GH-600 Fragen Beantworten - GH-600 Musterprüfungsfragen

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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. Evaluate quality metrics and iterate
    • 2. Apply guardrails and content safety
      • 3. Test reasoning accuracy and consistency
        - Deploy and monitor agents at scale
        • 1. Optimize cost, latency, and throughput
          • 2. Implement logging, telemetry, and observability
            • 3. Deploy to Azure AI and cloud environments
              Topic 2: Integrate tools, data, and services25%- Incorporate external tools and APIs
              • 1. Handle authentication and error resilience
                • 2. Implement function calling and service integration
                  • 3. Design and register tool definitions
                    - Connect data sources and knowledge bases
                    • 1. Ensure data security and access control
                      • 2. Integrate vector databases and search
                        • 3. Implement retrieval-augmented generation (RAG)
                          Topic 3: 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. Design memory and state management
                                  • 2. Plan tool integration and orchestration
                                    • 3. Select agent patterns and topologies
                                      Topic 4: Implement agents and multi-agent systems30%- Orchestrate multi-agent collaboration
                                      • 1. Implement workflows and coordination strategies
                                        • 2. Define communication protocols between agents
                                          • 3. Manage agent handoffs and task distribution
                                            - 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

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                                                  Microsoft Developing in Agentic AI Systems GH-600 Prüfungsfragen mit Lösungen (Q71-Q76):

                                                  71. Frage
                                                  You have a GitHub Enterprise Cloud Organization that uses GitHub Actions for CI/CD.
                                                  You plan to enable an agent to update and deploy workflows that access production environment secrets.
                                                  You need to select an autonomy level for a compliance-sensitive workflow.
                                                  Which autonomy level should you select?

                                                  Antwort: D

                                                  Begründung:
                                                  Human-in-the-loop with required manual approvals for production is the most appropriate autonomy level.
                                                  Compliance and Security: Compliance frameworks (such as SOC 2 or ISO 27001) heavily emphasize the principle of least privilege and strict separation of duties. Allowing an automated agent to fully modify and deploy workflows that handle production secrets creates a severe security risk.
                                                  Risk Mitigation: Forcing a human-in-the-loop via GitHub Environment Protection Rules ensures that a trusted team member must manually inspect and approve the execution before sensitive production secrets are exposed or changes are deployed.
                                                  Reference:
                                                  https://docs.opsmx.com/remediation-agents/devops-agent-argonaut


                                                  72. Frage
                                                  You have a GitHub repository that uses a GitHub Actions workflow to run an agent-driven change plan as part of a CI pipeline. The workflow generates an artifact named plan.json that includes a field named risk. risk has possible values of low, medium, or high.
                                                  You need to ensure that a human must confirm the execution of the workflow when risk is medium or high. The workflow must proceed automatically only when risk is low.
                                                  How should you complete the workflow? 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.

                                                  Antwort:

                                                  Begründung:


                                                  73. Frage
                                                  A team assigns an issue to the GitHub Copilot coding agent by using the following one-line description: Fix the login bug.
                                                  Copilot creates a pull request, but the pull request is missing changes and has an incorrect scope.
                                                  How should you resolve the issue?

                                                  Antwort: A

                                                  Begründung:
                                                  Adding a clear description of the problem to the issue will directly remedy this problem.Coding agents like GitHub Copilot rely heavily on the context, details, and constraints provided in the issue to understand what needs to be fixed. A one-line description like "Fix the login bug" is too vague, leading to guesswork, incorrect scope, and incomplete code changes.
                                                  Defines Scope: Explicitly stating what is broken prevents the agent from changing unrelated files.
                                                  Identifies the Root Cause: Providing error logs or steps to reproduce guides the agent to the exact lines of code that need fixing.
                                                  Sets Expectations: Specifying the expected correct behavior ensures the agent generates all the necessary changes, preventing missing code.
                                                  Reference:
                                                  https://docs.github.com/en/copilot/how-tos/use-copilot-agents/cloud-agent/troubleshoot-cloud-agent


                                                  74. Frage
                                                  You assigned an issue to the Copilot coding agent, and it opened a pull request. You want to inspect exactly what code changes were made before merging. Which CLI slash command lets you view the change set directly in the terminal?

                                                  Antwort: D

                                                  Begründung:
                                                  /diff shows the file-level changes the agent has made during the session, letting you review modifications before committing or merging, without leaving the terminal.


                                                  75. Frage
                                                  Hotspot Question
                                                  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-invokable 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.

                                                  Antwort:

                                                  Begründung:

                                                  Explanation:
                                                  Box 1: No
                                                  The agent will not appear in the agents dropdown with a display name of release-notes because the developer is currently on branch1 and profile1, which effectively hides it.
                                                  Box 2: No
                                                  The workspace version of the release-notes agent will not be available in the agents dropdown when the developer is on branch2.
                                                  Box 3: No
                                                  The user profile agent will not appear in the agents dropdown, nor will it override a workspace agent in this scenario.
                                                  Reference:
                                                  https://code.visualstudio.com/docs/agent-customization/custom-agents


                                                  76. Frage
                                                  ......

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                                                  GH-600 Musterprüfungsfragen: https://www.pruefungfrage.de/GH-600-dumps-deutsch.html