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Microsoft GH-600 Exam Overview:
| Certification Vendor: | Microsoft / GitHub |
|---|---|
| Exam Name: | Developing in Agentic AI Systems |
| Exam Number: | GH-600 |
| Passing Score: | 700/1000 |
| Real Exam Qty: | Approximately 40–60 |
| Available Languages: | English |
| Exam Format: | Multiple-choice questions, Scenario-based questions, Proctored exam, Interactive items |
| Exam Duration: | 120 minutes |
| Certificate Validity Period: | 1 year |
| Exam Price: | $165 USD |
| Related Certifications: | GitHub Certified: Agentic AI Developer |
| Sample Questions: | DOWNLOAD DEMO |
| 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 |
|---|---|---|
| Prepare agent architecture and SDLC processes | 15–20% | - Configure observability and control for autonomous agents
|
| Implement guardrails and accountability | 10–15% | - Implement guardrails and human-in-the-loop workflows
|
| Orchestrate multi-agent coordination | 15–20% | - Detect and respond to multi-agent failures and degraded behavior
|
| Perform evaluation, error analysis, and tuning | 15–20% | - Analyze agent failures and identify root causes
|
| Manage memory, state, and execution | 10–15% | - Persist agent state and manage context drift
|
| Implement tool use and environment interaction | 20–25% | - Integrate agents within development environments
|
Frequently Asked Questions: Microsoft Developing in Agentic AI Systems
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. The exam is demanding by design, and that difficulty is precisely what makes the credential meaningful for career development.
The Microsoft Developing in Agentic AI Systems exam presents Approximately 40–60 questions within 120 minutes. That is a brisk pace, and the candidates who handle it best are the ones who rehearsed it. Use the ActualPDF engine for full timed simulations, practice flagging and returning, and arrive on exam day with a pacing strategy already proven.
Passing Microsoft Developing in Agentic AI Systems takes 700/1000, and official registration costs $165 USD. Retakes bill the full $165 USD again, so preparation is the least expensive insurance available. Let your ActualPDF practice scores guide the timing: book when you clear the requirement consistently, not occasionally.
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.
Policies get revised, so confirm the current requirements before you register on the official exam page.
Yes. ActualPDF offers a free demo of the Microsoft Developing in Agentic AI Systems questions, so you can verify the quality personally before purchasing. Your purchase then includes a one-year service warranty: updates are free for 365 days, and after expiry you can extend the update service at a 50% discount.
Your money is protected by 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. You may instead wait for the update version or change to other exam material: exchange for two other exam products of equal value, free, with your original purchase keeping its update service.
Delivery is instant: files unlock for download at payment and are emailed within one minute. If nothing arrives within 2 hours, check spam and contact customer service, online 7/24 even on official holidays. Installation is unlimited across your computers.
Microsoft Developing in Agentic AI Systems is organized into 6 official domains. The most heavily weighted are Implement tool use and environment interaction (20–25%), Orchestrate multi-agent coordination (15–20%), and Manage memory, state, and execution (10–15%). The full breakdown appears above on this page; study the weightings and your preparation priorities set themselves.
Microsoft Developing in Agentic AI Systems Sample Questions:
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. Validate the assessment.md file for accuracy.
- B. Validate whether the tasks.md file exists.
- C. Approve all Git commits.
- D. Generate the assessment.md file.
- E. Review the plan.md file for dependencies.
Correct Answer: A,C 🗳️
Explanation: Only visible for ActualPDF members. You can sign-up / login (it's free).
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.
Correct Answer:
You have a GitHub Copilot Enterprise subscription. Developers use Microsoft Visual Studio Code and GitHub Copilot.
You have the following Model Context Protocol (MCP) configuration in Visual Studio Code:
{
"servers": {
"mcp1": {
"command": "npx",
"args": ["-y", "@microsoft/mcp-server-test"]
},
"mcp2": {
"command": "uvx",
"args": ["mcp-server-test", "--db-path", "pubs.db"]
}
}
}
For each statement, select Yes if the statement is true. Otherwise, select No.
Correct Answer:
You have a GitHub repository that uses the GitHub Copilot coding agent. The repository uses strict branch protections on the main branch.
You maintain a long-lived branch named release/1.4 that has different dependencies and CI checks.
You need the agent to create a hotfix that is implemented and validated against the release/1.4 branch. The solution must prevent the agent from basing its work on main.
What should you do?
- A. Add concurrency: release/1.4 to .github/workflows/copilot-setup-steps.yml.
- B. Select the repository and the release/1.4 branch in the Copilot agents UI before you run the agent task.
- C. In .github/copilot-instructions.md, instruct the agent to always check out release/1.4 instead of main when creating hotfixes.
- D. Require human reviews on changes to main.
Correct Answer: B 🗳️
Explanation: Only visible for ActualPDF members. You can sign-up / login (it's free).
You have a GitHub repository that uses the GitHub Copilot CLI to run autonomous tasks.
You need to validate each generated command before it runs. Any commands that attempt to modify paths outside the repository must be blocked.
How should you complete the YAML? 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.
Correct Answer:
