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Microsoft GH-600 Exam Overview:
| Certification Vendor: | Microsoft / GitHub |
|---|---|
| Exam Name: | Developing in Agentic AI Systems |
| Exam Number: | GH-600 |
| Exam Duration: | 120 minutes |
| Exam Price: | $165 USD |
| Related Certifications: | GitHub Certified: Agentic AI Developer |
| Real Exam Qty: | Approximately 40–60 |
| Certificate Validity Period: | 1 year |
| Passing Score: | 700/1000 |
| Exam Format: | Interactive items, Proctored exam, Multiple-choice questions, Scenario-based questions |
| Available Languages: | English |
| Sample Questions: |  |
| Exam Way: | Proctored exam delivered through Pearson VUE; online and test-center delivery options are available. |
| Pre Condition: | No formal prerequisite certification is specified. Candidates should have experience with the software development lifecycle (SDLC), GitHub workflows and controls, code quality, security and review practices, and coding agents such as GitHub Copilot, MCP servers, custom instructions, custom agents, tools, and Copilot setup steps. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/agentic-ai-developer/ |
Microsoft GH-600 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement guardrails and accountability | 10–15% | - Implement guardrails and human-in-the-loop workflows
|
| Orchestrate multi-agent coordination | 15–20% | - Configure observability for multi-agent behavior by using logs, artifacts, and operational signals
|
| Manage memory, state, and execution | 10–15% | - Persist agent state and manage context drift
|
| Prepare agent architecture and SDLC processes | 15–20% | - Configure observability and control for autonomous agents
|
| Perform evaluation, error analysis, and tuning | 15–20% | - Define success criteria and evaluation signals for agent tasks
|
| Implement tool use and environment interaction | 20–25% | - Integrate agents within development environments
|
Microsoft GH-600 Exam: Answers Worth Your Time
Microsoft Developing in Agentic AI Systems is an official Microsoft / GitHub certification exam, registered under the code GH-600. Passing it awards the GitHub Administrator certification, a credential at the Intermediate level. It also connects to GitHub Certified: Agentic AI Developer. Successfully passing matters to every candidate because the credential keeps working for your career long after exam day.
You will answer Approximately 40–60 questions within 120 minutes on the Microsoft Developing in Agentic AI Systems exam. That combination rewards candidates who practiced under realistic timing, so make timed sessions in the TestkingPDF engine a daily habit; one to two hours a day is enough when every minute rehearses the real thing.
Microsoft Developing in Agentic AI Systems requires 700/1000 to pass, and official registration costs $165 USD. Since every retake charges $165 USD again, diligent daily practice is the cheapest strategy available. Let your TestkingPDF practice scores confirm readiness across several consecutive sessions before you book.
No formal prerequisite certification is specified. Candidates should have experience with the software development lifecycle (SDLC), GitHub workflows and controls, code quality, security and review practices, and coding agents such as GitHub Copilot, MCP servers, custom instructions, custom agents, tools, and Copilot setup steps.
Vendor requirements do change, so verify the current conditions before registering on the official exam page.
The Microsoft Developing in Agentic AI Systems blueprint covers 6 domains, with the largest being Perform evaluation, error analysis, and tuning (15–20%), Manage memory, state, and execution (10–15%), and Implement guardrails and accountability (10–15%). The full topic list is above on this page; it tells you exactly where your daily hour or two earns the most marks.
Yes, download the free demo of the Microsoft Developing in Agentic AI Systems questions before deciding, and read former customers' comments for an independent verdict. After purchase, new versions download free for one year, and when your product expires you can extend the update service at a 50% discount. Returning customers also enjoy bountiful discounts on future exams.
Your purchase carries a 100% money-back guarantee with defined conditions. Take the Microsoft Developing in Agentic AI Systems exam within 60 days of purchase; if you fail, you may claim a full refund, provided the exam matches your product. Attempts within 3 days of purchase are ineligible, as are downloaded-but-unused products, free materials, and expired orders; the candidate name must match the payer name. Submit a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, and claims are processed within 7 days. Alternatively, exchange for two other exam products of equal value, free, with your original purchase keeping its update service.
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Microsoft Developing in Agentic AI Systems Sample Questions:
You have a GitHub Actions workflow that starts multiple agent jobs in parallel.
You need to prevent two runs in the same job from executing simultaneously on the same branch. The solution must ensure, at most, one running instance and one pending instance per branch.
What should you add to the job?
- A. jobs.<job_id>.strategy.max-parallel: 1
- B. jobs.<job_id>.concurrency.cancel-in-progress: ${{ !contains(github.ref, 'release/') }}
- C. jobs.<job_id>.strategy.matrix: [1]
- D. jobs.<job_id>.concurrency.group: ci-${{ github.ref }}
Correct Answer: D 🗳️
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You have a GitHub Actions workflow that runs GitHub Copilot-driven integration tests across multiple jobs.
You need to persist the agent memory/state so that it remains available across the jobs.
What should you do?
- A. Use the runner's memory to retain the workspace between jobs.
- B. Upload the agent state as a workflow artifact and download the artifact in subsequent jobs.
- C. Write the agent state to environment variables.
- D. Add the agent state directory to the repository and commit the changes at the end of each job.
Correct Answer: B 🗳️
Explanation: Only visible for TestkingPDF members. You can sign-up / login (it's free).
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. user
- B. action
- C. actor_is_agent
- D. agent_session_id
Correct Answer: C,D 🗳️
While upgrading App1, the agent identifies 47 issues, including a security vulnerability, and 46 API incompatibilities across different projects.
Which two actions are unsafe to delegate to the agent and require human involvement? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
- A. Generate the assessment.md file.
- B. Validate whether the tasks.md file exists.
- C. Approve all Git commits.
- D. Review the plan.md file for dependencies.
- E. Validate the assessment.md file for accuracy.
Correct Answer: C,E 🗳️
Explanation: Only visible for TestkingPDF members. You can sign-up / login (it's free).
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. --agent=Task
- B. --allow-all
- C. /compact
Correct Answer: B 🗳️
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