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Microsoft GH-600 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Manage memory, state, and execution | 10-15% | - Manage context and memory
|
| Topic 2: Implement guardrails and accountability | 10-15% | - Ensure accountability
|
| Topic 3: Prepare agent architecture and SDLC processes | 15-20% | - Define boundaries between planning, reasoning, and action
|
| Topic 4: Orchestrate multi-agent coordination | 15-20% | - Coordinate multiple agents
|
| Topic 5: Implement tool use and environment interaction | 20-25% | - Manage execution environments
|
| Topic 6: Perform evaluation, error analysis, and tuning | 15-20% | - Improve agent behavior
|
Microsoft GitHub Agentic AI Developer Sample Questions:
You have a GitHub Enterprise repository.
An agent opens pull requests to the main branch.
You need to ensure that changes to .github/workflows/* and /infra/* require approval from designated reviewers before merge.
What should you configure?
- A. a ruleset and a .copilotignore file
- B. a branch protection rule and copilot-instructions.md
- C. a ruleset and an agents.md file
- D. a branch protection rule and a CODEOWNERS file
Correct Answer: D 🗳️
Explanation: Only visible for Real4dumps members. You can sign-up / login (it's free).
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 merge commit history
- B. The pull request description and comment history
- C. The artifact.destroy audit log event
- D. The checks.delete_log audit log event
Correct Answer: C 🗳️
Explanation: Only visible for Real4dumps members. You can sign-up / login (it's free).
You are analyzing the following agent logs.
2026-03-19 21:00:59.905 [info] ccreq:6343bff1.copilotmd | success | gpt-5.3-codex | 10385ms | [panel/editAgent]
2026-03-19 21:01:09.644 [info] ccreq:4612e90d.copilotmd | success | gpt-5.3-codex | 9806ms | [panel/editAgent]
2026-03-19 21:01:09.856 [info] [ToolCallingLoop] Stop hook result: shouldContinue=false, reasons=undefined
2026-03-19 21:01:30.816 [info] ccreq:9dcd0468.copilotmd | success | gpt-5.3-codex | 5489ms | [panel/editAgent]
2026-03-19 21:01:31.475 [error] Error from tool mcp_microsoftdocs_microsoft_docs_search with args
{"query":"VS Code custom agent name from frontmatter and filename behavior"}:
Cannot read properties of undefined (reading 'invoke'):
TypeError: Cannot read properties of undefined (reading 'invoke')
You need to classify the error in a report for your company's CTO.
How should you classify the error?
- A. Network issue
- B. Reasoning error
- C. Tool misuse
- D. Context issue
Correct Answer: C 🗳️
Explanation: Only visible for Real4dumps members. You can sign-up / login (it's free).
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. Upload trace.json and plan.md as workflow artifacts in agent-run, and download the files inside the jobs.
- B. Use dependency caching to store trace.json and plan.md.
- C. Store trace.json and plan.md on a network share and have later jobs retrieve them from the share.
- D. Commit trace.json and plan.md back to the repository from agent-run.
Correct Answer: A 🗳️
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