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Microsoft GH-600 Valid Braindumps - Developing in Agentic AI Systems

GH-600
  • Exam Code: GH-600
  • Exam Name: Developing in Agentic AI Systems
  • Updated: Sep 18, 2026
  • Q & A: 111 Questions and Answers
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Microsoft GH-600 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Perform evaluation, error analysis, and tuning15-20%- Tune agent behavior based on evaluation results
  • 1. Revise instructions, workflows, or constraints
    • 2. Refine memory usage
      • 3. Refine tool usage and tool access
        - Define success criteria and evaluation signals for agent tasks
        • 1. Identify qualitative and quantitative evaluation signals to evaluate agents
          • 2. Generate evaluation signals by using automated scanning tools
            • 3. Specify expected outcomes and operational constraints for agent tasks
              • 4. Align evaluation criteria with development intent
                - 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
                    Topic 2: 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
                          - 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
                                - 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: Prepare agent architecture and SDLC processes15-20%- 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 steps for agents to perform
                                                • 2. Define inputs, outputs, and success criteria for agents
                                                  • 3. Identify and mitigate common anti-patterns in 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
                                                          Topic 4: 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
                                                                - Configure MCP servers
                                                                • 1. Configure a GitHub remote MCP server
                                                                  • 2. Add an MCP server as a tool to an agent
                                                                    • 3. Configure the MCP registries
                                                                      • 4. Configure MCP allow lists
                                                                        - Integrate agents within development environments
                                                                        • 1. Enable an agent to perform autonomous actions, including creating branches and pull requests
                                                                          • 2. Configure an agent to be invoked in a CI workflow
                                                                            • 3. Configure an agent to use branch-based scope
                                                                              • 4. Configure an agent to handle environment-specific constraints
                                                                                • 5. Configure an agent's scope to a specific repository
                                                                                  • 6. Evaluate the execution context for an agent
                                                                                    - Operate agents with safe execution paths and robust error handling
                                                                                    • 1. Implement escalation paths
                                                                                      • 2. Implement rollbacks
                                                                                        • 3. Implement error handling
                                                                                          • 4. Implement traceability and accountability for agent actions
                                                                                            • 5. Implement retries
                                                                                              Topic 5: 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
                                                                                                    - Detect and respond to multi-agent failures and degraded behavior
                                                                                                    • 1. Identify failed, partial, or stalled agent executions
                                                                                                      • 2. Respond to degraded behavior or coordination across agents
                                                                                                        • 3. Implement multi-agent recovery patterns, including rollback and human-in-the-loop
                                                                                                          - 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
                                                                                                                - 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
                                                                                                                      Topic 6: 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. Preserve execution velocity by minimizing approvals that do not materially reduce risk
                                                                                                                              • 3. Scope permissions and execution contexts to enforce least-privilege access
                                                                                                                                • 4. Require explicit authorization or controlled paths for irreversible or compliance-sensitive changes
                                                                                                                                  • 5. Identify the subset of actions that require human judgment

                                                                                                                                    Microsoft Developing in Agentic AI Systems Sample Questions:

                                                                                                                                    Question #1

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

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

                                                                                                                                    Correct Answer: B  🗳️

                                                                                                                                    Explanation: Only visible for DumpsFree 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 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. Add the token directly under env: npm_token: in the workflow file.
                                                                                                                                    • B. 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.
                                                                                                                                    • C. Create an organization-level Actions secret named NPM_TOKEN and reference it from .github/copilot-instructions.md.
                                                                                                                                    • D. Disable the agent's integrated firewall and rename the workflow.
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: B  🗳️

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

                                                                                                                                    Question #3

                                                                                                                                    You have a GitHub Enterprise Cloud organization that uses a custom coding agent to run GitHub Actions workflows that create branches, open pull requests, and merge changes after required checks pass.
                                                                                                                                    You need to log all agent-initiated actions and ensure that the logs are retained for two years.
                                                                                                                                    What should you do?

                                                                                                                                    • A. Enable log forwarding.
                                                                                                                                    • B. Configure audit log streaming.
                                                                                                                                    • C. Enable Git events in the audit log.
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: B  🗳️

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

                                                                                                                                    Question #4

                                                                                                                                    You have a GitHub repository that uses the GitHub Copilot coding agent.
                                                                                                                                    You need to complete the hooks configuration to meet the following requirements:
                                                                                                                                    Tool usage must be evaluated before execution.
                                                                                                                                    Build results must be logged after execution.
                                                                                                                                    Tool usage must be logged after execution.
                                                                                                                                    How should you complete the hooks configuration? To answer, drag the appropriate values to the correct targets.

                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer:

                                                                                                                                    Question #5

                                                                                                                                    You have a GitHub repository that uses GitHub Copilot code review on pull requests.
                                                                                                                                    You plan to add repository-wide code review guidance that will apply to all files.
                                                                                                                                    You need Copilot code review to consistently apply the guidance during pull request reviews.
                                                                                                                                    What should you do?

                                                                                                                                    • A. Create a .github/copilot-instructions.md file.
                                                                                                                                    • B. Modify the .github/pull_request_template.md file.
                                                                                                                                    • C. Create a .github/instructions/copilot.instructions.md file.
                                                                                                                                    • D. Update the instructions in the .github/agents/*.agent.md files.
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: A  🗳️

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

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