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Microsoft GH-600 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Orchestrate multi-agent coordination | 15-20% | - Detect and respond to multi-agent failures and degraded behavior
|
| Topic 2: Implement guardrails and accountability | 10-15% | - Implement guardrails and human-in-the-loop workflows
|
| Topic 3: Perform evaluation, error analysis, and tuning | 15-20% | - Tune agent behavior based on evaluation results
|
| Topic 4: Implement tool use and environment interaction | 20-25% | - Operate agents with safe execution paths and robust error handling
|
| Topic 5: Manage memory, state, and execution | 10-15% | - Ensure continuity of agent memory and state across tools and environments
|
| Topic 6: Prepare agent architecture and SDLC processes | 15-20% | - Integrate agents into the software development lifecycle (SDLC)
|
Microsoft Developing in Agentic AI Systems Sample Questions:
Your company uses GitHub Copilot custom agents in Microsoft Visual Studio Code.
The company also uses the Copilot coding agent on GitHub issues.
You have a file named .planner.agent.md that defines an agent named planner. planner has tools set to ['search', 'read', 'fetch']. There are explicit instructions NOT to write or modify any code. The file also defines a handoff labeled Start Implementation to an agent named implementer and sets send to false.
Developers report that after the planner agent produces a plan, implementation sometimes starts immediately in the same conversation and code changes appear without an explicit agent switch.
When Copilot-created pull requests stall, maintainers review the pull request timeline and session logs. Several stalled sessions show outbound network commands blocked by a firewall, and the repositories do NOT contain a .github/copilot-instructions.md file.
For each statement, select Yes or No.
Correct Answer:
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. Tool misuse
- B. Reasoning error
- C. Network issue
- D. Context issue
Correct Answer: A 🗳️
Explanation: Only visible for Dumps4PDF members. You can sign-up / login (it's free).
You use the GitHub Copilot CLI in a developer terminal.
You plan to use Copilot CLI programmatically to summarize recent commits.
You need to ensure that Copilot performs a low-risk, read-only action without granting Copilot broad write or execution capability.
Which Copilot CLI configuration should you use?
- A. copilot -p "<prompt>" --allow-tool 'shell(git)'
- B. copilot -p "<prompt>" --deny-tool 'shell(git)'
- C. copilot -p "<prompt>" --allow-all-tools
- D. copilot -p "<prompt>" --allow-tool 'write'
Correct Answer: A 🗳️
Explanation: Only visible for Dumps4PDF members. You can sign-up / login (it's free).
Your company uses Microsoft Visual Studio Code and GitHub Copilot Chat.
You have a GitHub repository that uses main as the default branch. The repository contains a workspace custom agent stored at .github/agents/release-notes.agent.md.
A developer switches to a branch named branch1 where the agent file does NOT exist. In the same session, the developer switches to a user profile named profile1. profile1 contains a custom agent file named release-notes.agent.md that has user-invocable set to false.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Correct Answer:
You have a GitHub Actions workflow that runs a multi-agent job. Each agent uploads its output as a workflow artifact.
A completed workflow run produces unexpected code changes, and the job logs do NOT show the agents' intermediate outputs.
You need to retrieve the agents' captured outputs from the completed run for post-hoc analysis.
What should you do in GitHub Actions?
- A. Enable step-level masking for secrets in the workflow.
- B. Review the repository's commit history for the run.
- C. Download the workflow artifacts from the run summary page.
- D. Rerun the workflow with debug logging enabled.
Correct Answer: C 🗳️
Explanation: Only visible for Dumps4PDF members. You can sign-up / login (it's free).
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