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Microsoft GH-600 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement agents and multi-agent systems30%- Build agents with Azure AI tools and frameworks
  • 1. Implement agent logic and reasoning
    • 2. Integrate models and prompts
      • 3. Develop using Semantic Kernel and Azure AI Foundry
        - Orchestrate multi-agent collaboration
        • 1. Implement workflows and coordination strategies
          • 2. Manage agent handoffs and task distribution
            • 3. Define communication protocols between agents
              Topic 2: Design agentic AI solutions25%- Define requirements for agentic systems
              • 1. Identify use cases and scenarios
                • 2. Define functional and non-functional requirements
                  • 3. Plan for responsible AI and governance
                    - Design agent architecture
                    • 1. Select agent patterns and topologies
                      • 2. Design memory and state management
                        • 3. Plan tool integration and orchestration
                          Topic 3: Test, deploy, and monitor agentic AI systems20%- Deploy and monitor agents at scale
                          • 1. Implement logging, telemetry, and observability
                            • 2. Optimize cost, latency, and throughput
                              • 3. Deploy to Azure AI and cloud environments
                                - Validate agent performance and safety
                                • 1. Test reasoning accuracy and consistency
                                  • 2. Evaluate quality metrics and iterate
                                    • 3. Apply guardrails and content safety
                                      Topic 4: Integrate tools, data, and services25%- Connect data sources and knowledge bases
                                      • 1. Implement retrieval-augmented generation (RAG)
                                        • 2. Integrate vector databases and search
                                          • 3. Ensure data security and access control
                                            - Incorporate external tools and APIs
                                            • 1. Handle authentication and error resilience
                                              • 2. Implement function calling and service integration
                                                • 3. Design and register tool definitions

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                                                  Microsoft Developing in Agentic AI Systems Sample Questions (Q102-Q107):

                                                  NEW QUESTION # 102
                                                  A developer uses the GitHub Copilot CLI in plan mode.
                                                  Copilot produces a plan.
                                                  What does Copilot do next?

                                                  Answer: D

                                                  Explanation:
                                                  In plan mode, Copilot creates a plan before implementation and saves that plan to plan.md. This makes the proposed approach available for review, refinement, and continuation rather than immediately executing repository changes.
                                                  The plan file creates a durable handoff point between planning and implementation. A developer can inspect the proposed work, assess dependencies and risk, adjust tasks, and decide whether implementation should proceed. This separation is essential for workflows that require approval before modification.
                                                  Plan mode does not automatically open a pull request or create a branch. It also does not begin implementation simply because a plan was generated. Those actions require a subsequent transition to an implementation workflow or a direct instruction from the user.
                                                  Study-guide topics: planning mode, durable plans, state persistence, and staged agent execution.


                                                  NEW QUESTION # 103
                                                  You have a GitHub repository that uses GitHub Actions for CI on pull requests. The repository contains a Node.js app.
                                                  You have a GitHub Copilot coding agent that opens pull requests for backlog items, and your company requires automated checks for agent-generated changes.
                                                  You plan to standardize success criteria so that pull requests created by agents only succeed when unit tests pass and CodeQL analysis completes.
                                                  You need to configure a GitHub Actions workflow that runs on pull requests, executes unit tests, and performs CodeQL analysis.
                                                  How should you complete the workflow? To answer, drag the appropriate values to the correct targets.

                                                  Answer:

                                                  Explanation:


                                                  NEW QUESTION # 104
                                                  You have a GitHub repository that uses GitHub Actions to run an autonomous coding-agent workflow.
                                                  Your team requires that session logs be captured as workflow artifacts so that agent runs can be audited and traced back to a specific execution and code state.
                                                  How should you complete the workflow? To answer, drag the appropriate values to the correct targets.

                                                  Answer:

                                                  Explanation:


                                                  NEW QUESTION # 105
                                                  You have a GitHub Enterprise repository that runs an autonomous agent by using a GitHub Actions workflow. The workflow has the following jobs:
                                                  - agent-run that generates trace.json and plan.md
                                                  - review that waits for human approval before continuing
                                                  - deploy that uses the outputs from agent-run
                                                  You need to make the files inspectable in the GitHub Actions UI and ensure that the files are available to the review and deploy jobs.
                                                  What should you do in the workflow?

                                                  Answer: C


                                                  NEW QUESTION # 106
                                                  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?

                                                  Answer: A

                                                  Explanation:
                                                  To ensure all agent-initiated actions are preserved for two years, you must configure GitHub audit log streaming to an external log management platform or cloud storage provider.
                                                  By default, GitHub Enterprise Cloud only retains audit logs for 180 days and Git events for 7 days. Because the custom agent performs high-level platform modifications (such as branch creation, opening pull requests, and merges), native retention is insufficient. External streaming is the standard, secure way to enforce long-term compliance.
                                                  Reference:
                                                  https://docs.github.com/en/enterprise-cloud@latest/admin/monitoring-activity-in-your-enterprise/reviewing-audit-logs-for-your-enterprise/streaming-the-audit-log-for-your-enterprise


                                                  NEW QUESTION # 107
                                                  ......

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