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Microsoft GH-600 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Perform evaluation, error analysis, and tuning | 15–20% | - Test, validate, and compare agent results - Diagnose failures, hallucinations, and unexpected behavior - Define metrics and quality standards for outputs - Optimize prompts, tools, and behavior through iteration |
| 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 |
| Prepare agent architecture and SDLC processes | 15–20% | - Plan agent deployment, monitoring, and maintenance - Design agent autonomy and decision boundaries - Integrate agents into software development lifecycle - Define agent purpose, scope, and success criteria |
| Implement guardrails and accountability | 10–15% | - Log actions, decisions, and changes for audit - Ensure compliance, safety, and responsible use - Add validation, review, and approval gates - Enforce least privilege and security boundaries |
| Orchestrate multi-agent coordination | 15–20% | - Prevent conflicts and manage shared resources - Monitor and troubleshoot multi-agent execution - Design workflows for multiple agents - Define communication and handoff protocols |
| Manage memory, state, and execution | 10–15% | - Scope and persist agent state correctly - Choose memory types: short-term, long-term, external - Implement memory cleanup and expiration rules - Handle execution flow, retries, and interruptions |
Microsoft GitHub Agentic AI Developer Sample Questions:
1. 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) Tool/terminal invocation permissions in agent mode
B) MCP server integration
C) CODEOWNERS
D) .copilotignore
2. You want the Copilot coding agent to scan a large codebase and propose a full, human- reviewable step-by-step plan before writing any code. What should you do first?
A) Run /compact
B) Enable --allow-all
C) Configure an MCP server
D) Switch to plan mode
3. During an agentic session, you want to see exactly how many tokens are being consumed by the system prompt, tools, and message history before deciding whether to compact. Which command should you run?
A) /usage
B) /diff
C) /context
D) /tokens
4. You want a reusable, shareable set of instructions that defines a specific persona/workflow (e.g.,
"security reviewer") that developers can invoke on demand in Copilot Chat, rather than instructions applied globally to every session. What should you create?
A) A prompt file (.prompt.md)
B) copilot-instructions.md
C) agents.md
D) .copilotignore
5. You have a private GitHub repository that has Copilot memory enabled.
Several developers who have write access to the repository make changes across multiple branches, including creating some pull requests that are later closed without merging.
Your team needs to understand how GitHub Copilot ensures that only task-relevant, up-to-date information influences code suggestions, even when older memories exist.
How does Copilot manage memories?
A) Copilot stores memories per user, ensuring that only the developer who created a memory can trigger the memory in future sessions.
B) Copilot stores memories indefinitely until a repository administrator deletes them manually.
C) Copilot automatically blocks memory creation from pull requests that are closed without merging, to prevent outdated information from being stored.
D) Copilot validates each memory's citations against the current branch before using the memory, and ignores the memory if the referenced code no longer exists.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: D |







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