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Microsoft GH-600 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Test, deploy, and monitor agentic AI systems | 20% | - Validate agent performance and safety
|
| Design agentic AI solutions | 25% | - Design agent architecture
|
| Implement agents and multi-agent systems | 30% | - Orchestrate multi-agent collaboration
|
| Integrate tools, data, and services | 25% | - Connect data sources and knowledge bases
|
Microsoft Developing in Agentic AI Systems Sample Questions:
You have a repository on github.com that uses the GitHub Copilot coding agent.
You also use the GitHub Copilot CLI locally to reproduce failures and continue the same work from your terminal.
You need to verify the current token usage.
Which Copilot CLI slash command should you run?
- A. /compact
- B. /context
- C. /diff
- D. /usage
Correct Answer: B 🗳️
Explanation: Only visible for TestPassed members. You can sign-up / login (it's free).
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. Validate whether the tasks.md file exists.
- B. Approve all Git commits.
- C. Generate the assessment.md file.
- D. Validate the assessment.md file for accuracy.
- E. Review the plan.md file for dependencies.
Correct Answer: B,D 🗳️
Explanation: Only visible for TestPassed members. You can sign-up / login (it's free).
You want the GitHub Copilot coding agent to follow project-specific conventions (coding style, testing requirements, folder structure) on every task it performs in a repository. What should you create?
- A. A copilot-instructions.md file in .github
- B. A agents.yml workflow file
- C. A CODEOWNERS file
- D. A .copilotignore file
Correct Answer: A 🗳️
Explanation: Only visible for TestPassed members. You can sign-up / login (it's free).
You have a GitHub repository that uses a GitHub Actions workflow to run an agent-driven change plan as part of a CI pipeline. The workflow generates an artifact named plan.json that includes a field named risk. risk has possible values of low, medium, or high.
You need to ensure that a human must confirm the execution of the workflow when risk is medium or high.
The workflow must proceed automatically only when risk is low.
How should you complete the workflow? To answer, drag the appropriate values to the correct targets. Each value 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:
Explanation:
Target 1 - apply job:
${{ needs.plan.outputs.risk != ' low ' }}
Target 2 - apply_auto job:
${{ needs.plan.outputs.risk == ' low ' }}
The relevant completed workflow is:
apply:
needs: plan
runs-on: ubuntu-latest
environment: approval-required
if: ${{ needs.plan.outputs.risk != ' low ' }}
steps:
- name: Apply agent plan
run: |
echo " Applying plan with risk=${{ needs.plan.outputs.risk }} "
/scripts/apply.sh out/plan.json
apply_auto:
needs: plan
runs-on: ubuntu-latest
if: ${{ needs.plan.outputs.risk == ' low ' }}
steps:
- name: Apply agent plan (auto)
run: |
echo " Auto-applying plan with risk=${{ needs.plan.outputs.risk }} "
/scripts/apply.sh out/plan.json
Comprehensive and Detailed 150 to 250 words of Explanation From Agentic AI Developer/Course Guide/topics:
The apply job must use ${{ needs.plan.outputs.risk != ' low ' }} . Because the only possible values are low, medium, and high, this expression selects both medium- and high-risk plans. The job references the protected environment approval-required , so GitHub Actions can enforce required reviewers before the job is allowed to execute. GitHub environments explicitly support required-reviewer protection rules, and jobs referencing a protected environment remain blocked until the required approval is granted. GitHub Docs The apply_auto job must use ${{ needs.plan.outputs.risk == ' low ' }} . This produces the complementary execution path: only low-risk plans bypass the approval environment and execute automatically.
The plan job exposes risk as a job output, and dependent jobs access that value through the needs. < job > .
outputs. < output > syntax. GitHub documents this mechanism specifically for passing calculated information between jobs. GitHub Docs Using always(), success(), or failure() would evaluate job execution status rather than the risk classification and therefore would not implement the required risk-based guardrail.
Study Guide Reference Topics: Implement Guardrails and Accountability; risk-based execution controls; human-in-the-loop approval; GitHub environments; conditional job execution; job outputs.
A developer uses the GitHub Copilot CLI in plan mode.
Copilot produces a plan.
What does Copilot do next?
- A. Begins the implementation.
- B. Creates a branch named /copilot/plan in the repository.
- C. Opens a pull request that has the plan as a comment.
- D. Saves the plan to plan.md.
Correct Answer: D 🗳️
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