Microsoft GH-600 dumps - in .pdf

GH-600 pdf
  • Exam Code: GH-600
  • Exam Name: GitHub Agentic AI Developer
  • Updated: Sep 13, 2026
  • Q & A: 111 Questions and Answers
  • PDF Price: $59.99

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  • Exam Code: GH-600
  • Exam Name: GitHub Agentic AI Developer
  • Updated: Sep 13, 2026
  • Q & A: 111 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $119.98  $79.99
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Microsoft GH-600 dumps - Testing Engine

GH-600 Testing Engine
  • Exam Code: GH-600
  • Exam Name: GitHub Agentic AI Developer
  • Updated: Sep 13, 2026
  • Q & A: 111 Questions and Answers
  • Software Price: $59.99
  • Testing Engine

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Microsoft GH-600 Exam Syllabus Topics:

SectionWeightObjectives
Manage memory, state, and execution10–15%- Choose memory types: short-term, long-term, external
- Implement memory cleanup and expiration rules
- Scope and persist agent state correctly
- Handle execution flow, retries, and interruptions
Prepare agent architecture and SDLC processes15–20%- Define agent purpose, scope, and success criteria
- Design agent autonomy and decision boundaries
- Plan agent deployment, monitoring, and maintenance
- Integrate agents into software development lifecycle
Perform evaluation, error analysis, and tuning15–20%- Define metrics and quality standards for outputs
- Optimize prompts, tools, and behavior through iteration
- Test, validate, and compare agent results
- Diagnose failures, hallucinations, and unexpected behavior
Implement guardrails and accountability10–15%- Enforce least privilege and security boundaries
- Ensure compliance, safety, and responsible use
- Add validation, review, and approval gates
- Log actions, decisions, and changes for audit
Implement tool use and environment interaction20–25%- Manage permissions and environment access
- Configure and extend GitHub Copilot agents
- Implement tools, custom actions, and MCP servers
- Connect agents to codebase, APIs, and external systems
Orchestrate multi-agent coordination15–20%- Define communication and handoff protocols
- Design workflows for multiple agents
- Monitor and troubleshoot multi-agent execution
- Prevent conflicts and manage shared resources

Microsoft GitHub Agentic AI Developer Sample Questions:

Question #1

You have a GitHub Enterprise Cloud repository that uses the GitHub Copilot coding agent to resolve backlog issues by creating draft pull requests. The repository uses a GitHub Actions workflow for deployments to the production environment.
You discover that the workflow is being triggered before human review.
You need to configure GitHub controls to meet the following requirements:
The workflow for the agent's draft pull requests must NOT run until a user that has write access approves the pull requests.
Production deployment jobs must start only after a user with write access explicitly approves the jobs.
Which controls should you configure? To answer, drag the appropriate controls to the correct requirements.

Answer:

Question #2

You have multiple GitHub Copilot coding agents that run tasks concurrently.
You live stream the session log output and see the following.
* agent execution (ID 987654321)
Run ./scripts/agent-run.sh
--------------------------------
[agent] Starting task: Clean up infra configs
[agent] Executing step: Remove unused files
rm -rf /infra
Error: Command blocked by policy
Reason: destructive_operation_detected
[agent] Escalating to human review...
X Run agent task
X Process completed with exit code 1
X agent-execution failed
What is a possible cause of the error?

  • A. a GitHub app installation policy
  • B. a preToolUse hook
  • C. a postToolUse hook
  • D. a Copilot firewall policy
Answer: B

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Question #3

You have a GitHub Copilot Enterprise subscription. Developers use Microsoft Visual Studio Code and GitHub Copilot.
The developers want to share a custom agent that can review code changes but cannot modify files.
You need to prevent the agent from modifying repository content and appearing in the agents dropdown.
How should you configure the YAML frontmatter for the agent? 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.

Answer:

Question #4

You have a GitHub Enterprise Cloud organization that has Copilot agents enabled.
You discover activity in a repository.
You need to identify whether the activity was initiated by an agent.
Which two audit log fields can you use? Each correct answer presents a complete solution.

  • A. agent_session_id
  • B. user
  • C. action
  • D. actor_is_agent
Answer: A,D
Question #5

You have a GitHub repository that uses the GitHub Copilot coding agent and GitHub Copilot Chat.
You need to add a GitHub Actions workflow that meets the following requirements:
Blocks merges unless agent changes are reviewed by a human.
Fails if the pull request author is the Copilot coding agent.
How should you complete the workflow? 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.

Answer:

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