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Microsoft GH-600 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Manage memory, state, and execution | 10–15% | - Handle execution flow, retries, and interruptions - Scope and persist agent state correctly - Choose memory types: short-term, long-term, external - Implement memory cleanup and expiration rules |
| Prepare agent architecture and SDLC processes | 15–20% | - Define agent purpose, scope, and success criteria - Integrate agents into software development lifecycle - Plan agent deployment, monitoring, and maintenance - Design agent autonomy and decision boundaries |
| Implement tool use and environment interaction | 20–25% | - Connect agents to codebase, APIs, and external systems - Configure and extend GitHub Copilot agents - Implement tools, custom actions, and MCP servers - Manage permissions and environment access |
| Perform evaluation, error analysis, and tuning | 15–20% | - Diagnose failures, hallucinations, and unexpected behavior - Test, validate, and compare agent results - Optimize prompts, tools, and behavior through iteration - Define metrics and quality standards for outputs |
| Orchestrate multi-agent coordination | 15–20% | - Define communication and handoff protocols - Prevent conflicts and manage shared resources - Design workflows for multiple agents - Monitor and troubleshoot multi-agent execution |
| Implement guardrails and accountability | 10–15% | - Add validation, review, and approval gates - Enforce least privilege and security boundaries - Ensure compliance, safety, and responsible use - Log actions, decisions, and changes for audit |
Microsoft GitHub Agentic AI Developer Sample Questions:
1. You have a GitHub Enterprise Cloud Organization that uses a custom coding agent to run GitHub Actions workflows that create branches, open pull requests, and merge changes after required checks pass.
You need to log all agent-initiated actions and ensure that the logs are retained for two years.
What should you do?
A) Configure audit log streaming to Azure Event Hubs.
B) Enable log forwarding.
C) Enable Git events in the audit log.
D) Configure audit log retention.
2. Hotspot Question
You have a GitHub repository that uses GitHub Actions to validate pull requests opened by the GitHub Copilot coding agent. The workflow runs unit tests and a linter on pull request triggers, and Copilot opens draft pull requests on dedicated branches while iterating by using commits.
You discover that when multiple Copilot sessions push updates to the same pull request branch in quick succession, multiple workflow runs execute concurrently.
You need to enable parallel workflow executions across different pull request branches.
How should you configure workflow-level concurrency? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
3. You need finer control, selecting specific files and describing precise natural-language changes to apply, rather than letting the agent decide the full scope of changes. Which Copilot Chat mode should you use?
A) Ask mode
B) Agent mode
C) Edit mode
D) Plan mode
4. You want to grant the Copilot coding agent access to only a narrowly scoped set of repository permissions (e.g., read code, write pull requests) rather than full admin access. What governs this scope?
A) The /context command
B) copilot-instructions.md
C) The agent's GITHUB_TOKEN permissions, configured per workflow/repo policy
D) .copilotignore
5. You are using GitHub Copilot Chat's agent mode in VS Code and want it to autonomously use tools (terminal, file edits, tests) to complete a multi-step task, checking in with you between major steps. What is this interaction mode called?
A) Inline mode
B) Ask mode
C) Agent mode
D) Edit mode
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: Only visible for members | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: C |
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