Microsoft GH-600 valid dump torrent : GitHub Agentic AI Developer

  • Exam Code: GH-600
  • Exam Name: GitHub Agentic AI Developer
  • Updated: Aug 05, 2026
  • Q&As: 85 Questions and Answers

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

Microsoft GitHub Agentic AI Developer Sample Questions:

1. You have a GitHub Enterprise repository.
An agent opens pull requests to the main branch.
You need to ensure that changes to .github/workflows/* and /infra/* require approval from designated reviewers before merge.
What should you configure?

A) a branch protection rule and copilot-instructions.md
B) a ruleset and a .copilotignore file
C) a ruleset and an agents.md file
D) a branch protection rule and a CODEOWNERS file


2. Hotspot Question
You have a GitHub repository that uses GitHub Actions for CI.
Your team is piloting the GitHub Copilot coding agent to autonomously create branches and open pull requests. The repository follows trunk-based development that uses main as the default branch.
You need to ensure that the agent meets the following requirements:
- Changes to main can occur only by using pull requests that have at
least one approval.
- When a pull request is opened, a validation workflow runs, and the
agent can still create branches and open pull requests autonomously.
How should you configure the repository? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


3. You have a GitHub Enterprise repository that runs an autonomous agent by using a GitHub Actions workflow. The workflow has the following jobs:
- agent-run that generates trace.json and plan.md
- review that waits for human approval before continuing
- deploy that uses the outputs from agent-run
You need to make the files inspectable in the GitHub Actions UI and ensure that the files are available to the review and deploy jobs.
What should you do in the workflow?

A) Commit trace.json and plan.md back to the repository from agent-run.
B) Store trace.json and plan.md on a network share and have later jobs retrieve them from the share.
C) Use dependency caching to store trace.json and plan.md.
D) Upload trace.json and plan.md as workflow artifacts in agent-run, and download the files inside the jobs.


4. Hotspot Question
You have a GitHub repository that uses the following GrtHub Copilot CLI command in a Bash script.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.


5. You are running the GitHub Copilot CLI and want the agent to execute file edits and shell commands without prompting for confirmation on each individual action, during a trusted throwaway sandbox session. Which flag/command should you use?

A) /compact
B) /context
C) --agent=Task
D) --allow-all


Solutions:

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

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