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Microsoft GH-600 Exam Syllabus Topics:

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

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                                                  Microsoft Developing in Agentic AI Systems Sample Questions (Q97-Q102):

                                                  NEW QUESTION # 97
                                                  You have a GitHub repository.
                                                  Developers use the GitHub Copilot CLI and repository-scoped hooks under .github/hooks/*.json.
                                                  You need to allow the Copilot CLI to automatically run low-risk Bash commands. The solution must prevent the autonomous execution of high-risk commands, such as sudo, rm -rf, and curl ... | bash.
                                                  What should you do?

                                                  Answer: C

                                                  Explanation:
                                                  A preToolUse hook evaluates the proposed command before the shell tool executes it. The hook can inspect command arguments and return permissionDecision: "deny" when a pattern indicates a high-risk operation, while allowing low-risk commands to continue automatically.
                                                  This is the correct enforcement point because the requirement is preventive. A policy banner only informs the user or agent; it cannot block execution. Logging submitted prompts provides audit information but does not evaluate the actual shell command. Ignoring the hooks directory simply removes the repository-scoped enforcement mechanism.
                                                  The hook should use precise matching rules. For example, it can deny sudo, destructive recursive deletion, and piping untrusted remote content into a shell, while allowing commands such as git status, package metadata inspection, and test execution. Rules should avoid broad string matching that blocks harmless commands merely because they contain similar text.
                                                  Study-guide topics: pre-execution guardrails, shell-command approval, policy enforcement, and autonomous tool safety. Reference: GitHub Copilot-Hooks reference.


                                                  NEW QUESTION # 98
                                                  You have a GitHub repository that uses the following GitHub Copilot CLI command in a Bash script.
                                                  #!/usr/bin/env bash
                                                  set -euo pipefail
                                                  PROMPT="Update dependencies, run tests, and open a pull request if changes are needed." copilot --autopilot --yolo --max-autopilot-continues 10 -p "$PROMPT" 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 # 99
                                                  Drag and Drop Question
                                                  You have a GitHub repository that has a GitHub Actions workflow. The workflow runs an AI agent.
                                                  You need to ensure that the default GITHUB_TOKEN permissions are read-only, and write access is granted to only the job that performs repository write operations. The workflow must be able to create and approve pull requests only when explicitly enabled.
                                                  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.

                                                  Answer:

                                                  Explanation:

                                                  Explanation:
                                                  How should you complete the workflow?
                                                  Box 1: contents: read
                                                  Set Global Read-Only Permissions
                                                  To enforce the principle of least privilege, the top-level permissions block must strip all default write capabilities from the GITHUB_TOKEN. Setting contents: read allows the workflow to fetch the code but prevents any accidental repository modifications.
                                                  Box 2: contents: write
                                                  Grant Job-Level Write Access
                                                  Only the specific job responsible for modifying the repository should receive write access. The update_artifacts job requires permission to push code modifications back to the repository.
                                                  Box 3: pull-requests: write
                                                  To successfully create and approve pull requests, you must explicitly enable this capability in your GitHub repository settings:
                                                  Reference:
                                                  https://docs.github.com/en/organizations/managing-organization-settings/disabling-or-limiting-github-actions-for-your-organization


                                                  NEW QUESTION # 100
                                                  You have a GitHub repository that stores custom GitHub Copilot agents in the .github/agents/ folder.
                                                  You have an agent named lead-dev.agent.md that must invoke a specialist subagent named security-reviewer.
                                                  Evaluation results show that lead-dev attempts to invoke security-reviewer, but the subagent call fails to run.
                                                  You need to ensure that lead-dev can invoke security-reviewer.
                                                  How should you complete the YAML frontmatter of the agent profile? To answer, drag the appropriate values to the correct targets.

                                                  Answer:

                                                  Explanation:


                                                  NEW QUESTION # 101
                                                  After several long agentic sessions, you notice degraded response quality and want the agent to retain a concise summary of prior progress rather than the full raw history, while continuing without interruption. Which approach addresses this?

                                                  Answer: C

                                                  Explanation:
                                                  /compact summarizes the existing conversation history via the model and replaces the raw history with the condensed summary, preserving continuity and prior progress while freeing up context window space -- unlike /clear, which discards everything.


                                                  NEW QUESTION # 102
                                                  ......

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