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
Manage memory, state, and execution10-15%- 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. 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. Share agent state
                • 2. Prevent stale context
                  • 3. Prevent conflicting context
                    Implement tool use and environment interaction20-25%- Select and configure agent tools
                    • 1. Configure agent tool permissions
                      • 2. Identify required tools
                        • 3. Configure agent tools
                          - Integrate agents within development environments
                          • 1. Configure an agent to be invoked in a CI workflow
                            • 2. Evaluate the execution context for an agent
                              • 3. Configure an agent to use branch-based scope
                                • 4. Configure an agent's scope to a specific repository
                                  • 5. Enable an agent to perform autonomous actions, including creating branches and pull requests
                                    • 6. Configure an agent to handle environment-specific constraints
                                      - Configure MCP servers
                                      • 1. Configure MCP allow lists
                                        • 2. Configure the MCP registries
                                          • 3. Add an MCP server as a tool to an agent
                                            • 4. Configure a GitHub remote MCP server
                                              - Operate agents with safe execution paths and robust error handling
                                              • 1. Implement error handling
                                                • 2. Implement traceability and accountability for agent actions
                                                  • 3. Implement escalation paths
                                                    • 4. Implement retries
                                                      • 5. Implement rollbacks
                                                        Orchestrate multi-agent coordination15-20%- Manage the lifecycle of agents within multi-agent workflows
                                                        • 1. Add agents to existing multi-agent workflows
                                                          • 2. Update, reconfigure, or replace agents without disrupting active workflows
                                                            • 3. Retire agents while preserving auditability and workflow continuity
                                                              - 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
                                                                    - Operate and manage multi-agent workflows
                                                                    • 1. Detect and resolve agent conflicts, including overlapping code changes, duplicated effort, and contradictory outputs
                                                                      • 2. Configure agent isolation for parallel execution
                                                                        • 3. Apply an orchestration pattern to coordinate multiple agents
                                                                          - 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
                                                                                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. Generate evaluation signals by using automated scanning tools
                                                                                        • 3. Align evaluation criteria with development intent
                                                                                          • 4. Identify qualitative and quantitative evaluation signals to evaluate agents
                                                                                            - Tune agent behavior based on evaluation results
                                                                                            • 1. Refine memory usage
                                                                                              • 2. Refine tool usage and tool access
                                                                                                • 3. Revise instructions, workflows, or constraints
                                                                                                  Prepare agent architecture and SDLC processes15-20%- 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
                                                                                                        - Define boundaries between planning, reasoning, and action
                                                                                                        • 1. Prevent agent action until the agent checked and approved
                                                                                                          • 2. Configure agent planning to be distinct from agent execution
                                                                                                            • 3. Validate agent plans
                                                                                                              • 4. Configure an agent to output a structured plan
                                                                                                                - 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
                                                                                                                      Implement guardrails and accountability10-15%- Implement guardrails and human-in-the-loop workflows
                                                                                                                      • 1. Scope permissions and execution contexts to enforce least-privilege access
                                                                                                                        • 2. Preserve execution velocity by minimizing approvals that do not materially reduce risk
                                                                                                                          • 3. Require explicit authorization or controlled paths for irreversible or compliance-sensitive changes
                                                                                                                            • 4. Identify the subset of actions that require human judgment
                                                                                                                              • 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

                                                                                                                                    Microsoft Developing in Agentic AI Systems Sample Questions:

                                                                                                                                    You have a GitHub repository that uses GitHub Actions to validate pull requests opened by the GitHub Copilot coding agent. The workflow runs unit tests and a linter on pull request triggers, and Copilot opens draft pull requests on dedicated branches while iterating by using commits.
                                                                                                                                    You discover that when multiple Copilot sessions push updates to the same pull request branch in quick succession, multiple workflow runs execute concurrently.
                                                                                                                                    You need to enable parallel workflow executions across different pull request branches.
                                                                                                                                    How should you configure workflow-level concurrency? 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 need to resolve the scoping issue associated to agent1.
                                                                                                                                    What should you do?

                                                                                                                                    • A. Create a fine-grained personal access token (PAT) scoped to product-api and store the PAT as a GitHub Actions secret for agent1 to use.
                                                                                                                                    • B. Add a permissions block to the agent1 workflow in product-api.
                                                                                                                                    • C. To the profile of agent1, add a custom instruction specifying that the agent must NOT access billing-service or infra-terraform.
                                                                                                                                    • D. Create a ruleset for billing-service and infra-terraform that blocks push access from the github-actions bot account.
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: A  🗳️

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

                                                                                                                                    You are analyzing the following agent logs.
                                                                                                                                    2026-03-19 21:00:59.905 [info] ccreq:6343bff1.copilotmd | success | gpt-5.3-codex | 10385ms | [panel/editAgent]
                                                                                                                                    2026-03-19 21:01:09.644 [info] ccreq:4612e90d.copilotmd | success | gpt-5.3-codex | 9806ms | [panel/editAgent]
                                                                                                                                    2026-03-19 21:01:09.856 [info] [ToolCallingLoop] Stop hook result: shouldContinue=false, reasons=undefined
                                                                                                                                    2026-03-19 21:01:30.816 [info] ccreq:9dcd0468.copilotmd | success | gpt-5.3-codex | 5489ms | [panel/editAgent]
                                                                                                                                    2026-03-19 21:01:31.475 [error] Error from tool mcp_microsoftdocs_microsoft_docs_search with args
                                                                                                                                    {"query":"VS Code custom agent name from frontmatter and filename behavior"}:
                                                                                                                                    Cannot read properties of undefined (reading 'invoke'):
                                                                                                                                    TypeError: Cannot read properties of undefined (reading 'invoke')
                                                                                                                                    You need to classify the error in a report for your company's CTO.
                                                                                                                                    How should you classify the error?

                                                                                                                                    • A. Reasoning error
                                                                                                                                    • B. Network issue
                                                                                                                                    • C. Tool misuse
                                                                                                                                    • D. Context issue
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: C  🗳️

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

                                                                                                                                    You have a GitHub repository that uses the GitHub Copilot coding agent to resolve issues in an ephemeral GitHub Actions environment.
                                                                                                                                    Builds fail unless an environment variable named NPM_TOKEN is available, because the repository depends on a private package registry.
                                                                                                                                    A workflow named .github/workflows/copilot-setup-steps.yml was added but was merged into a non-default branch and does NOT run when new agent sessions start.
                                                                                                                                    You need to ensure that for every new agent session, the setup steps run, and the private registry token is available as NPM_TOKEN, without hardcoding secrets in the repository.
                                                                                                                                    What should you do?

                                                                                                                                    • A. Create an organization-level Actions secret named NPM_TOKEN and reference it from .github/copilot-instructions.md.
                                                                                                                                    • B. Add the token directly under env: npm_token: in the workflow file.
                                                                                                                                    • C. Disable the agent's integrated firewall and rename the workflow.
                                                                                                                                    • D. Move .github/workflows/copilot-setup-steps.yml to the repository's default branch and store the token as a GitHub Actions environment secret named NPM_TOKEN in the Copilot environment.
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: D  🗳️

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

                                                                                                                                    You need to implement the security requirements for agent1.
                                                                                                                                    Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer:

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