GH-600 Q&As - in .pdf

GH-600 pdf
  • Exam Code: GH-600
  • Exam Name: Developing in Agentic AI Systems
  • Updated: Oct 03, 2026
  • Q & A: 111 Questions and Answers
  • PDF Price: $59.99
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  • Exam Code: GH-600
  • Exam Name: Developing in Agentic AI Systems
  • Updated: Oct 03, 2026
  • Q & A: 111 Questions and Answers
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  • Exam Code: GH-600
  • Exam Name: Developing in Agentic AI Systems
  • Updated: Oct 03, 2026
  • Q & A: 111 Questions and Answers
  • Software Price: $59.99
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Microsoft GH-600 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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. 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. Preserve execution velocity by minimizing approvals that do not materially reduce risk
            • 4. Scope permissions and execution contexts to enforce least-privilege access
              • 5. Identify the subset of actions that require human judgment
                Topic 2: Manage memory, state, and execution10-15%- Ensure continuity of agent memory and state across tools and environments
                • 1. Prevent stale context
                  • 2. Prevent conflicting 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
                            - Persist agent state and manage context drift
                            • 1. Detect and correct drift during extended agent execution
                              • 2. Resume agent work without repeating steps or diverging from prior decisions
                                • 3. Capture task progress and decisions as durable artifacts
                                  Topic 3: Orchestrate multi-agent coordination15-20%- Operate and manage multi-agent workflows
                                  • 1. Configure agent isolation for parallel execution
                                    • 2. Detect and resolve agent conflicts, including overlapping code changes, duplicated effort, and contradictory outputs
                                      • 3. Apply an orchestration pattern to coordinate multiple agents
                                        - Detect and respond to multi-agent failures and degraded behavior
                                        • 1. Respond to degraded behavior or coordination across agents
                                          • 2. Implement multi-agent recovery patterns, including rollback and human-in-the-loop
                                            • 3. Identify failed, partial, or stalled agent executions
                                              - 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
                                                    - Manage the lifecycle of agents within multi-agent workflows
                                                    • 1. Retire agents while preserving auditability and workflow continuity
                                                      • 2. Update, reconfigure, or replace agents without disrupting active workflows
                                                        • 3. Add agents to existing multi-agent workflows
                                                          Topic 4: Perform evaluation, error analysis, and tuning15-20%- 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
                                                                  - Tune agent behavior based on evaluation results
                                                                  • 1. Revise instructions, workflows, or constraints
                                                                    • 2. Refine memory usage
                                                                      • 3. Refine tool usage and tool access
                                                                        - 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 5: Implement tool use and environment interaction20-25%- Integrate agents within development environments
                                                                            • 1. Evaluate the execution context for an agent
                                                                              • 2. Enable an agent to perform autonomous actions, including creating branches and pull requests
                                                                                • 3. Configure an agent to be invoked in a CI workflow
                                                                                  • 4. Configure an agent to handle environment-specific constraints
                                                                                    • 5. Configure an agent's scope to a specific repository
                                                                                      • 6. Configure an agent to use branch-based scope
                                                                                        - Select and configure agent tools
                                                                                        • 1. Identify required tools
                                                                                          • 2. Configure agent tool permissions
                                                                                            • 3. Configure agent tools
                                                                                              - Operate agents with safe execution paths and robust error handling
                                                                                              • 1. Implement traceability and accountability for agent actions
                                                                                                • 2. Implement escalation paths
                                                                                                  • 3. Implement error handling
                                                                                                    • 4. Implement retries
                                                                                                      • 5. Implement rollbacks
                                                                                                        - Configure MCP servers
                                                                                                        • 1. Configure a GitHub remote MCP server
                                                                                                          • 2. Configure MCP allow lists
                                                                                                            • 3. Configure the MCP registries
                                                                                                              • 4. Add an MCP server as a tool to an agent
                                                                                                                Topic 6: 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. Prevent agent action until the agent checked and approved
                                                                                                                          • 3. Configure an agent to output a structured plan
                                                                                                                            • 4. Validate agent plans
                                                                                                                              - 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

                                                                                                                                    Microsoft Developing in Agentic AI Systems Sample Questions:

                                                                                                                                    Question #1

                                                                                                                                    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 #2

                                                                                                                                    You have a GitHub Enterprise repository that uses the GitHub Copilot coding agent and opens draft pull requests for assigned issues.
                                                                                                                                    Evaluation results show that the agent repeatedly opens pull requests that modify .github/workflows/*.yml to bypass failing checks instead of fixing the underlying code.
                                                                                                                                    You need to ensure that the agent fixes the underlying code instead of bypassing the failing checks.
                                                                                                                                    What should you do?

                                                                                                                                    • A. Create a branch ruleset.
                                                                                                                                    • B. Disable GitHub Actions workflows for pull requests created by the agent.
                                                                                                                                    • C. Update the .gitignore file.
                                                                                                                                    • D. Start the GitHub Copilot CLI by using --allow-all.
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: A  🗳️

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

                                                                                                                                    Question #3

                                                                                                                                    You are evaluating how agent1 will behave after you implement the planned changes.
                                                                                                                                    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 #4

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

                                                                                                                                    Correct Answer: B  🗳️

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

                                                                                                                                    Question #5

                                                                                                                                    Your team wants Copilot's suggestions to reflect knowledge of internal library APIs that are not publicly documented and not present in the codebase being edited. What is the most appropriate solution?

                                                                                                                                    • A. Add the internal docs as copilot-instructions.md
                                                                                                                                    • B. Connect an MCP server that exposes the internal documentation
                                                                                                                                    • C. Use .copilotignore to hide public APIs
                                                                                                                                    • D. Enable plan mode
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: B  🗳️

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

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