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Microsoft GH-600 Exam : Developing in Agentic AI Systems

GH-600 actual test
  • Exam Code: GH-600
  • Exam Name: Developing in Agentic AI Systems
  • Updated: Sep 18, 2026
  • Q & A: 111 Questions and Answers
  • PDF Demo
  • PC Test Engine
  • Online Test Engine
  • Total Price: $59.99  

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Microsoft GH-600 Exam Syllabus Topics:

SectionWeightObjectives
Prepare agent architecture and SDLC processes15-20%- 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
        - Define boundaries between planning, reasoning, and action
        • 1. Configure an agent to output a structured plan
          • 2. Prevent agent action until the agent checked and approved
            • 3. Configure agent planning to be distinct from agent execution
              • 4. Validate agent plans
                - Integrate agents into the software development lifecycle (SDLC)
                • 1. Identify and mitigate common anti-patterns in agents
                  • 2. Define inputs, outputs, and success criteria for agents
                    • 3. Identify steps for agents to perform
                      Implement tool use and environment interaction20-25%- Select and configure agent tools
                      • 1. Configure agent tools
                        • 2. Identify required tools
                          • 3. Configure agent tool permissions
                            - Integrate agents within development environments
                            • 1. Configure an agent to handle environment-specific constraints
                              • 2. Configure an agent's scope to a specific repository
                                • 3. Configure an agent to use branch-based scope
                                  • 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. Evaluate the execution context for an agent
                                        - Operate agents with safe execution paths and robust error handling
                                        • 1. Implement retries
                                          • 2. Implement escalation paths
                                            • 3. Implement traceability and accountability for agent actions
                                              • 4. Implement rollbacks
                                                • 5. Implement error handling
                                                  - Configure MCP servers
                                                  • 1. Configure MCP allow lists
                                                    • 2. Configure a GitHub remote MCP server
                                                      • 3. Add an MCP server as a tool to an agent
                                                        • 4. Configure the MCP registries
                                                          Implement guardrails and accountability10-15%- 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
                                                              - 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. Block actions that violate defined security, compliance, or Responsible AI policies
                                                                      • 5. Identify the subset of actions that require human judgment
                                                                        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
                                                                              - 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. Generate evaluation signals by using automated scanning tools
                                                                                    • 4. Specify expected outcomes and operational constraints for agent tasks
                                                                                      - 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
                                                                                          Manage memory, state, and execution10-15%- Ensure continuity of agent memory and state across tools and environments
                                                                                          • 1. Prevent conflicting context
                                                                                            • 2. Share agent state
                                                                                              • 3. Prevent stale context
                                                                                                - Implement agent memory strategies
                                                                                                • 1. Scope agent memory to task-relevant information
                                                                                                  • 2. Define memory expiration, pruning, and reset rules
                                                                                                    • 3. Choose between short-term, long-term, and external memory
                                                                                                      - 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
                                                                                                            Orchestrate multi-agent coordination15-20%- 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. 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
                                                                                                                        - 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
                                                                                                                              - 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

                                                                                                                                    Microsoft Developing in Agentic AI Systems Sample Questions:

                                                                                                                                    Question #1

                                                                                                                                    You have a GitHub Copilot coding agent that has completed a pull request for a security fix in your repository.
                                                                                                                                    Before merging, you need to evaluate the quality of the agent's work by using both automated evaluation signals and human review.
                                                                                                                                    You review the session log and the pull request.
                                                                                                                                    What are two automated security scanning signals available for the pull request? Each correct answer presents a complete solution.
                                                                                                                                    NOTE: Each correct selection is worth one point.

                                                                                                                                    • A. Linting errors from the repository's CI pipeline configured in GitHub Actions
                                                                                                                                    • B. The detection of hardcoded secrets, such as API keys and tokens
                                                                                                                                    • C. Dependency alerts that identify vulnerable package versions in the repository
                                                                                                                                    • D. The median time to merge metric reported on the Copilot usage metrics dashboard
                                                                                                                                    • E. CodeQL findings that identify security vulnerabilities in the generated code
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: B,E  πŸ—³οΈ

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

                                                                                                                                    Question #2

                                                                                                                                    You have a GitHub repository that uses the GitHub Copilot CLI to run autonomous tasks.
                                                                                                                                    You need to validate each generated command before it runs. Any commands that attempt to modify paths outside the repository must be blocked.
                                                                                                                                    How should you complete the YAML? To answer, drag the appropriate values to the correct targets. Each value 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

                                                                                                                                    While upgrading App1, the agent identifies 47 issues, including a security vulnerability, and 46 API incompatibilities across different projects.
                                                                                                                                    Which two actions are unsafe to delegate to the agent and require human involvement? Each correct answer presents a complete solution.
                                                                                                                                    NOTE: Each correct selection is worth one point.

                                                                                                                                    • A. Validate whether the tasks.md file exists.
                                                                                                                                    • B. Generate the assessment.md file.
                                                                                                                                    • C. Approve all Git commits.
                                                                                                                                    • D. Review the plan.md file for dependencies.
                                                                                                                                    • E. Validate the assessment.md file for accuracy.
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: C,E  πŸ—³οΈ

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

                                                                                                                                    Question #4

                                                                                                                                    You have a repository on github.com that uses the GitHub Copilot coding agent.
                                                                                                                                    You also use the GitHub Copilot CLI locally to reproduce failures and continue the same work from your terminal.
                                                                                                                                    You need to verify the current token usage.
                                                                                                                                    Which Copilot CLI slash command should you run?

                                                                                                                                    • A. /usage
                                                                                                                                    • B. /context
                                                                                                                                    • C. /compact
                                                                                                                                    • D. /diff
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: B  πŸ—³οΈ

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

                                                                                                                                    Question #5

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

                                                                                                                                    Correct Answer: D  πŸ—³οΈ

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

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