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Microsoft GH-600 Exam Syllabus Topics:

SectionWeightObjectives
Perform evaluation, error analysis, and tuning15–20%- Tune agent behavior based on evaluation results
  • 1. Refine tool usage and tool access
    • 2. Revise instructions, workflows, or constraints
      • 3. Refine memory usage
        - 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
            - 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. Identify qualitative and quantitative evaluation signals to evaluate agents
                  • 4. Generate evaluation signals by using automated scanning tools
                    Implement tool use and environment interaction20–25%- Operate agents with safe execution paths and robust error handling
                    • 1. Implement retries
                      • 2. Implement escalation paths
                        • 3. Implement error handling
                          • 4. Implement traceability and accountability for agent actions
                            • 5. Implement rollbacks
                              - Configure MCP servers
                              • 1. Configure MCP allow lists
                                • 2. Add an MCP server as a tool to an agent
                                  • 3. Configure MCP registries
                                    • 4. Configure a GitHub remote MCP server
                                      - Select and configure agent tools
                                      • 1. Identify required tools
                                        • 2. Configure agent tools
                                          • 3. Configure agent tool permissions
                                            - Integrate agents within development environments
                                            • 1. Configure an agent's scope to a specific repository
                                              • 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 be invoked in a CI workflow
                                                      • 6. Configure an agent to use branch-based scope
                                                        Prepare agent architecture and SDLC processes15–20%- Define boundaries between planning, reasoning, and action
                                                        • 1. Configure an agent to output a structured plan
                                                          • 2. Validate agent plans
                                                            • 3. Prevent agent action until the agent checks and approves
                                                              • 4. Configure agent planning to be distinct from agent execution
                                                                - 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
                                                                      - 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%- 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. 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. Choose between short-term, long-term, and external memory
                                                                                          • 2. Scope agent memory to task-relevant information
                                                                                            • 3. Define memory expiration, pruning, and reset rules
                                                                                              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. Require explicit authorization or controlled paths for irreversible or compliance-sensitive changes
                                                                                                  • 3. Scope permissions and execution contexts to enforce least-privilege access
                                                                                                    • 4. Identify the subset of actions that require human judgment
                                                                                                      • 5. Preserve execution velocity by minimizing approvals that do not materially reduce risk
                                                                                                        - 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
                                                                                                            Orchestrate multi-agent coordination15–20%- 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
                                                                                                                        - 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. Apply an orchestration pattern to coordinate multiple agents
                                                                                                                                • 2. Configure agent isolation for parallel execution
                                                                                                                                  • 3. Detect and resolve agent conflicts, including overlapping code changes, duplicated effort, and contradictory outputs

                                                                                                                                    Microsoft Developing in Agentic AI Systems Sample Questions:

                                                                                                                                    You have a GitHub repository that uses GitHub Actions for CI.
                                                                                                                                    Your team is piloting the GitHub Copilot coding agent to autonomously create branches and open pull requests. The repository follows trunk-based development that uses main as the default branch.
                                                                                                                                    You need to ensure that the agent meets the following requirements:
                                                                                                                                    Changes to main can occur only by using pull requests that have at least one approval.
                                                                                                                                    When a pull request is opened, a validation workflow runs.
                                                                                                                                    How should you configure the repository? To answer, select the appropriate options in the answer area.

                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer:

                                                                                                                                    You need to enable Copilot memory to support the planned changes.
                                                                                                                                    What should you configure?

                                                                                                                                    • A. The personal Copilot settings of each developer
                                                                                                                                    • B. The Copilot settings of the organization
                                                                                                                                    • C. The agent profile of agent1
                                                                                                                                    • D. The Copilot settings of each repository
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: B  🗳️

                                                                                                                                    Explanation: Only visible for Actual4dump members. You can sign-up / login (it's free).

                                                                                                                                    You have a GitHub Enterprise repository.
                                                                                                                                    An agent opens pull requests to the main branch.
                                                                                                                                    You need to ensure that changes to .github/workflows/* and /infra/* require approval from designated reviewers before merge.
                                                                                                                                    What should you configure?

                                                                                                                                    • A. a branch protection rule and copilot-instructions.md
                                                                                                                                    • B. a ruleset and an agents.md file
                                                                                                                                    • C. a ruleset and a .copilotignore file
                                                                                                                                    • D. a branch protection rule and a CODEOWNERS file
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: D  🗳️

                                                                                                                                    Explanation: Only visible for Actual4dump members. You can sign-up / login (it's free).

                                                                                                                                    You are evaluating the logs of the multi-agent workflow in repo2.
                                                                                                                                    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:

                                                                                                                                    You have a GitHub repository that uses the GitHub Copilot coding agent to resolve issues and create draft pull requests. The repository uses GitHub Actions for CI, and reviewers rely on pull request timelines and workflow artifacts to understand what the agent did.
                                                                                                                                    During long-running agent tasks, the reviewers lose track of decisions and validation steps, which causes repeated questions and reworks when context drifts between iterations.
                                                                                                                                    You need to persist task progress and decisions as durable artifacts and ensure that the reviewers can verify what the agent did during and after execution by using GitHub as the system of record.
                                                                                                                                    What should you do for each requirement? To answer, drag the appropriate actions to the correct requirements. Each action may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
                                                                                                                                    NOTE: Each correct selection is worth one point.

                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer:

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