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お客様に最大の利便性を提供するために、我々は最高のアフターサービスを提供します。CCAR-F受験問題集をご購入になってからの一年で、我々CertJukenは無料の更新サービスを提供して、お客様の持っているCCAR-F問題集は最新のを保証します。この一年間、もしCCAR-F問題集（Claude Certified Architect – Foundations）が更新されたら、弊社はあなたにメールをお送りいたします。

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弊社のCCAR-F問題集は我々のIT専門家たちによって、過去の数年の試験のデーターへの整理と分析を通して、長時間の努力で開発されました。AnthropicCCAR-F認定試験に参加するあなたは試験に合格できるのは我々CertJukenの目標ですから、我々の努力で開発されたCCAR-F問題集 は的中率が高くて、内容が全面的です。

弊社のCCAR-F受験問題集を通じて、受験者としてのあなたは試験に関する専門知識をよく習得し、自分の能力を高めることができます。数年以来の努力を通して、今まで、弊社は自分のCCAR-F試験問題集に自信を持って、弊社の商品で試験に一発合格できるということを信じています。我々のCCAR-F受験問題集を利用すると、CCAR-F認定の準備をする時に時間をたくさん節約することができます。

多くの受験者は我々のClaude Certified Architect – Foundations問題集で試験に合格しましたから、弊社のAnthropicCCAR-F受験問題集を入手して利用したら、あなたは気楽で試験に合格できます。あなたは信じられないなら、我々のサイトで無料なデモをダウンロードしてやってみることができます。我々のCCAR-F問題集のデモを見て、あなたの需要に満たして、我々の問題集を入手すると信じています。

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弊社はお客様の皆様の要求に満たすために、CCAR-F問題集の三種類のバーションを提供します。お客様は自分の愛用するバーションを入手することあできます。ここで強調したいのはCCAR-Fのオンライン版です。オンライン版はWindows/Mac/Android/iOS対応で、安全的なのですが、CCAR-F受験問題集のオンライン版を利用しているとき、開けてから、ネットがなくても、運行できます。かなり便利です。

Anthropic Claude Certified Architect – Foundations 認定 CCAR-F 試験問題:

1. You are using Claude Code to accelerate software development. Your team uses it for code generation, refactoring, debugging, and documentation. You need to integrate it into your development workflow with custom slash commands, CLAUDE.md configurations, and understand when to use plan mode vs direct execution.
A security audit requires updating your authentication library from v2 to v3. The migration guide documents breaking changes: authenticate() now returns a Promise instead of accepting a callback, the User type has restructured fields, and three deprecated methods were removed. Grep shows the library is imported in 45 files across several modules.
What's the most effective approach?

A) Update the dependency version, run the test suite, and use Claude Code to fix each failure as it appears.
B) Create a custom slash command encapsulating the migration transformations, then execute it against each file without prior codebase exploration.
C) Paste the migration guide's breaking changes into your prompt and use direct execution to update all usages across the 45 files.
D) Enter plan mode to explore library usage across modules, map affected code paths, then create a migration strategy before implementing.

2. You are building a structured data extraction system using Claude. The system extracts information from unstructured documents, validates the output using JavaScript Object Notation (JSON) schemas, and maintains high accuracy. It must handle edge cases gracefully and integrate with downstream systems.
Your system must extract event details from calendar invitations and output JSON that strictly conforms to a schema with fields for title, date, time, location, and attendees. Downstream systems reject any malformed or non-conformant JSON.
What approach provides the most reliable schema compliance?

A) Define a tool with your target schema as input parameters and have Claude call it with the extracted data.
B) Pre-fill Claude's response with an opening brace to force JSON output, then complete and parse the response.
C) Include detailed JSON formatting instructions and the target schema in your prompt, then parse Claude' s text response as JSON.
D) Append instructions like "Output only valid JSON matching the schema exactly" and implement retry logic to re-prompt when JSON parsing fails.

3. You are building a customer support resolution agent using the Claude Agent SDK. The agent handles high- ambiguity requests like returns, billing disputes, and account issues. It has access to your backend systems through custom Model Context Protocol (MCP) tools ( get_customer , lookup_order , process_refund , escalate_to_human ). Your target is 80%+ first-contact resolution while knowing when to escalate.
During a billing dispute resolution, your agent successfully retrieves customer info via get_customer and order details via lookup_order , but when attempting to call process_refund , the tool returns a timeout error.
The agent has enough information to explain the charges and verify refund eligibility, but cannot actually process the refund due to the backend failure.
What approach best balances first-contact resolution with appropriate error handling?

A) Confirm the refund will be processed and close the conversation, since the system has all necessary information to complete it automatically.
B) Escalate immediately to a human agent since the refund action cannot be completed.
C) Explain the billing, confirm refund eligibility, acknowledge the system issue preventing immediate processing, and offer escalation or retry later.
D) Implement automatic retries with exponential backoff for process_refund , keeping the conversation open until the refund is successfully processed.

4. You are building a customer support resolution agent using the Claude Agent SDK. The agent handles high- ambiguity requests like returns, billing disputes, and account issues. It has access to your backend systems through custom Model Context Protocol (MCP) tools ( get_customer , lookup_order , process_refund , escalate_to_human ). Your target is 80%+ first-contact resolution while knowing when to escalate.
Your process_refund tool returns two types of errors: technical errors ("503 Service Unavailable",
"Connection timeout") that are transient (~5% of calls), and business errors ("Order exceeds 30-day return window", "Item already refunded") that are permanent (~12% of calls). Monitoring shows the agent wastes 3-
4 turns retrying business errors that can never succeed. Currently, both error types return only a plain text message to Claude.
What's the most effective way to reduce wasted retries while improving customer-facing response quality?

A) Implement automatic retry logic at the tool layer for technical errors only, passing business errors to Claude without retries.
B) Add a check_refund_eligibility tool that must be called before process_refund to prevent business rule violations.
C) Return structured error responses with "retriable": false for business errors and a customer-friendly explanation for Claude to use.
D) Add few-shot examples showing how to distinguish retriable from non-retriable errors by parsing error message text.

5. You are using Claude Code to accelerate software development. Your team uses it for code generation, refactoring, debugging, and documentation. You need to integrate it into your development workflow with custom slash commands, CLAUDE.md configurations, and understand when to use plan mode vs direct execution.
Your team has connected a custom MCP server that provides DevOps workflow templates. The server exposes several MCP prompts (such as deploy_checklist and incident_response ) in addition to tools.
How do these MCP prompts become accessible within Claude Code?

A) They are surfaced as @ -mentionable resources alongside files, fetched and attached to your message when referenced.
B) They appear as slash commands (e.g., /mcp__servername__deploy_checklist ) that you can invoke, with arguments passed after the command name.
C) They are automatically prepended to every conversation as additional system-level context, influencing Claude's behavior throughout the session.
D) They are added to Claude Code's tool registry alongside the server's tools, invoked automatically by the model when relevant to the task.

質問と回答：