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CCA-F 試験練習問題

Claude Certified Architect – Foundations

CCA-F の PDF 練習問題。資料の言語は 英語です。購入はこの試験のみで、自動更新はありません。

試験概要

CCA-F は「Claude Certified Architect – Foundations」の認定試験です。試験形式、時間、対応言語は以下をご確認ください。最新の出題範囲や受験条件は公式サイトをご参照ください。

Claude Partner Network 会員向けの試験として案内されています。受験資格、対応言語、日程は Partner Academy でご確認ください。

試験コード
CCA-F
公式の試験・資格名
Claude Certified Architect – Foundations
試験形式
Proctored, identity-verified certification assessment delivered through Pearson
受験可能な言語
公開されている公式資料から全対応言語を確認できませんでした。公式の予約ページをご確認ください。

公式試験の対応言語と練習問題ファイルの言語は異なります。試験の版と言語は公式の予約ページでご確認ください。

公式情報: Provider reference 1 · Provider reference 2
情報確認日:2026-10-20

対応言語

  • 英語
  • 簡体字中国語
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全 134 問

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問題の言語:英語。問題文・選択肢・正解・解説は元の題庫の言語で表示します。

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問題 1

Question#1Topic1

The synthesis agent receives summarized findings from the web search and document analysis agents, then passes a consolidated summary to the report generator. During testing, you discover the generated reports make factual claims without proper citations – the report generator cannot attribute statements to their original sources because that metadata was lost during the summarization steps. What’s the most effective approach to ensure proper source attribution in the final reports?

  1. A. Have the report generator query the web search agent to re-locate sources for claims in the final report.
  2. B. Have each agent output structured data separating content summaries from source metadata (URLs, document names, page numbers).
  3. C. Skip summarization and pass full raw outputs from web search and document analysis directly to the report generator.
  4. D. Instruct the synthesis agent to embed source references inline within its summary text using a consistent citation format.
正解と解説を表示

正解

B

解説

Source metadata must travel with claims through the pipeline. Having each agent output structured data that separates content summaries from source metadata (URLs, document names, page numbers) preserves provenance so the report generator can attribute statements without reverse-engineering citations.

問題 2

Question#2Topic1

After the web search agent finds 25 sources (120K tokens of raw content), the document analysis agent extracts key insights (15K tokens), and the synthesis agent produces a coherent narrative draft (3K tokens), the coordinator must pass context to the report generation agent for the final output with proper source citations. What context-passing strategy provides the best balance of completeness and efficiency?

  1. A. Pass the full accumulated context from all prior agents.
  2. B. Pass the synthesis draft along with a structured source index that maps key claims to their source URLs and relevant excerpts.
  3. C. Pass only the synthesis draft and have a separate post-processing pipeline match claims to sources and insert citations after the report is generated.
  4. D. Pass a condensed summary of all prior stages that preserves the main findings and attributes them to sources by name only.
正解と解説を表示

正解

B

解説

Passing the synthesis draft plus a structured source index that maps key claims to URLs and excerpts gives the report generator enough narrative context while keeping token use efficient and preserving citation data needed for the final output.

問題 3

Question#3Topic1

Your multi-agent research pipeline crashed after processing12 of 28 documents. The web search agent had identified relevant sources, the document analyzer had partially completed extraction, and the synthesizer had begun pattern identification. You need to resume processing without repeating work or losing fidelity of prior findings. What state management approach best balances information fidelity with context efficiency when restoring agent state?

  1. A. Have each agent persist a structured export to a known location. On resume, the coordinator loads the manifest and injects relevant state into agent prompts.
  2. B. Index all agent outputs in a shared vector store. When resuming, each agent queries the store using semantic search to retrieve relevant prior findings.
  3. C. Have each agent maintain its own persistent state file and reload it independently at the start of each session.
  4. D. Persist the coordinator’s conversation log containing all task delegations and responses, providing this to agents when resuming.
正解と解説を表示

正解

A

解説

Structured per-agent exports with a coordinator-managed manifest balances fidelity and efficiency: the coordinator reloads only relevant state into prompts on resume instead of replaying full conversation logs or relying on fuzzy vector retrieval.

問題 4

Question#4Topic1

You’ve configured the system so that all four subagents have access to the complete set of 18 tools. During testing, agents frequently call tools outside their specialization – the synthesis agent attempts web searches, and the report generator tries to analyze documents. What is the primary cause of this poor tool selection behavior?

  1. A. Choosing from 18 tools instead of 4-5 relevant ones increases decision complexity beyond reliable selection thresholds.
  2. B. The tool definitions consume too much context window space, leaving insufficient room for task content.
  3. C. The agents’ role descriptions in their system prompts conflict with having access to tools outside that role.
  4. D. The coordinator cannot track which capabilities each subagent has, leading to misrouted tasks.
正解と解説を表示

正解

A

解説

Tool selection reliability drops as the choice set grows. Giving every subagent all 18 tools increases decision complexity beyond reliable selection thresholds, causing agents to call tools outside their specialization.

問題 5

Question#5Topic1

The coordinator provides detailed step-by-step instructions to the web search subagent, specifying exact search queries, source priorities, and date filters. Production monitoring reveals three issues: (1) the subagent reports “insufficient results” rather than trying alternative approaches when pre-specified searches fail, (2) research quality drops for emerging topics that don’t match expected patterns, and (3) the subagent rarely surfaces valuable tangential sources. What’s the most effective way to improve subagent adaptability?

  1. A. Implement a topic classification step where the coordinator categorizes requests as “well-defined” or “exploratory” and uses different instruction styles for each category.
  2. B. Add explicit fallback directives to the detailed instructions: “If specified searches yield fewer than N results, attempt alternative query formulations before reporting failure.”
  3. C. Remove procedural details entirely, delegating with simple goals like “research X thoroughly” and relying on the subagent’s general capabilities.
  4. D. Specify research goals and quality criteria (coverage breadth, source diversity, recency) rather than procedural steps, letting the subagent determine its search strategy.
正解と解説を表示

正解

D

解説

Over-specifying procedural steps constrains adaptability. Delegating with research goals and quality criteria (coverage breadth, source diversity, recency) lets the subagent choose search strategies while still meeting outcome requirements.

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