Exam Code: GH-600
Exam Name: Developing in Agentic AI Systems
Certification Provider: Microsoft
Corresponding Certification: GitHub Administrator
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Microsoft GH-600 Exam Syllabus Topics:

SectionWeightObjectives
Implement tool use and environment interaction20-25%- Operate agents with safe execution paths and robust error handling
  • 1. Implement traceability and accountability for agent actions
    • 2. Implement error handling
      • 3. Implement escalation paths
        • 4. Implement rollbacks
          • 5. Implement retries
            - Integrate agents within development environments
            • 1. Configure an agent to use branch-based scope
              • 2. Configure an agent's scope to a specific repository
                • 3. Evaluate the execution context for an agent
                  • 4. Enable an agent to perform autonomous actions, including creating branches and pull requests
                    • 5. Configure an agent to be invoked in a CI workflow
                      • 6. Configure an agent to handle environment-specific constraints
                        - Select and configure agent tools
                        • 1. Identify required tools
                          • 2. Configure agent tool permissions
                            • 3. Configure agent tools
                              - Configure MCP servers
                              • 1. Configure a GitHub remote MCP server
                                • 2. Configure MCP allow lists
                                  • 3. Add an MCP server as a tool to an agent
                                    • 4. Configure the MCP registries
                                      Perform evaluation, error analysis, and tuning15-20%- 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. 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
                                                    - 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
                                                        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
                                                              - Configure observability and control for autonomous agents
                                                              • 1. Plan and implement the degree of agent autonomy, including guardrails
                                                                • 2. Configure agents to produce inspectable artifacts within standard development tooling
                                                                  • 3. Configure human intervention for autonomous agents without slowing delivery
                                                                    - Define boundaries between planning, reasoning, and action
                                                                    • 1. Prevent agent action until the agent checked and approved
                                                                      • 2. Validate agent plans
                                                                        • 3. Configure an agent to output a structured plan
                                                                          • 4. Configure agent planning to be distinct from agent execution
                                                                            Orchestrate multi-agent coordination15-20%- 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
                                                                                  - 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
                                                                                        - 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
                                                                                              - 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
                                                                                                    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. Scope permissions and execution contexts to enforce least-privilege access
                                                                                                          • 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
                                                                                                              - 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
                                                                                                                  Manage memory, state, and execution10-15%- Implement agent memory strategies
                                                                                                                  • 1. Choose between short-term, long-term, and external memory
                                                                                                                    • 2. Define memory expiration, pruning, and reset rules
                                                                                                                      • 3. Scope agent memory to task-relevant information
                                                                                                                        - Ensure continuity of agent memory and state across tools and environments
                                                                                                                        • 1. Prevent stale context
                                                                                                                          • 2. Share agent state
                                                                                                                            • 3. Prevent conflicting context
                                                                                                                              - Persist agent state and manage context drift
                                                                                                                              • 1. Capture task progress and decisions as durable artifacts
                                                                                                                                • 2. Resume agent work without repeating steps or diverging from prior decisions
                                                                                                                                  • 3. Detect and correct drift during extended agent execution

                                                                                                                                    Microsoft Developing in Agentic AI Systems Sample Questions:

                                                                                                                                    You need to configure agent1 to support the planned changes.
                                                                                                                                    What should you do?

                                                                                                                                    • A. In the agent configuration, replace line 05 with the following: tools: []
                                                                                                                                    • B. Add the mcp-servers property to the agent configuration.
                                                                                                                                    • C. Add Use all available tools to the instructions in the agent configuration.
                                                                                                                                    • D. Add Use all available tools to the .github/copilot-instructions.md file.
                                                                                                                                    • E. Delete line 05 from the agent configuration.
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: B  🗳️

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

                                                                                                                                    You have a GitHub Copilot coding agent named CodeAgent. The .agent.md file of CodeAgent contains the following YAML frontmatter.
                                                                                                                                    name: CodeAgent
                                                                                                                                    description: Performs repository analysis and code review tasks.
                                                                                                                                    tools: ['edit', 'execute', 'read', 'search']
                                                                                                                                    You need to issue a GitHub Copilot CLI command that preserves execution velocity for read-only tasks by eliminating approval prompts for low-risk tools. The solution must ensure that high-risk tools that can make changes remain available but still require explicit user approval before running.
                                                                                                                                    Which command should you run?

                                                                                                                                    • A. copilot agent run CodeAgent --allow-all-tools
                                                                                                                                    • B. copilot agent run CodeAgent
                                                                                                                                    • C. copilot agent run CodeAgent --allow-tool 'read,search'
                                                                                                                                    • D. copilot agent run CodeAgent --deny-tool 'edit,execute'
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: C  🗳️

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

                                                                                                                                    You need finer control, selecting specific files and describing precise natural-language changes to apply, rather than letting the agent decide the full scope of changes. Which Copilot Chat mode should you use?

                                                                                                                                    • A. Agent mode
                                                                                                                                    • B. Ask mode
                                                                                                                                    • C. Edit mode
                                                                                                                                    • D. Plan mode
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: C  🗳️

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

                                                                                                                                    You have a GitHub Actions workflow that runs GitHub Copilot-driven integration tests across multiple jobs.
                                                                                                                                    You need to persist the agent memory/state so that it remains available across the jobs.
                                                                                                                                    What should you do?

                                                                                                                                    • A. Use the runner's memory to retain the workspace between jobs.
                                                                                                                                    • B. Add the agent state directory to the repository and commit the changes at the end of each job.
                                                                                                                                    • C. Upload the agent state as a workflow artifact and download the artifact in subsequent jobs.
                                                                                                                                    • D. Write the agent state to environment variables.
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: C  🗳️

                                                                                                                                    Explanation: Only visible for ITPassLeader 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:

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