool permissions
                                                                                                                  • 2. Identify required tools
                                                                                                                    • 3. Configure agent tools
                                                                                                                      Implement guardrails and accountability10-15%- Implement guardrails and human-in-the-loop workflows
                                                                                                                      • 1. Identify the subset of actions that require human judgment
                                                                                                                        • 2. Require explicit authorization or controlled paths for irreversible or compliance-sensitive changes
                                                                                                                          • 3. Preserve execution velocity by minimizing approvals that do not materially reduce risk
                                                                                                                            • 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

                                                                                                                                    Microsoft Developing in Agentic AI Systems Sample Questions:

                                                                                                                                    Question #1

                                                                                                                                    You have a GitHub repository that uses GitHub Copilot code review on pull requests.
                                                                                                                                    You plan to add repository-wide code review guidance that will apply to all files.
                                                                                                                                    You need Copilot code review to consistently apply the guidance during pull request reviews.
                                                                                                                                    What should you do?

                                                                                                                                    • A. Update the instructions in the .github/agents/*.agent.md files.
                                                                                                                                    • B. Modify the .github/pull_request_template.md file.
                                                                                                                                    • C. Create a .github/copilot-instructions.md file.
                                                                                                                                    • D. Create a .github/instructions/copilot.instructions.md file.
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: C  🗳️

                                                                                                                                    Explanation: Only visible for Prep4sureGuide members. You can sign-up / login (it's free).

                                                                                                                                    Question #2

                                                                                                                                    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 #3

                                                                                                                                    You have a GitHub Enterprise Cloud repository that uses GitHub Actions for CI and requires pull requests for all changes.
                                                                                                                                    You are planning a GitHub Actions workflow where a coding agent drafts implementation changes and tests from GitHub issues, and an automated review runs before human review.
                                                                                                                                    You need the agent to draft changes from an assigned issue, open a pull request, and add an automated review to the pull request before requesting a human review.
                                                                                                                                    What should you do? 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 #4

                                                                                                                                    You need to resolve the scoping issue associated to agent1.
                                                                                                                                    What should you do?

                                                                                                                                    • A. Create a fine-grained personal access token (PAT) scoped to product-api and store the PAT as a GitHub Actions secret for agent1 to use.
                                                                                                                                    • B. Add a permissions block to the agent1 workflow in product-api.
                                                                                                                                    • C. To the profile of agent1, add a custom instruction specifying that the agent must NOT access billing-service or infra-terraform.
                                                                                                                                    • D. Create a ruleset for billing-service and infra-terraform that blocks push access from the github-actions bot account.
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: A  🗳️

                                                                                                                                    Explanation: Only visible for Prep4sureGuide members. You can sign-up / login (it's free).

                                                                                                                                    Question #5

                                                                                                                                    You are architecting an agentic AI system and need the agent's tool-calling behavior to be constrained so it can only call a specific allow-listed set of MCP tools, never arbitrary ones. What should you configure?

                                                                                                                                    • A. Tool/server allow-list in the MCP client configuration
                                                                                                                                    • B. Repository ruleset
                                                                                                                                    • C. /usage
                                                                                                                                    • D. .copilotignore
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: A  🗳️

                                                                                                                                    Explanation: Only visible for Prep4sureGuide members. You can sign-up / login (it's free).

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