Microsoft GH-600 Questions & Answers - in .pdf
- Total Q&A: 111
- Update: Sep 22, 2026
- Price: $59.99
- Vendor: Microsoft
- Exam Code: GH-600
- Exam Name: Developing in Agentic AI Systems
- Features:
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- Complete Microsoft Recommended Syllabus.
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- Exact Microsoft GH-600 Exam Questions with Correct Answers, verified by Experts with years of Experience in IT Field.
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Microsoft GH-600 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Test, deploy, and monitor agentic AI systems | 20% | - Validate agent performance and safety
- 1. Apply guardrails and content safety
- 2. Test reasoning accuracy and consistency
- 3. Evaluate quality metrics and iterate
- Deploy and monitor agents at scale
- 1. Optimize cost, latency, and throughput
- 2. Deploy to Azure AI and cloud environments
- 3. Implement logging, telemetry, and observability
|
| Topic 2: Implement agents and multi-agent systems | 30% | - Orchestrate multi-agent collaboration
- 1. Implement workflows and coordination strategies
- 2. Manage agent handoffs and task distribution
- 3. Define communication protocols between agents
- Build agents with Azure AI tools and frameworks
- 1. Integrate models and prompts
- 2. Implement agent logic and reasoning
- 3. Develop using Semantic Kernel and Azure AI Foundry
|
| Topic 3: Design agentic AI solutions | 25% | - Design agent architecture
- 1. Plan tool integration and orchestration
- 2. Select agent patterns and topologies
- 3. Design memory and state management
- Define requirements for agentic systems
- 1. Identify use cases and scenarios
- 2. Plan for responsible AI and governance
- 3. Define functional and non-functional requirements
|
| Topic 4: Integrate tools, data, and services | 25% | - Connect data sources and knowledge bases
- 1. Implement retrieval-augmented generation (RAG)
- 2. Ensure data security and access control
- 3. Integrate vector databases and search
- Incorporate external tools and APIs
- 1. Handle authentication and error resilience
- 2. Implement function calling and service integration
- 3. Design and register tool definitions
|
Microsoft Developing in Agentic AI Systems Sample Questions:
Question #1
You have multiple GitHub Copilot coding agents that run tasks concurrently.
You are monitoring the agents from the terminal by using the GitHub CLI.
An agent appears stalled.
You need to live stream the session log output.
What should you do?
A. Run gh agent-task list and specify the --status and --jq parameters.
B. Run gh agent-task list and specify the --web parameter.
C. Run gh agent-task view and specify the --log and --jq parameters.
D. Run gh agent-task view and specify the --log and --follow parameters.
Question #2
You have a GitHub Copilot coding agent named Orchestrator that runs a multi-phase workflow by using the following subagents:
Explorer gathers context by using read-only tools.
Modifier applies focused edits.
You are adding a new agent named Summarizer that generates a concise summary after modifications are complete. Summarizer includes the following YAML frontmatter:
---
name: Summarizer
description: Produce a concise summary of recent changes
tools: ['fetch']
user-invocable: false
disable-model-invocation: true
---
The Orchestrator agent lists all three agents in its agents property.
After adding the Summarizer agent, Orchestrator successfully runs Explorer and Modifier but fails to run Summarizer.
What is a possible cause of the failure?
A. Orchestrator cannot call Summarizer because user-invocable is set to false.
B. Summarizer cannot be invoked as a subagent because disable-model-invocation is set to true.
C. Summarizer is missing the editing tools required to complete the workflow.
D. Orchestrator is missing a handoff entry to trigger Summarizer.
Question #3
You need to troubleshoot the issue reported by Dev1.
What should you review?
A. The agent session log in the Agents panel.
B. The GitHub Actions usage metrics of repo1.
C. The GitHub Actions runner log for the session job.
D. The GITHUB_TOKEN permissions block in the agent1 workflow.
Question #4
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.

Question #5
You need to resolve the scoping issue associated to agent1.
What should you do?
A. To the profile of agent1, add a custom instruction specifying that the agent must NOT access billing-service or infra-terraform.
B. Create a ruleset for billing-service and infra-terraform that blocks push access from the github-actions bot account.
C. Add a permissions block to the agent1 workflow in product-api.
D. Create a fine-grained personal access token (PAT) scoped to product-api and store the PAT as a GitHub Actions secret for agent1 to use.
Solutions:
Question #1 Correct Answer: D | Question #2 Correct Answer: D | Question #3 Correct Answer: A | Question #4 Correct Answer: Only visible for members | Question #5 Correct Answer: D |
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