GitHub Agentic AI Developer: GH-600 Exam


"GitHub Agentic AI Developer", also known as GH-600 exam, is a Microsoft Certification. With the complete collection of questions and answers, Pass4sureCert has assembled to take you through 85 Q&As to your GH-600 Exam preparation. In the GH-600 exam resources, you will cover every field and category in GitHub Administrator Certification helping to ready you for your successful Microsoft Certification.

  • Exam Code: GH-600
  • Exam Name: GitHub Agentic AI Developer
  • Total Questions: 85

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Microsoft GH-600 Exam Syllabus Topics:

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

Microsoft GitHub Agentic AI Developer Sample Questions:

1. You have a GitHub repository that uses the GitHub Copilot coding agent.
Your company restricts GitHub Actions secrets.
Developers need the Copilot coding agent to call an internal dependency-scanning API during its run. The API requires an access token.
You need to ensure that the Copilot coding agent can use the token during execution without accessing the repository's Actions secrets and variables. The solution must prevent exposing the token in plaintext.
What should you do?

A) Add the token as an Actions repository secret.
B) Store the token in a repository custom instructions file.
C) Store the token in the agent configuration file.
D) Add the token as a secret in the Copilot environment.


2. You have a repository that uses the GitHub Copilot coding agent and supports hooks stored under .github/hooks.
You need a Shell command to run automatically whenever an agent execution fails.
Which type of hook should you use?

A) errorOccurred
B) postToolUse
C) agentStop
D) sessionEnd


3. Drag and Drop Question
You have a GitHub repository that uses the GitHub Copilot coding agent to resolve issues and create draft pull requests. The repository uses GitHub Actions for CI, and reviewers rely on pull request timelines and workflow artifacts to understand what the agent did.
During long-running agent tasks, the reviewers lose track of decisions and validation steps, which causes repeated questions and reworks when context drifts between iterations.
You need to persist task progress and decisions as durable artifacts and ensure that the reviewers can verify what the agent did during and after execution by using GitHub as the system of record.
What should you do for each requirement? To answer, drag the appropriate actions to the correct requirements. Each action 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.


4. Hotspot Question
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.


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-tool 'read,search' --deny-tool 'edit,execute'
B) copilot agent run CodeAgent --allow-all-tools
C) copilot agent run CodeAgent --deny-tool 'edit,execute'
D) copilot agent run CodeAgent --allow-tool 'read,search'
E) copilot agent run CodeAgent


Solutions:

Question # 1
Answer: D
Question # 2
Answer: A
Question # 3
Answer: Only visible for members
Question # 4
Answer: Only visible for members
Question # 5
Answer: A

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