최신업데이트된CCA-F최고품질인증시험기출자료인증공부자료

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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Tool Design & MCP Integration	18%	- Model Context Protocol (MCP) 1. MCP client/server integration patterns 2. Tool schema design
Context Management & Reliability	15%	- Long-context optimization 1. Context window management 2. Reliability and retry strategies
Claude Code Workflows & Configuration	20%	- Claude Code operational patterns 1. CI/CD and workflow integration 2. Plan mode vs execution mode
Agentic Architecture & Orchestration	27%	- Agentic loop design and execution lifecycle 1. Tool use decision flow (tool_use vs end_turn) 2. Multi-agent coordination and delegation patterns - System orchestration patterns 1. Task decomposition strategies 2. Hub-and-spoke agent systems
Prompt Engineering & Structured Output	20%	- Reliable structured generation 1. Prompt patterns for agents 2. Schema-guided outputs

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높은 적중율을 자랑하는 CCA-F최고품질 인증시험 기출자료 덤프로 Claude Certified Architect Foundations (CCA-F) 시험도전

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최신 Claude Certified Architect CCA-F 무료샘플문제 (Q21-Q26):

질문 # 21
A data extraction pipeline uses few-shot examples to teach Claude how to extract invoice line items. To ensure the model handles unexpected formats reliably, what must be included in the few-shot examples?

A. Extensive XML tags defining the model's underlying neural architecture.
B. A negative example showing the model generating conversational text instead of JSON.
C. Only examples of perfectly formatted, standard invoices to establish a strong baseline.
D. At least one example that demonstrates how to handle an ambiguous scenario or edge case.

정답：D

설명：
Few-shot examples should demonstrate ambiguous-case handling and edge case coverage. At least one example should demonstrate an ambiguous or edge case to establish the expected reasoning pattern.

질문 # 22
Which statements correctly describe the relationship between JSON schemas and validation loops in structured extraction? Choose 2 correct answers.

A. Validation loops are necessary to catch semantic errors, such as line items failing to sum to the extracted total.
B. Validation retries are most effective when the required information is completely missing from the document.
C. tool_use eliminates schema syntax errors, greatly reducing the need for syntax-focused retries.
D. Semantic errors (e.g., values placed in wrong fields) are prevented entirely by strict JSON schemas.

정답：A,C

설명：
Tool use guarantees structural compliance (eliminating JSON syntax errors), but it does not guarantee semantic correctness. Therefore, validation loops are still absolutely necessary to catch semantic errors like bad mathematical summations or values placed in the wrong fields.

질문 # 23
Which of the following should be included in structured error context propagated to the coordinator to enable intelligent recovery decisions? (Choose 2 correct answers)

A. The model's internal token counts and neural weights.
B. The full uncompressed conversation history of the subagent.
C. Any partial results obtained before the failure.
D. The failure type and what was attempted.

정답：C,D

설명：
Structured error context should include the failure type, what was attempted, partial results, and potential alternative approaches. Passing full uncompressed history wastes tokens (context pollution), and model weights are irrelevant to the coordinator's logic flow.

질문 # 24
Your structured data extraction pipeline implements a validation-retry loop. When an extracted value fails a business logic check (e.g., line items do not sum to the total), how should the retry prompt be structured?

A. Return a generic message such as There were errors in your extraction. Please try again.
B. Switch to a more capable model and restart the session without the failed extraction history.
C. Automatically increase the model temperature and resubmit the original prompt.
D. Send a follow-up request including the original document, the failed extraction, and the specific validation error details.

정답：D

설명：
A successful validation-retry loop requires appending specific error details (not generic messages) to the prompt and supplying both the source document and the failed extraction. Generic retry messages give the model no signal for what to fix.

질문 # 25
To ensure an agent strictly outputs a specific JSON structure without generating conversational text, and guarantees that a specific tool is invoked, which tool_choice configuration is required?

A. Option D
B. Option A
C. Option B
D. Option C

정답：D

설명：
Forcing a specific tool with tool_choice: {"type": "tool", "name": "..."} ensures a particular tool runs, which guarantees schema compliance for extraction tasks. 'auto' allows the model to decide whether to use a tool, and 'any' forces a tool but allows the model to choose which one.

질문 # 26
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