Exam Name: Developing in Agentic AI Systems
Certification Provider: Microsoft
Corresponding Certification: GitHub Administrator
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Check Updated on: Sep 18, 2026
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Microsoft GH-600 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement tool use and environment interaction | 20-25% | - Operate agents with safe execution paths and robust error handling
|
| Topic 2: Orchestrate multi-agent coordination | 15-20% | - Operate and manage multi-agent workflows
|
| Topic 3: Prepare agent architecture and SDLC processes | 15-20% | - Define boundaries between planning, reasoning, and action
|
| Topic 4: Implement guardrails and accountability | 10-15% | - Implement guardrails and human-in-the-loop workflows
|
| Topic 5: Manage memory, state, and execution | 10-15% | - Ensure continuity of agent memory and state across tools and environments
|
| Topic 6: Perform evaluation, error analysis, and tuning | 15-20% | - Analyze agent failures and identify root causes
|
Microsoft Developing in Agentic AI Systems Sample Questions:
You have a GitHub Enterprise Cloud organization that uses the GitHub Copilot coding agent.
Copilot creates a draft pull request for an assigned issue, and the pull request timeline shows Copilot started work.
After 70 minutes, the agent session log stops updating, and the pull request body status stops changing.
You need to restart the agent so that it continues the task from the issue context and produces new commits to the existing draft pull request.
What should you do?
- A. Merge the draft pull request and mention @copilot on the merged pull request.
- B. Unassign the issue from Copilot, and then reassign the issue to Copilot.
- C. Wait for the agent to complete.
- D. Select Approve and run workflows in the pull request merge box.
Correct Answer: B 🗳️
Explanation: Only visible for NewPassLeader members. You can sign-up / login (it's free).
You have a GitHub Enterprise organization that uses GitHub Copilot.
You discover that GitHub Copilot Chat responses in Microsoft Visual Studio Code are influenced by earlier, unrelated troubleshooting prompts from the same conversation.
You need to ensure that the Copilot Chat conversation context is limited to information relevant to the current work item. The solution must minimize effort.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
You have a GitHub Enterprise Cloud organization that uses the GitHub Copilot coding agent to resolve issues asynchronously.
When an issue is assigned to GitHub Copilot, the agent creates a draft pull request, but your team cannot always tell whether the agent is actively working, has completed its session, or is awaiting workflow approval.
Which execution context does each signal indicate? To answer, drag the appropriate context to the correct signals.
Correct Answer:
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 repository ruleset
- B. A CODEOWNERS file
- C. A .copilotignore file
- D. Branch protection rules
Correct Answer: C 🗳️
You have a GitHub Enterprise organization that uses GitHub Copilot.
You discover that GitHub Copilot Chat responses in Microsoft Visual Studio Code are influenced by earlier, unrelated troubleshooting prompts from the same conversation.
You need to ensure that the Copilot Chat conversation context is limited to information relevant to the current work item. The solution must minimize effort.
What should you do? To answer, select the appropriate options in the answer area.
Correct Answer:
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