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
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. Scope permissions and execution contexts to enforce least-privilege access
          • 3. Identify the subset of actions that require human judgment
            • 4. Require explicit authorization or controlled paths for irreversible or compliance-sensitive changes
              • 5. Preserve execution velocity by minimizing approvals that do not materially reduce risk
                Topic 2: Manage memory, state, and execution10-15%- 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
                      - Ensure continuity of agent memory and state across tools and environments
                      • 1. Share agent state
                        • 2. Prevent stale context
                          • 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
                                  Topic 3: 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. Add agents to existing multi-agent workflows
                                      • 3. Retire agents while preserving auditability and workflow continuity
                                        - Configure observability for multi-agent behavior by using logs, artifacts, and operational signals
                                        • 1. Perform post-hoc analysis of multi-agent behavior
                                          • 2. Configure multi-agent workflows to produce artifacts suitable for review and audit
                                            • 3. Document key decisions, handoffs, and outcomes across agents
                                              - 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
                                                    - Detect and respond to multi-agent failures and degraded behavior
                                                    • 1. Respond to degraded behavior or coordination across agents
                                                      • 2. Identify failed, partial, or stalled agent executions
                                                        • 3. Implement multi-agent recovery patterns, including rollback and human-in-the-loop
                                                          Topic 4: Implement tool use and environment interaction20-25%- Operate agents with safe execution paths and robust error handling
                                                          • 1. Implement error handling
                                                            • 2. Implement retries
                                                              • 3. Implement rollbacks
                                                                • 4. Implement traceability and accountability for agent actions
                                                                  • 5. Implement escalation paths
                                                                    - Select and configure agent tools
                                                                    • 1. Configure agent tool permissions
                                                                      • 2. Identify required tools
                                                                        • 3. Configure agent tools
                                                                          - Integrate agents within development environments
                                                                          • 1. Enable an agent to perform autonomous actions, including creating branches and pull requests
                                                                            • 2. Configure an agent to use branch-based scope
                                                                              • 3. Evaluate the execution context for an agent
                                                                                • 4. Configure an agent to handle environment-specific constraints
                                                                                  • 5. Configure an agent's scope to a specific repository
                                                                                    • 6. Configure an agent to be invoked in a CI workflow
                                                                                      - Configure MCP servers
                                                                                      • 1. Configure the MCP registries
                                                                                        • 2. Configure a GitHub remote MCP server
                                                                                          • 3. Configure MCP allow lists
                                                                                            • 4. Add an MCP server as a tool to an agent
                                                                                              Topic 5: Prepare agent architecture and SDLC processes15-20%- Integrate agents into the software development lifecycle (SDLC)
                                                                                              • 1. Define inputs, outputs, and success criteria for agents
                                                                                                • 2. Identify steps for agents to perform
                                                                                                  • 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. Validate agent plans
                                                                                                        • 3. Configure an agent to output a structured plan
                                                                                                          • 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. Plan and implement the degree of agent autonomy, including guardrails
                                                                                                                • 3. Configure human intervention for autonomous agents without slowing delivery
                                                                                                                  Topic 6: Perform evaluation, error analysis, and tuning15-20%- 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. 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. Refine tool usage and tool access
                                                                                                                                • 2. Revise instructions, workflows, or constraints
                                                                                                                                  • 3. Refine memory usage

                                                                                                                                    Microsoft Developing in Agentic AI Systems Sample Questions:

                                                                                                                                    You have a GitHub Enterprise organization that uses GitHub Copilot.
                                                                                                                                    You discover that GitHub Copilot Chat responses in Microsoft Visual Studio Code are influenced by earlier, unrelated troubleshooting prompts from the same conversation.
                                                                                                                                    You need to ensure that the Copilot Chat conversation context is limited to information relevant to the current work item. The solution must minimize effort.
                                                                                                                                    What should you do? To answer, select the appropriate options in the answer area.

                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer:

                                                                                                                                    You are architecting an agentic AI system and need the agent's tool-calling behavior to be constrained so it can only call a specific allow-listed set of MCP tools, never arbitrary ones. What should you configure?

                                                                                                                                    • A. Repository ruleset
                                                                                                                                    • B. Tool/server allow-list in the MCP client configuration
                                                                                                                                    • C. /usage
                                                                                                                                    • D. .copilotignore
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: B  🗳️

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

                                                                                                                                    You have a GitHub Enterprise organization that uses GitHub Copilot.
                                                                                                                                    You discover that GitHub Copilot Chat responses in Microsoft Visual Studio Code are influenced by earlier, unrelated troubleshooting prompts from the same conversation.
                                                                                                                                    You need to ensure that the Copilot Chat conversation context is limited to information relevant to the current work item. The solution must minimize effort.
                                                                                                                                    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:

                                                                                                                                    You have a GitHub repository that uses the GitHub Copilot coding agent to resolve issues and create draft pull requests.
                                                                                                                                    You assign an issue to Copilot. Copilot creates a draft pull request. The pull request timeline shows Copilot started work, followed by status updates. The most recent status update is 55 minutes old.
                                                                                                                                    You discover that the agent is no longer making progress.
                                                                                                                                    You need to ensure that the work resumes without redoing the completed steps or changing the previously chosen approach.
                                                                                                                                    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:

                                                                                                                                    Your company uses GitHub Copilot Enterprise.
                                                                                                                                    Developers use GitHub Copilot agent mode in Microsoft Visual Studio Code on their laptops and Copilot Chat on github.com when they are away from their laptops.
                                                                                                                                    When switching between environments, the developers notice that agent workflows lose continuity because the tools available in Visual Studio Code are unavailable on github.com.
                                                                                                                                    You need to ensure that the agent tools and state are available consistently across environments and can be used from any device without local setup.
                                                                                                                                    What should you do for each requirement? To answer, drag the appropriate actions to the correct requirements.

                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer:

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