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Microsoft GH-600 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Evaluation, error analysis, and tuning | 15–20% | - Define evaluation criteria
|
| Orchestrate multi-agent coordination | 15–20% | - Lifecycle management
|
| Prepare agent architecture and SDLC processes | 15–20% | - Integrate agents into SDLC workflows
|
| Implement guardrails and accountability | 10–15% | - Guardrails and human-in-the-loop
|
| Implement tool use and environment interaction | 20–25% | - Development environment integration
|
| Manage memory, state, and execution | 10–15% | - State persistence and drift control
|
Microsoft GitHub Agentic AI Developer Sample Questions:
You have a GitHub Enterprise Cloud organization that uses the GitHub Copilot coding agent to resolve issues asynchronously.
When an issue is assigned to GitHub Copilot, the agent creates a draft pull request, but your team cannot always tell whether the agent is actively working, has completed its session, or is awaiting workflow approval.
Which execution context does each signal indicate? To answer, drag the appropriate context to the correct signals.
You are evaluating the following workflow YAML.
jobs:
agent1:
runs-on: ubuntu-latest
environment: agent-sandbox
steps:
- uses: actions/checkout@v4
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
You have a GitHub repository that uses GitHub Actions for CI.
Your team is piloting the GitHub Copilot coding agent to autonomously create branches and open pull requests. The repository follows trunk-based development that uses main as the default branch.
You need to ensure that the agent meets the following requirements:
Changes to main can occur only by using pull requests that have at least one approval.
When a pull request is opened, a validation workflow runs.
How should you configure the repository? To answer, select the appropriate options in the answer area.
You have a GitHub Enterprise organization that uses GitHub Copilot.
You discover that GitHub Copilot Chat responses in Microsoft Visual Studio Code are influenced by earlier, unrelated troubleshooting prompts from the same conversation.
You need to ensure that the Copilot Chat conversation context is limited to information relevant to the current work item. The solution must minimize effort.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
You have a GitHub Enterprise Cloud organization that uses GitHub Actions for CI/CD.
You plan to enable an agent to update and deploy workflows that access production environment secrets.
You need to select an autonomy level for a compliance-sensitive workflow.
Which autonomy level should you select?
- A. Human-in-the-loop with required manual approvals for production
- B. Fully autonomous execution without approvals
- C. Read-only analysis with no ability to trigger workflows
- D. Autonomous execution limited to non-production environments
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