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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
        - 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
              - 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. Add agents to existing multi-agent workflows
                        • 3. Update, reconfigure, or replace agents without disrupting active workflows
                          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
                                - Persist agent state and manage context drift
                                • 1. Resume agent work without repeating steps or diverging from prior decisions
                                  • 2. Capture task progress and decisions as durable artifacts
                                    • 3. Detect and correct drift during extended agent execution
                                      - Implement agent memory strategies
                                      • 1. Scope agent memory to task-relevant information
                                        • 2. Define memory expiration, pruning, and reset rules
                                          • 3. Choose between short-term, long-term, and external memory
                                            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. Identify the subset of actions that require human judgment
                                                  • 2. Scope permissions and execution contexts to enforce least-privilege access
                                                    • 3. Require explicit authorization or controlled paths for irreversible or compliance-sensitive changes
                                                      • 4. Preserve execution velocity by minimizing approvals that do not materially reduce risk
                                                        • 5. Block actions that violate defined security, compliance, or Responsible AI policies
                                                          Implement tool use and environment interaction20-25%- Configure MCP servers
                                                          • 1. Configure MCP allow lists
                                                            • 2. Configure a GitHub remote MCP server
                                                              • 3. Add an MCP server as a tool to an agent
                                                                • 4. Configure the MCP registries
                                                                  - Integrate agents within development environments
                                                                  • 1. Configure an agent to handle environment-specific constraints
                                                                    • 2. Configure an agent to use branch-based scope
                                                                      • 3. Configure an agent's scope to a specific repository
                                                                        • 4. Configure an agent to be invoked in a CI workflow
                                                                          • 5. Evaluate the execution context for an agent
                                                                            • 6. Enable an agent to perform autonomous actions, including creating branches and pull requests
                                                                              - Select and configure agent tools
                                                                              • 1. Identify required tools
                                                                                • 2. Configure agent tools
                                                                                  • 3. Configure agent tool permissions
                                                                                    - Operate agents with safe execution paths and robust error handling
                                                                                    • 1. Implement error handling
                                                                                      • 2. Implement retries
                                                                                        • 3. Implement rollbacks
                                                                                          • 4. Implement escalation paths
                                                                                            • 5. Implement traceability and accountability for agent actions
                                                                                              Prepare agent architecture and SDLC processes15-20%- Define boundaries between planning, reasoning, and action
                                                                                              • 1. Prevent agent action until the agent checked and approved
                                                                                                • 2. Configure an agent to output a structured plan
                                                                                                  • 3. Configure agent planning to be distinct from agent execution
                                                                                                    • 4. Validate agent plans
                                                                                                      - Configure observability and control for autonomous agents
                                                                                                      • 1. Plan and implement the degree of agent autonomy, including guardrails
                                                                                                        • 2. Configure human intervention for autonomous agents without slowing delivery
                                                                                                          • 3. Configure agents to produce inspectable artifacts within standard development tooling
                                                                                                            - 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
                                                                                                                  Perform evaluation, error analysis, and tuning15-20%- Define success criteria and evaluation signals for agent tasks
                                                                                                                  • 1. Align evaluation criteria with development intent
                                                                                                                    • 2. Identify qualitative and quantitative evaluation signals to evaluate agents
                                                                                                                      • 3. Specify expected outcomes and operational constraints for agent tasks
                                                                                                                        • 4. Generate evaluation signals by using automated scanning tools
                                                                                                                          - Tune agent behavior based on evaluation results
                                                                                                                          • 1. Refine memory usage
                                                                                                                            • 2. Revise instructions, workflows, or constraints
                                                                                                                              • 3. Refine tool usage and tool access
                                                                                                                                - 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

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                                                                                                                                    Microsoft Developing in Agentic AI Systems 認定 GH-600 試験問題 (Q84-Q89):

                                                                                                                                    質問 # 84
                                                                                                                                    You assigned an issue to the Copilot coding agent, and it opened a pull request. You want to inspect exactly what code changes were made before merging. Which CLI slash command lets you view the change set directly in the terminal?

                                                                                                                                    正解：D

                                                                                                                                    解説：
                                                                                                                                    /diff shows the file-level changes the agent has made during the session, letting you review modifications before committing or merging, without leaving the terminal.


                                                                                                                                    質問 # 85
                                                                                                                                    You want to grant the Copilot coding agent access to only a narrowly scoped set of repository permissions (e.g., read code, write pull requests) rather than full admin access. What governs this scope?

                                                                                                                                    正解：C

                                                                                                                                    解説：
                                                                                                                                    The correct answer is the GITHUB_TOKEN permission configuration. GitHub uses the automatically generated GITHUB_TOKEN to authenticate workflow operations against the repository, and its authorization scope can be reduced through repository defaults and the workflow permissions key. Permissions can be set globally for a workflow or narrowed further at the individual job level. GitHub recommends granting only the minimum access necessary for the task.
                                                                                                                                    For example, a workflow that only needs repository content access and pull-request modification can explicitly grant appropriate contents and pull-requests permissions rather than broad write access. Importantly, once individual permissions are specified, unspecified permission categories are set to none, providing a concrete least-privilege security boundary. Repository or organization policy can also establish restrictive default GITHUB_TOKEN permissions.
                                                                                                                                    .copilotignore concerns which content Copilot should exclude, while copilot-instructions.md provides behavioral and coding guidance; neither is an authorization mechanism. /context reports information about the Copilot CLI context and does not control repository privileges.
                                                                                                                                    Study Guide Reference Topics: Implement Guardrails and Accountability; least-privilege authorization; tool and execution permissions; repository security boundaries; controlled agent access.


                                                                                                                                    質問 # 86
                                                                                                                                    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.

                                                                                                                                    正解：

                                                                                                                                    解説：


                                                                                                                                    質問 # 87
                                                                                                                                    You have a GitHub repository that uses GitHub Actions to run an autonomous coding-agent workflow.
                                                                                                                                    Your team requires that session logs be captured as workflow artifacts so that agent runs can be audited and traced back to a specific execution and code state.
                                                                                                                                    How should you complete the workflow? To answer, drag the appropriate values to the correct targets.

                                                                                                                                    正解：

                                                                                                                                    解説：


                                                                                                                                    質問 # 88
                                                                                                                                    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?

                                                                                                                                    正解：C

                                                                                                                                    解説：
                                                                                                                                    A properly configured branch ruleset establishes enforcement outside the agent's editable task instructions. It can require pull requests, successful checks, and appropriate reviews before changes enter protected branches. In an enterprise setup, required workflows can also be governed centrally so that changing a repository-local workflow does not remove the organization's validation requirement.
                                                                                                                                    The ruleset must be configured to preserve the intended checks. Merely creating an empty ruleset does not solve the problem, and requiring a check whose implementation the agent can freely weaken is insufficient. Protecting workflow changes through required ownership review or centrally managed validation addresses that remaining gap. The agent should not receive bypass permission for these controls.
                                                                                                                                    Option A increases authority rather than constraining the unwanted behavior. Option C removes the checks that are supposed to detect defective code. Option D affects treatment of untracked files and does not prevent changes to already tracked workflow definitions.
                                                                                                                                    The control cannot guarantee successful reasoning, but it can prevent acceptance of a shortcut that defeats validation.
                                                                                                                                    Relevant curriculum topics are blocking prohibited actions, enforcing independent controls, and correcting undesirable behavior identified through evaluation.
                                                                                                                                    Reference:


                                                                                                                                    質問 # 89
                                                                                                                                    ......

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