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CCDV-F 試験練習問題

Claude Certified Developer – Foundations

CCDV-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

CCDV-F は「Claude Certified Developer – 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
CCDV-F
公式の試験・資格名
Claude Certified Developer – 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： 公式サイト
情報確認日：2026-10-20

対応言語

  • 英語
  • 簡体字中国語
購入前にお試し

最初の 20 問を無料プレビュー

全 53 問

題庫の元の順序で表示します。回答欄を開くと、正解と収録されている解説を確認できます。

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。

免責事項：ExamPico の問題はすべてインターネット上の情報を整理したもので、学習参考用として提供しています。

問題 6

Question#6Topic1

You are designing a Claude application that will require structured JSON output for downstream processing. The output schema is well-defined, and downstream systems will reject malformed JSON. Your application design would ...

  1. A. avoid structured output and use free-form text everywhere instead, on the grounds that free-form text is more flexible and handles edge cases better than structured schemas.
  2. B. structure the prompt to request output in a schema that is described in plain English, with downstream systems parsing whatever shape Claude produces.
  3. C. define a clear schema and structure the prompt to request output in that schema, with downstream systems handling any validation needed.
  4. D. define a clear schema, structure the prompt to request output in that schema, and validate Claude’s output against the schema before passing it downstream.
正解と解説を表示

正解

D

解説

For structured JSON consumed by downstream systems, define a clear schema, request output in that schema via the prompt, and validate Claude's output against the schema before passing it downstream. Source: https://docs.anthropic.com/en/docs/build-with-claude/structured-outputs

問題 7

Question#7Topic1

Your Claude application produces good responses for typical inputs but struggles with edge cases. You have several labeled examples of edge-case inputs and the desired response for each. You want to use these examples to improve the model's handling of edge cases. What is the best way to use these examples?

  1. A. Embed the examples in a database for the model to find during inference.
  2. B. Train a custom model on the edge-case examples and deploy that custom model in place of the team’s current Claude integration.
  3. C. Add the labeled edge-case examples to the prompt as few-shot examples so the model can learn the pattern.
  4. D. Tell users to avoid submitting the edge-case inputs to the application by adding warnings in the application’s user interface.
正解と解説を表示

正解

C

解説

Labeled edge-case examples are best used as few-shot examples in the prompt so the model learns the desired handling pattern for those inputs. Source: https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/multishot-prompting

問題 8

Question#8Topic1

The team is debating whether to build a new capability as a custom tool or to use an existing built-in tool that nearly covers the use case but lacks one specific feature. How would you decide?

  1. A. Review the built-in tool’s documentation and assess whether its existing capabilities are sufficient to cover the use case without any modification or extension.
  2. B. Identify whether the team has previously built similar custom tools and use those precedents to determine which approach is more consistent with the existing codebase.
  3. C. Examine the custom tool option by scoping the implementation effort and determining whether the additional flexibility justifies the development and maintenance cost.
  4. D. Evaluate whether the missing feature can be addressed by extending the built-in tool or warrants a custom tool, then choose accordingly.
正解と解説を表示

正解

D

解説

Choose between a custom tool and a built-in tool by evaluating whether the missing feature can be addressed by extending the built-in tool or truly warrants a custom implementation. Source: https://docs.anthropic.com/en/docs/agents-and-tools/tool-use/implement-tool-use

問題 9

Question#9Topic1

Your Claude agent’s hooks are currently triggered for every action, which slows down the agent significantly even when actions pose no risk. The team wants to scope hooks more carefully. How would you scope the hooks?

  1. A. Replace hooks with system prompt instructions on the grounds that prompt instructions can produce the same enforcement effect that hooks produce on the agent’s actions.
  2. B. Scope hooks to only the high-risk actions, such as destructive operations or sensitive data access, and remove hooks from low-risk actions to balance safety with performance.
  3. C. Disable all hooks while the team re-scopes them, treating the period of no hook enforcement as a temporary state during the re-scoping work.
  4. D. Disable the agent during peak hours so the hook overhead does not slow the application down during the busiest periods of the day across the application’s operation.
正解と解説を表示

正解

B

解説

Scope agent hooks to high-risk actions such as destructive operations or sensitive data access, and remove hooks from low-risk actions to balance safety with performance. Source: https://docs.anthropic.com/en/docs/claude-code/hooks

問題 10

Question#10Topic1

You are running Claude Code as part of an automated continuous integration pipeline. The pipeline needs Claude Code to execute a set of well-defined tasks without prompting for confirmation, and the output needs to be captured for downstream processing. How would you configure the pipeline?

  1. A. Disable Claude Code’s confirmation prompts globally across all environments so the pipeline runs without interruption from any prompt.
  2. B. Run Claude Code in headless mode with the required permissions configured in settings.json and capture its output for downstream processing.
  3. C. Replace Claude Code with a different tool that does not require any configuration to operate without confirmation prompts in the pipeline.
  4. D. Run Claude Code in interactive mode and have a developer manually approve every confirmation prompt while the pipeline executes its tasks.
正解と解説を表示

正解

B

解説

For automated CI pipelines, run Claude Code in headless mode with required permissions configured in settings.json and capture output for downstream processing. Source: https://docs.anthropic.com/en/docs/claude-code/headless

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