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Microsoft GH-600 Exam Syllabus Topics:

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

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                                                  Microsoft Developing in Agentic AI Systems Sample Questions (Q86-Q91):

                                                  NEW QUESTION # 86
                                                  You have a multi-agent GitHub Actions workflow that uploads review artifacts for each run.
                                                  You discover that some workflow run artifacts are being deleted manually.
                                                  You need to use your organization's audit log data to identify which user deleted the artifacts.
                                                  Which audit log search filter should you use?

                                                  Answer: B

                                                  Explanation:
                                                  The filter action:artifact.destroy selects the audit event associated with manual deletion of a workflow artifact. It directly targets the activity described in the scenario, allowing the investigator to examine the recorded actor and associated event details.
                                                  A repository filter narrows the search to a particular repository but does not distinguish artifact deletion from other recorded operations. It can usefully accompany the action filter when investigating a specific project. A workflow-run action concerns workflow execution rather than the manual removal of its stored artifacts. The generic operation:remove option does not select the documented artifact deletion event.
                                                  The investigation should correlate the deletion event with its timestamp and repository information, then inspect the actor recorded for that event. This identifies the account associated with the action; additional context may be needed when an application or automated identity performed it.
                                                  Artifact retention and audit logging serve separate purposes. Retention controls how long outputs are normally preserved, while the audit log records relevant administrative and user activity. Searching the audit log does not restore deleted content.
                                                  Study-guide topics: accountability, evidence preservation, actor attribution, and audit trails. Reference: GitHub-Organization audit log events.


                                                  NEW QUESTION # 87
                                                  Drag and Drop Question
                                                  Your company uses GitHub Copilot Enterprise.
                                                  Developers use GitHub Copilot agent mode in Microsoft Visual Studio Code on their laptops and Copilot Chat on github.com when they are away from their laptops.
                                                  When switching between environments, the developers notice that agent workflows lose continuity because the tools available in Visual Studio Code are unavailable on github.com.
                                                  You need to ensure that the agent tools and state are available consistently across environments and can be used from any device without local setup.
                                                  What should you do for each requirement? To answer, drag the appropriate actions to the correct requirements. Each action 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.

                                                  Answer:

                                                  Explanation:

                                                  Explanation:
                                                  Box 1: Use a Github-hosted Model Context Protocol (MCP) server for cloud-based workflows.
                                                  To ensure tools and states remain identical whether developers are on local laptops or on github.com (or GitHub Mobile), you must deploy Copilot Cloud Agents paired with remote cloud sessions.
                                                  Utilize Cloud Sessions: Shift developers away from local-only agent workflows. Cloud sessions run agents inside isolated, GitHub-hosted cloud environments rather than relying on local machine resources. This permits developers to resume, steer, and monitor active workflows from any device using the browser or the GitHub Copilot App.
                                                  Box 2: Enable MCP servers in Copilot policy
                                                  To ensure that agent tools and states are available consistently across all environments (including github.com) and can be used from any device without local setup, you must Enable MCP servers in Copilot policy.
                                                  Centralized Enforcement: Enabling the Model Context Protocol (MCP) policy at the enterprise or organization level allows administrators to define a central registry of approved tools.
                                                  Cross-Environment Continuity: Once the policy is active and servers are configured in the repository or organization settings, the cloud-based Copilot environment (github.com) natively inherits those exact tools. This removes dependency on individual laptop configurations or local extension states.
                                                  Reference:
                                                  https://docs.github.com/en/copilot/how-tos/administer-copilot/manage-for-enterprise/manage-agents/enable-copilot-cloud-agent
                                                  https://docs.github.com/en/copilot/how-tos/provide-context/use-mcp-in-your-ide/extend-copilot-chat-with-mcp


                                                  NEW QUESTION # 88
                                                  You are about to start a complex refactoring task in the GitHub Copilot CLI.
                                                  Before Copilot makes any changes, you need to review and agree on the approach.
                                                  What should you do first?

                                                  Answer: D

                                                  Explanation:
                                                  GitHub Copilot CLI plan mode is specifically designed for situations in which an implementation strategy must be developed and reviewed before code modifications begin. In plan mode, Copilot can inspect and analyze the repository, ask clarifying questions, and construct a structured implementation plan while protecting project files from normal editing operations. The resulting plan can then be reviewed and approved before Copilot proceeds with implementation. GitHub explicitly describes plan mode as a mechanism for identifying misunderstandings before code is written and maintaining human control over complex, multi-step work.
                                                  Option A is incorrect because --agent=AGENT selects a custom agent; it does not establish a planning-and-approval phase. Option B is the opposite of the requirement: --allow-all grants Copilot broad permission to use tools, paths, and URLs without individual approval. Option D is also incorrect because /compact relates to managing conversation/context size rather than establishing an implementation plan.
                                                  Therefore, switching to plan mode is the appropriate first action when the development process requires human review and agreement before changes are applied.
                                                  Study Guide Reference Topics: Prepare agent architecture and SDLC processes; human-in-the-loop development; planning before implementation; controlled agent execution.


                                                  NEW QUESTION # 89
                                                  Your company uses Microsoft Visual Studio Code and GitHub Copilot Chat.
                                                  You have a GitHub repository that uses main as the default branch. The repository contains a workspace custom agent stored at .github/agents/release-notes.agent.md.
                                                  A developer switches to a branch named branch1 where the agent file does NOT exist. In the same session, the developer switches to a user profile named profile1. profile1 contains a custom agent file named release-notes.agent.md that has user-invocable set to false.
                                                  For each of the following statements, select Yes if the statement is true. Otherwise, select No.
                                                  NOTE: Each correct selection is worth one point.

                                                  Answer:

                                                  Explanation:


                                                  NEW QUESTION # 90
                                                  Hotspot Question
                                                  You have a GitHub repository that uses GitHub Actions for CI.
                                                  Your team is piloting the GitHub Copilot coding agent to autonomously create branches and open pull requests. The repository follows trunk-based development that uses main as the default branch.
                                                  You need to ensure that the agent meets the following requirements:
                                                  - Changes to main can occur only by using pull requests that have at
                                                  least one approval.
                                                  - When a pull request is opened, a validation workflow runs, and the
                                                  agent can still create branches and open pull requests autonomously.
                                                  How should you configure the repository? To answer, select the appropriate options in the answer area.
                                                  NOTE: Each correct selection is worth one point.

                                                  Answer:

                                                  Explanation:

                                                  Explanation:
                                                  Box 1: Enabled
                                                  To meet the requirements, the Branch protection rule (main) - Require pull request before merging must be Enabled. This forces everyone-including GitHub Actions and AI agents-to create a branch and open a pull request first.
                                                  Box 2: on: pull_request
                                                  To allow your GitHub Copilot agent to autonomously open PRs while maintaining branch protection, you must trigger your validation workflow on the pull_request event.
                                                  Bypasses Protection: Agents cannot push directly to main due to your branch protection rule.
                                                  They must create a feature branch and open a PR.Triggers on Creation: The pull_request trigger fires automatically the moment the agent opens a PR.Runs in Isolation: It validates the merged result of the agent's branch and main before any actual code is merged.
                                                  Reference:
                                                  https://tutorialsdojo.com/github-copilot-coding-agent/


                                                  NEW QUESTION # 91
                                                  ......

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