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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design agentic AI solutions | 25% | - Define requirements for agentic systems
|
| Topic 2: Test, deploy, and monitor agentic AI systems | 20% | - Deploy and monitor agents at scale
|
| Topic 3: Integrate tools, data, and services | 25% | - Incorporate external tools and APIs
|
| Topic 4: Implement agents and multi-agent systems | 30% | - Orchestrate multi-agent collaboration
|
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NEW QUESTION # 48
Your team uses a remote GitHub Model Context Protocol (MCP) server for workflows in the software development life cycle (SDLC).
You need to commit a workspace-scoped MCP configuration to ensure that GitHub Copilot can connect to the GitHub-hosted MCP endpoint and authenticate by using a GitHub personal access token (PAT).
How should you complete the mcp.json configuration file? 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:
NEW QUESTION # 49
You have a GitHub repository.
You use the GitHub Copilot CLI to run an agentic workflow from the terminal.
During execution, the conversation history approaches the context limit. The agent cannot continue the current session unless the amount of retained context is reduced.
You need to continue the current session without losing all prior progress.
Which Copilot CLI slash command should you run?
Answer: B
Explanation:
The /compact command reduces the active conversation context while preserving a condensed summary of the important work completed so far. It is designed for long-running agent sessions that approach the context-window limit.
/clear would remove the session context rather than preserve the useful implementation history. This creates a sharper loss of continuity and does not meet the requirement to retain prior progress. /yolo concerns approval behavior, not context reduction. /context is used to inspect or manage context information but does not perform the required compaction.
Compaction is most effective when durable project state already exists in repository artifacts: source changes, commits, task files, plans, and test outputs. The summarized context can then retain decisions and current goals while the repository continues to hold the detailed implementation record.
Study-guide topics: context compaction, long-running sessions, durable state, and execution continuity.
NEW QUESTION # 50
You need to enable Copilot memory to support the planned changes.
What should you configure?
Answer: A
NEW QUESTION # 51
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 # 52
Before App1 is upgraded, you need to verify each individual upgrade step and whether all tests have passed.
Which file should you use?
Answer: A
Explanation:
The tasks.md file is the execution-tracking document for the upgrade scenario. It records individual tasks, their validation criteria, and their completion status. Microsoft's upgrade walkthrough specifically directs users to review this file when checking the status of every upgrade step.
A task can include several concrete verification activities, such as restoring dependencies, building the solution, correcting compilation errors, running the test suite, and rerunning tests after fixes. Reviewing these entries reveals whether implementation has merely been attempted or has satisfied the defined checks.
The assessment identifies upgrade issues and scope; it does not serve as the live record of completed work. A plan describes intended actions and ordering, which also differs from evidence that execution and testing succeeded.
The phrase "before App1 is upgraded" requires temporal care. Before execution, tasks.md identifies the steps and checks that must be performed. It cannot prove that future tests have already passed. Completion and test results become available as the agent executes and updates the tasks.
Study-guide topics: execution validation, task status, and acceptance criteria. Reference: Microsoft Learn-Execute and verify a Copilot upgrade.
NEW QUESTION # 53
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