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Microsoft GH-600 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Integrate tools, data, and services | 25% | - Connect data sources and knowledge bases
|
| Test, deploy, and monitor agentic AI systems | 20% | - Deploy and monitor agents at scale
|
| Design agentic AI solutions | 25% | - Design agent architecture
|
| Implement agents and multi-agent systems | 30% | - Orchestrate multi-agent collaboration
|
Microsoft Developing in Agentic AI Systems Sample Questions:
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. Repository ruleset
- B. /usage
- C. .copilotignore
- D. Tool/server allow-list in the MCP client configuration
Correct Answer: D 🗳️
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You need to configure agent1 to support the planned changes.
What should you do?
- A. In the agent configuration, replace line 05 with the following: tools: []
- B. Add the mcp-servers property to the agent configuration.
- C. Add Use all available tools to the instructions in the agent configuration.
- D. Delete line 05 from the agent configuration.
- E. Add Use all available tools to the .github/copilot-instructions.md file.
Correct Answer: B 🗳️
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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. Approve all Git commits.
- B. Validate whether the tasks.md file exists.
- C. Validate the assessment.md file for accuracy.
- D. Review the plan.md file for dependencies.
- E. Generate the assessment.md file.
Correct Answer: A,C 🗳️
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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. Use dependency caching to store trace.json and plan.md.
- B. Commit trace.json and plan.md back to the repository from agent-run.
- C. Store trace.json and plan.md on a network share and have later jobs retrieve them from the share.
- D. Upload trace.json and plan.md as workflow artifacts in agent-run, and download the files inside the jobs.
Correct Answer: D 🗳️
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You have a GitHub repository that uses the GitHub Copilot coding agent to resolve issues and create draft pull requests. The repository uses GitHub Actions for CI, and reviewers rely on pull request timelines and workflow artifacts to understand what the agent did.
During long-running agent tasks, the reviewers lose track of decisions and validation steps, which causes repeated questions and reworks when context drifts between iterations.
You need to persist task progress and decisions as durable artifacts and ensure that the reviewers can verify what the agent did during and after execution by using GitHub as the system of record.
What should you do for each requirement? To answer, drag the appropriate actions to the correct requirements. Each action 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:
Annabelle 
April 
Barlow 
Nicholas 
Harold 
Montague 
Quinn 
Megan 
Broderick 
Belle 
Lucien 
Ives 
Paddy 
Malcolm 
Penny 
Murphy 
Noah 
