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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design agentic AI solutions | 25% | - Define requirements for agentic systems
|
| Topic 2: Integrate tools, data, and services | 25% | - Incorporate external tools and APIs
|
| Topic 3: Implement agents and multi-agent systems | 30% | - Build agents with Azure AI tools and frameworks
|
| Topic 4: Test, deploy, and monitor agentic AI systems | 20% | - Validate agent performance and safety
|
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NEW QUESTION # 35
While upgrading App1, the agent identifies 47 issues, including a security vulnerability, and 46 API incompatibilities across different projects.
Which two actions are unsafe to delegate to the agent and require human involvement? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Answer: B,E
Explanation:
The intended distinction is between delegating analytical work and allowing the agent to provide the final approval of its own work. Approving all Git commits would remove independent review of changes that include security-sensitive remediation and compatibility modifications across multiple projects.
Human validation of assessment.md is similarly important because the assessment determines the scope and direction of the upgrade. Incorrectly classified dependencies, missed projects, or an incomplete vulnerability analysis can propagate into the implementation plan. Microsoft's guidance explicitly recommends reviewing the assessment for missing projects, problematic dependencies, and application-specific concerns before proceeding.
Generating the assessment and checking whether a task file exists are appropriate automated activities. An agent can also inspect the plan's dependency relationships and flag potential ordering problems. Such assistance does not transfer final accountability for accepting the plan.
The wording should not be interpreted as prohibiting automated assessment validation. Agents can run valuable consistency checks; the unsafe delegation is treating those checks as sufficient independent approval of their own conclusions.
Study-guide topics: human oversight, independent validation, and approval boundaries. Reference: Microsoft Learn-Best practices for GitHub Copilot upgrade.
NEW QUESTION # 36
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 # 37
You have a GitHub Enterprise organization that has Copilot memory enabled.
You create a new repository.
What are two ways that memories will be deleted from the repository? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Answer: B,C
Explanation:
GitHub Copilot repository memories can be removed manually and through automatic retention cleanup. Repository owners or administrators can review repository-level facts under the repository's Copilot Memory settings and delete stored facts that are obsolete, misleading, or no longer appropriate. This makes A a valid deletion mechanism.
D is also correct. GitHub applies an inactivity-based retention policy: a stored repository fact or user preference that goes unused for 28 days is automatically deleted. The 28-day period can restart when Copilot successfully validates and uses that memory, so this should be understood as an unused-memory expiration period rather than an unconditional deletion exactly 28 days after creation.
Deleting the source code referenced by a memory does not directly delete that memory. Repository-level facts retain citations and are validated against the current branch before use; if the supporting information is no longer valid, Copilot does not use the fact. Likewise, archiving a repository or merging a pull request is not documented as an automatic memory-deletion event.
Study Guide Reference Topics: Manage Memory, State, and Execution; repository memory lifecycle; memory validation; memory retention and deletion; persistent agent knowledge.
NEW QUESTION # 38
You are debugging an agentic workflow that intermittently fails specific tool calls with rate-limit errors when connecting to an internal MCP server. What is the most direct remediation?
Answer: D
Explanation:
Rate-limit errors from a tool call indicate the MCP server's quota configuration is being exceeded; adjusting the server's rate limits addresses the root cause, unlike context-management or permission commands.
NEW QUESTION # 39
You have a GitHub repository that uses the GitHub Copilot coding agent.
You need to complete the hooks configuration to meet the following requirements:
Tool usage must be evaluated before execution.
Build results must be logged after execution.
Tool usage must be logged after execution.
How should you complete the hooks configuration? To answer, drag the appropriate values to the correct targets.
Answer:
Explanation:
NEW QUESTION # 40
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