Enough for the tests after 20 or 30 hours'practice
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High guarantee for the personal interests of customers
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After purchase, Instant Download: Upon successful payment, Our systems will automatically send the product you have purchased to your mailbox by email. (If not received within 12 hours, please contact us. Note: don't forget to check your spam.)
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Microsoft GH-600 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Prepare agent architecture and SDLC processes | 15–20% | - Integrate agents into SDLC workflows
|
| Evaluation, error analysis, and tuning | 15–20% | - Tuning agent behavior
|
| Orchestrate multi-agent coordination | 15–20% | - Lifecycle management
|
| Implement tool use and environment interaction | 20–25% | - Agent tool configuration
|
| Manage memory, state, and execution | 10–15% | - Cross-tool continuity
|
| Implement guardrails and accountability | 10–15% | - Autonomy and risk levels
|
Microsoft GitHub Agentic AI Developer Sample Questions:
1. Hotspot Question
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-invokable 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.
2. You have a GitHub Enterprise repository that uses the GitHub Copilot coding agent and opens draft pull requests for assigned issues.
Evaluation results show that the agent repeatedly opens pull requests that modify .github/workflows/*.yml to bypass failing checks instead of fixing the underlying code.
You need to ensure that the agent fixes the underlying code instead of bypassing the failing checks.
What should you do?
A) Create a branch ruleset.
B) Start the GitHub Copilot CLI by using --allow-all.
C) Update .github/copilot-instructions.md.
D) Disable GitHub Actions workflows for pull requests created by the agent.
3. You have a GitHub Copilot coding agent that has completed a pull request for a security fix in your repository.
Before merging, you need to evaluate the quality of the agent's work by using both automated evaluation signals and human review.
You review the session log and the pull request.
What are two automated evaluation signals generated by the coding agent's built-in scanning tools? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A) comments from Copilot code review that suggest improvements to code patterns
B) the detection of hardcoded secrets, such as API keys and tokens
C) linting errors from the repository's CI pipeline configured in GitHub Actions
D) the median time to merge metric reported on the Copilot usage metrics dashboard
E) CodeQL findings that identify security vulnerabilities in the generated code
4. You are debugging an agentic workflow that intermittently fails specific tool calls with rate-limit errors when connecting to an internal MCP server. What is the most direct remediation?
A) Add a CODEOWNERS entry
B) Switch to --allow-all
C) Increase the MCP server's configured rate limits/quota
D) Run /clear
5. While using agent mode in VS Code, you want Copilot to run a specific test suite as a validation step after making changes, without manually invoking the terminal each time. What feature enables this?
A) MCP server integration
B) CODEOWNERS
C) Tool/terminal invocation permissions in agent mode
D) .copilotignore
Solutions:
| Question # 1 Answer: Only visible for members | Question # 2 Answer: A | Question # 3 Answer: B,E | Question # 4 Answer: C | Question # 5 Answer: C |



