Study and Prepare with Microsoft GH-600 study material, That's Easy to pass With PracticeMaterial!
Updated: Sep 18, 2026
No. of Questions: 111 Questions & Answers with Testing Engine
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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Developing in Agentic AI Systems |
| Exam Number: | GH-600 |
| Exam Format: | Multiple choice, Performance-based/lab tasks, Scenario-based, Multiple select |
| Passing Score: | 700 |
| Exam Duration: | 120–150 |
| Exam Price: | USD 100 |
| Real Exam Qty: | 40–60 |
| Certificate Validity Period: | 2 years |
| Related Certifications: | Microsoft Certified: Azure AI Engineer Associate Microsoft Certified: Azure Developer Associate |
| Available Languages: | English |
| Recommended Training: | Azure AI Foundry Documentation Semantic Kernel Documentation GH-600 Learning Paths on Microsoft Learn |
| Exam Registration: | Microsoft GH-600 Exam Registration Pearson VUE Registration |
| Sample Questions: | Microsoft GH-600 Sample Questions |
| Exam Way: | Online proctored or Pearson VUE test center |
| Pre Condition: | Recommended: AZ-204 (Azure Developer Associate) or AI-102 (Azure AI Engineer Associate); proficiency in Python or C# and Azure development experience |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/certifications/exams/gh-600 |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Test, deploy, and monitor agentic AI systems | 20% | - Validate agent performance and safety
|
| Topic 2: Integrate tools, data, and services | 25% | - Connect data sources and knowledge bases
|
| Topic 3: Design agentic AI solutions | 25% | - Define requirements for agentic systems
|
| Topic 4: Implement agents and multi-agent systems | 30% | - Build agents with Azure AI tools and frameworks
|
You need to troubleshoot the issue reported by Dev1.
What should you review?
Correct Answer: C 🗳️
Explanation: Only visible for PracticeMaterial members. You can sign-up / login (it's free).
Your team uses a remote GitHub Model Context Protocol (MCP) server for workflows in the software development life cycle (SDLC).
You need to commit a workspace-scoped MCP configuration to ensure that GitHub Copilot can connect to the GitHub-hosted MCP endpoint and authenticate by using a GitHub personal access token (PAT).
How should you complete the mcp.json configuration file? 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:

You have a GitHub repository that uses the GitHub Copilot coding agent.
You need to complete the hooks configuration to meet the following requirements:
Tool usage must be evaluated before execution.
Build results must be logged after execution.
Tool usage must be logged after execution.
How should you complete the hooks configuration? To answer, drag the appropriate values to the correct targets.
Correct Answer:

You have a GitHub repository that runs an agentic software development lifecycle workflow by using GitHub Actions. The workflow uses the following three executors implemented as scripts: spec_analyzer, risk_reviewer, and plan_merger.
You need to coordinate multiple specialized agents so that analysis and risk review run in parallel and then a final executor merges the outputs into a single plan. The orchestration pattern must fan out one request to multiple executors and then fan in the results to a final executor.
How should you complete the workflow definition? To answer, drag the appropriate values to the correct targets.
Correct Answer:

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?
Correct Answer: D 🗳️
Explanation: Only visible for PracticeMaterial members. You can sign-up / login (it's free).
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