구매 전에 자료의 품질을 직접 확인하고 싶으시다면 Fast2test의 무료 샘플을 이용해 보시기 바랍니다. CCAR-F 연습문제 191문항 중 일부를 미리 체험해 보고 Anthropic Claude Certified Architect - Foundations 준비 방향을 잡으실 수 있습니다.

Anthropic CCAR-F 시험 개요:

Anthropic CCAR-F 시험 요강 주제:

CCAR-F 시험에 대해 궁금한 점을 모았습니다

최신 Claude Certified Architect CCAR-F 무료샘플문제

문제 #1

You are building developer productivity tools using the Claude Agent SDK. The agent helps engineers explore unfamiliar codebases, understand legacy systems, generate boilerplate code, and automate repetitive tasks. It uses the built-in tools (Read, Write, Bash, Grep, Glob) and integrates with Model Context Protocol (MCP) servers.
After adding an MCP server with specialized code refactoring tools (extract_function, rename_variable, inline_function), You notice the agent still uses basic text manipulation via Write and Bash sed commands for refactoring tasks. The MCP server is connected and healthy.
Examining the configuration, you find each MCP tool has a minimal description like
"extract_function: Extracts a function from code."
What's the most effective way to improve adoption of the MCP refactoring tools?

A. Enhance the MCP tool descriptions to explain when each tool is preferable to text manipulation and clarify expected inputs and outputs.
B. Implement a request classifier that detects refactoring intent and automatically routes those requests to the MCP server before the agent processes them.
C. Accept this as expected behavior since simpler tools like sed are more predictable than specialized refactoring tools.
D. Remove the Write tool from the agent's configuration for refactoring sessions so it must use the MCP tools for code modifications.

문제 #2

A developer wants Claude to explain every reasoning step internally before answering. Why might this request be inappropriate?

A. Internal reasoning should not be relied upon as an application feature.
B. Temperature prevents explanations.
C. Claude requires GPU acceleration.
D. JSON cannot contain reasoning.

문제 #3

Your control_device tool manages smart home devices through external APIs. When a device doesn't respond within the timeout period, the tool returns an error. Production logs show that the agent simply tells users "the device is not responding" without offering helpful next steps. Which error response structure would best enable the agent to provide useful follow-up?

A. Set is_error: true with a message explaining the likely cause and suggesting troubleshooting steps the agent can offer the user.
B. Set is_error: true with a structured technical error containing the device ID, timeout duration, and raw API response code for debugging purposes.
C. Set is_error: false with an optimistic message indicating the command was dispatched successfully but device acknowledgment is still pending.
D. Set is_error: true with a brief "Device offline" message and provide a separate tool the agent can call to retrieve context-specific troubleshooting suggestions.

문제 #4

A developer includes multiple unrelated tasks inside one extremely long prompt. What is the MOST likely outcome?

A. Increased prompt clarity.
B. Improved reasoning.
C. Reduced instruction clarity.
D. Faster inference.

문제 #5

An organization wants predictable outputs for automated invoice classification. Which API parameter should generally be LOWER?

A. Prompt length
B. Temperature
C. Max tokens
D. Context window

질문과 대답: