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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement tool use and environment interaction | 20-25% | - Operate agents with safe execution paths and robust error handling
|
| Topic 2: Manage memory, state, and execution | 10-15% | - Persist agent state and manage context drift
|
| Topic 3: Implement guardrails and accountability | 10-15% | - Define autonomy levels
|
| Topic 4: Prepare agent architecture and SDLC processes | 15-20% | - Define boundaries between planning, reasoning, and action
|
| Topic 5: Orchestrate multi-agent coordination | 15-20% | - Detect and respond to multi-agent failures and degraded behavior
|
| Topic 6: Perform evaluation, error analysis, and tuning | 15-20% | - Tune agent behavior based on evaluation results
|
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NEW QUESTION # 74
You are analyzing the following agent logs.
2026-03-19 21:00:59.905 [info] ccreq:6343bff1.copilotmd | success | gpt-5.3-codex | 10385ms | [panel/editAgent]
2026-03-19 21:01:09.644 [info] ccreq:4612e90d.copilotmd | success | gpt-5.3-codex | 9806ms | [panel/editAgent]
2026-03-19 21:01:09.856 [info] [ToolCallingLoop] Stop hook result: shouldContinue=false, reasons=undefined
2026-03-19 21:01:30.816 [info] ccreq:9dcd0468.copilotmd | success | gpt-5.3-codex | 5489ms | [panel/editAgent]
2026-03-19 21:01:31.475 [error] Error from tool mcp_microsoftdocs_microsoft_docs_search with args
{"query":"VS Code custom agent name from frontmatter and filename behavior"}:
Cannot read properties of undefined (reading 'invoke'):
TypeError: Cannot read properties of undefined (reading 'invoke')
You need to classify the error in a report for your company's CTO.
How should you classify the error?
Answer: C
Explanation:
C is the closest available classification because the explicit failure occurs during a tool invocation. The log identifies the Microsoft documentation search tool and records a JavaScript TypeError involving an undefined object's invoke property. The preceding successful model requests do not establish successful tool execution; model generation and external tool invocation are separate operations.
For an operational report, the more precise description is tool invocation or integration failure. The evidence does not prove that the agent selected an inappropriate tool or supplied invalid arguments. An undefined invocation object can also result from an extension defect, stale tool registration, or another runtime integration problem. Therefore, "tool misuse" should be understood as the question's broad tool-related category rather than a proven agent-behavior defect.
A network classification would require supporting evidence such as connection failure, DNS errors, or an HTTP response. A reasoning or context classification would require evidence that the agent's interpretation or supplied information caused the failure.
The next diagnostic step is to inspect the MCP server's output and registration state.
Relevant curriculum topics are classifying failure causes and distinguishing model behavior from tool and environment failures.
Reference:
NEW QUESTION # 75
You have a GitHub repository that uses the GitHub Copilot coding agent to run agent plans for assigned issues.
You discover that some issues contain ambiguous implementation steps.
You need to reduce the likelihood that Copilot executes plans based on ambiguous implementation steps.
What should you do?
Answer: A
Explanation:
The most effective intervention occurs before the issue becomes an executable assignment. Acceptance criteria define the observable conditions that constitute success, while implementation directions establish boundaries and clarify how the work should proceed. Providing both before assignment reduces the need for the agent to infer missing requirements during planning.
Applied to this scenario, the issue should distinguish required outcomes from optional improvements and identify constraints that the implementation must respect. Where steps are ambiguous, the author should resolve the ambiguity or explicitly require clarification before execution. Reviewable criteria also give the agent and maintainers a shared basis for evaluating whether the resulting changes satisfy the original request.
Options A and D intervene after assignment or execution has begun. They may support later correction, but they do not prevent the initial plan from being based on unclear directions. Option C addresses dependency availability, which is a separate environmental concern.
The governing design principle is to make the task sufficiently definite before delegating action. Relevant curriculum topics include defining inputs and success criteria, validating agent plans, and separating preparation from execution.
Reference:
NEW QUESTION # 76
Hotspot Question
Your company uses GitHub Copilot custom agents in Microsoft Visual Studio Code.
The company also uses the Copilot coding agent on GitHub issues.
You have a file named .planner.agent.md that defines an agent named planner.planner has tools set to ['search', 'read', 'fetch']. There are explicit instructions NOT to write or modify any code. The file also defines a handoff labeled Start Implementation to an agent named implementer and sets send to false.
Developers report that after the planner agent produces a plan, implementation sometimes starts immediately in the same conversation, and code changes appear without an explicit agent switch.
When Copilot-created pull requests stall, maintainers review the pull request timeline and session logs. Several stalled sessions show outbound network commands blocked by a firewall, and the repositories do NOT contain a .github/copilot-instructions.md file.
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:
Explanation:
Box 1: No
The configuration of the planner agent alone does not explicitly or fully prevent code changes from being produced automatically in the same conversation.
Box 2: No
No, removing the search tool will not resolve the issue, because the planner agent is not the one executing the network requests or writing the code.
The underlying problem is that the handoff configuration has an logic error (send: false), which prevents a clean, explicit agent migration. Because of this, the implementer agent takes over implicitly within the same conversation session, executing background code changes and attempting blocked internet calls.
Box 3: No
No, adding a .github/copilot-instructions.md file demanding tests and linters will not mitigate the stalled pull requests.
The root cause of your stalling pull requests is an underlying network connectivity issue, not a procedural omission by the agent.
Reference:
https://docs.github.com/en/copilot/concepts/agents/cloud-agent/about-custom-agents
NEW QUESTION # 77
You have a GitHub Enterprise Cloud repository that uses the GitHub Copilot coding agent to implement changes by creating draft pull requests in a firewalled GitHub Actions environment.
Repository administrators add a Model Context Protocol (MCP) server configuration so that the agent can query an external system while it executes issues. The MCP server requires an API key, and the key must be provided to the MCP server as an environment variable when the server starts.
You create an environment secret named copilot_mcp_api_key that contains the API key.
You need to configure the repository to ensure that the MCP server receives the API key at runtime. The solution must ensure that only the intended secret is available to the MCP configuration.
What is the best option to use to achieve the goal?
Answer: E
Explanation:
An environment variable mapping connects the defined environment secret to the exact environment variable required by the MCP server at startup. This allows the MCP server to receive the API key without embedding the secret's value in repository configuration.
A default environment variable is not sufficiently targeted because it can expose data more broadly than necessary. An Actions repository secret is a secret storage mechanism, but the scenario already uses an environment secret and requires controlled injection into the MCP server process. The JSON configuration should reference the mapping or variable name; it must not contain the raw key value.
The mapping provides the least-privilege boundary: only the intended secret is made available, under the expected variable name, to the MCP process that needs it. It also supports credential rotation because the stored secret can be replaced without modifying committed MCP configuration.
Study-guide topics: MCP credential injection, environment secrets, least privilege, and secure tool startup.
NEW QUESTION # 78 
Answer:
Explanation:
NEW QUESTION # 79
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