Microsoft Developing in Agentic AI Systems : GH-600

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

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Microsoft GH-600 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement guardrails and accountability10-15%- 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
      - 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. Preserve execution velocity by minimizing approvals that do not materially reduce risk
              • 5. Identify the subset of actions that require human judgment
                Topic 2: Manage memory, state, and execution10-15%- 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
                      - Ensure continuity of agent memory and state across tools and environments
                      • 1. Share agent state
                        • 2. Prevent stale context
                          • 3. Prevent conflicting context
                            - Implement agent memory strategies
                            • 1. Define memory expiration, pruning, and reset rules
                              • 2. Choose between short-term, long-term, and external memory
                                • 3. Scope agent memory to task-relevant information
                                  Topic 3: Orchestrate multi-agent coordination15-20%- Manage the lifecycle of agents within multi-agent workflows
                                  • 1. Add agents to existing multi-agent workflows
                                    • 2. Retire agents while preserving auditability and workflow continuity
                                      • 3. Update, reconfigure, or replace agents without disrupting active workflows
                                        - Operate and manage multi-agent workflows
                                        • 1. Apply an orchestration pattern to coordinate multiple agents
                                          • 2. Detect and resolve agent conflicts, including overlapping code changes, duplicated effort, and contradictory outputs
                                            • 3. Configure agent isolation for parallel execution
                                              - Detect and respond to multi-agent failures and degraded behavior
                                              • 1. Implement multi-agent recovery patterns, including rollback and human-in-the-loop
                                                • 2. Respond to degraded behavior or coordination across agents
                                                  • 3. Identify failed, partial, or stalled agent executions
                                                    - Configure observability for multi-agent behavior by using logs, artifacts, and operational signals
                                                    • 1. Document key decisions, handoffs, and outcomes across agents
                                                      • 2. Perform post-hoc analysis of multi-agent behavior
                                                        • 3. Configure multi-agent workflows to produce artifacts suitable for review and audit
                                                          Topic 4: Prepare agent architecture and SDLC processes15-20%- Integrate agents into the software development lifecycle (SDLC)
                                                          • 1. Identify and mitigate common anti-patterns in agents
                                                            • 2. Identify steps for agents to perform
                                                              • 3. Define inputs, outputs, and success criteria for agents
                                                                - Define boundaries between planning, reasoning, and action
                                                                • 1. Validate agent plans
                                                                  • 2. Configure an agent to output a structured plan
                                                                    • 3. Configure agent planning to be distinct from agent execution
                                                                      • 4. Prevent agent action until the agent checked and approved
                                                                        - Configure observability and control for autonomous agents
                                                                        • 1. Configure agents to produce inspectable artifacts within standard development tooling
                                                                          • 2. Configure human intervention for autonomous agents without slowing delivery
                                                                            • 3. Plan and implement the degree of agent autonomy, including guardrails
                                                                              Topic 5: Implement tool use and environment interaction20-25%- 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 escalation paths
                                                                                      • 2. Implement error handling
                                                                                        • 3. Implement retries
                                                                                          • 4. Implement traceability and accountability for agent actions
                                                                                            • 5. Implement rollbacks
                                                                                              - Configure MCP servers
                                                                                              • 1. Add an MCP server as a tool to an agent
                                                                                                • 2. Configure the MCP registries
                                                                                                  • 3. Configure MCP allow lists
                                                                                                    • 4. Configure a GitHub remote MCP server
                                                                                                      - Integrate agents within development environments
                                                                                                      • 1. Evaluate the execution context for an agent
                                                                                                        • 2. Configure an agent to handle environment-specific constraints
                                                                                                          • 3. Enable an agent to perform autonomous actions, including creating branches and pull requests
                                                                                                            • 4. Configure an agent to use branch-based scope
                                                                                                              • 5. Configure an agent to be invoked in a CI workflow
                                                                                                                • 6. Configure an agent's scope to a specific repository
                                                                                                                  Topic 6: Perform evaluation, error analysis, and tuning15-20%- 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. Specify expected outcomes and operational constraints for agent tasks
                                                                                                                        • 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. 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

                                                                                                                                    Microsoft Developing in Agentic AI Systems Sample Questions:

                                                                                                                                    Question #1

                                                                                                                                    While using agent mode in VS Code, you want Copilot to run a specific test suite as a validation step after making changes, without manually invoking the terminal each time. What feature enables this?

                                                                                                                                    • A. .copilotignore
                                                                                                                                    • B. MCP server integration
                                                                                                                                    • C. Tool/terminal invocation permissions in agent mode
                                                                                                                                    • D. CODEOWNERS
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: C  🗳️

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

                                                                                                                                    Question #2

                                                                                                                                    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:

                                                                                                                                    Question #3

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

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

                                                                                                                                    Correct Answer: C  🗳️

                                                                                                                                    Question #4

                                                                                                                                    You need to provide access to the API key of MCP1. The solution must meet the security requirements.
                                                                                                                                    What should you do?

                                                                                                                                    • A. Store the API key as a GitHub Codespaces user secret scoped to product-api.
                                                                                                                                    • B. Store the API key as a secret in the Copilot environment of product-api by using a name prefix of COPILOT_MCP_, and then reference the variable name in the mcp.json configuration.
                                                                                                                                    • C. In the product-api repository settings, add the API key directly to the .mcp/server.json file by using a plaintext apiKey field.
                                                                                                                                    • D. In product-api, add the API key as a GitHub Actions encrypted secret and reference the secret by using ${{ secrets.KEY }} in the workflow YAML of agent1.
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: B  🗳️

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

                                                                                                                                    Question #5

                                                                                                                                    A team assigns an issue to the GitHub Copilot coding agent by using the following one-line description: Fix the login bug.
                                                                                                                                    Copilot creates a pull request, but the pull request is missing changes and has an incorrect scope.
                                                                                                                                    How should you resolve the issue?

                                                                                                                                    • A. Update the Model Context Protocol (MCP) server rate limits.
                                                                                                                                    • B. Add a clear description of the problem to the issue.
                                                                                                                                    • C. Enable Copilot memory.
                                                                                                                                    • D. Allocate more resources to copilot-setup-steps.yml.
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: B  🗳️

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

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