Pass your actual test at first attempt with Microsoft GH-600 training material
Updated: Aug 06, 2026
No. of Questions: 85 Questions & Answers with Testing Engine
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Exam-Killer GH-600 updated and latest training material covers the main exam objectives of the actual test, which can ensure you pass easily. Free update for one year of GH-600 training material is available after purchase. Besides, our GH-600 test engine can simulate the actual test environment for better preparation.
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| Certification Vendor: | GitHub |
| Exam Name: | GitHub Certified: Agentic AI Developer |
| Exam Number: | GH-600 |
| Exam Format: | Proctored Exam, Scenario-based Questions, Interactive Exam Components |
| Available Languages: | English |
| Exam Duration: | 120 minutes |
| Related Certifications: | GitHub Certified Foundations GitHub Actions GitHub Advanced Security GitHub Copilot |
| Certificate Validity Period: | 24 months |
| Sample Questions: | Microsoft GH-600 Sample Questions |
| Exam Way: | Pearson VUE testing center or online proctored exam. |
| Pre Condition: | No formal prerequisites. Candidates should have experience with SDLC workflows, GitHub controls, GitHub Copilot, MCP servers, agent customization, code quality, security, and review practices. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/agentic-ai-developer/ |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prepare agent architecture and SDLC processes | 15-20% | - Integrate agents into the software development lifecycle
|
| Topic 2: Manage memory, state, and execution | 10-15% | - Manage context and memory
|
| Topic 3: Orchestrate multi-agent coordination | 15-20% | - Coordinate multiple agents
|
| Topic 4: Perform evaluation, error analysis, and tuning | 15-20% | - Improve agent behavior
|
| Topic 5: Implement tool use and environment interaction | 20-25% | - Manage execution environments
|
| Topic 6: Implement guardrails and accountability | 10-15% | - Ensure accountability
|
1. You are debugging an agentic workflow that intermittently fails specific tool calls with rate-limit errors when connecting to an internal MCP server. What is the most direct remediation?
A) Run /clear
B) Add a CODEOWNERS entry
C) Increase the MCP server's configured rate limits/quota
D) Switch to --allow-all
2. You are architecting an agentic AI system and need the agent's tool-calling behavior to be constrained so it can only call a specific allow-listed set of MCP tools, never arbitrary ones. What should you configure?
A) .copilotignore
B) Tool/server allow-list in the MCP client configuration
C) /usage
D) Repository ruleset
3. You use a GitHub Actions workflow to orchestrate a multi-agent draft-review process for pull requests. The workflow uploads a single combined review-package artifact at the end of each run.
You discover that the review-package artifact is occasionally missing from the workflow run history, and you suspect that a user deleted it.
You need to identify which user manually deleted a workflow run artifact and when the deletion occurred.
What should you use?
A) the artifact.destroy audit log event
B) the merge commit history
C) the pull request description and comment history
D) the checks.delete_logs audit log event
4. You want to prevent GitHub Copilot from ever suggesting completions or making edits inside a directory containing sensitive credentials templates. What should you configure?
A) A .copilotignore file
B) A CODEOWNERS file
C) A repository ruleset
D) Branch protection rules
5. A developer uses the GitHub Copilot CLI in plan mode.
Copilot produces a plan.
What does Copilot do next?
A) creates a branch named /copilot/plan in the repository
B) saves the plan to plan.md
C) opens a pull request that has the plan as a comment
D) begins the implementation
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: B |
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