CCA-F無料問題集「Anthropic Claude Certified Architect Foundations (CCA-F)」

質問 1

The synthesis agent completes its initial pass but flags that three key research questions remain unanswered because the web search and document analysis agents didn't find relevant information on those specific subtopics. The coordinator currently proceeds directly to report generation, producing reports with incomplete coverage. What change would most effectively improve research completeness?

（A）Have the coordinator evaluate synthesis output for gaps, then re-delegate to web search and document analysis with targeted queries before invoking synthesis again.

（B）Give the synthesis agent direct access to web search tools so it can autonomously fill knowledge gaps without returning control to the coordinator.

（C）Have the report generation agent note which research questions couldn't be answered, so users understand the limitations of the final output.

（D）Increase the initial breadth of queries sent to web search and document analysis to reduce the probability of missing relevant information.

正解：A 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 2

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 monorepo contains shared coding standards in /docs/standards/ : security-rules.md (for services handling user data), testing-petterns.md (for all packages), and api-conventions.md (for API-facing services). Your 15 packages are organized by feature domain ( /packages/auth/,
/packages/billing/, /packages/notifications/ , etc.) without naming conventions indicating which handle user data or expose APIs. Package maintainers are expected to configure their own local development settings, as they understand their package's domain requirements. Currently, all package CLAUDE.md files duplicate all three standards, applying irrelevant guidance. What's the most effective approach?

（A）Use @imports in each package's CLAUDE.md to reference only the specific standard files relevant to that package, based on the maintainer's domain knowledge.

（B）Create .claude/rules/ files for each standard with YAML frontmatter paths listing every package directory where that standard should apply.

（C）Put all standards in the root CLAUDE.md with override instructions like "ignore security-rules.md when working in packages that don't handle user data."

（D）Create a shared-stendards.md that uses @imports to combine all three standards, then have each package's CLAUDE.md import that combined file.

正解：A 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 3

Your agent has called lookup_order multiple times while investigating a customer's return requests. Each response includes 40+ fields (items, shipping details, payment info, status history). Tool outputs now represent the majority of the conversation's context. The customer mentions two more orders they want to discuss. What's the most effective approach before making additional lookups?

（A）Have the model generate a natural language summary of each order's key details, replacing structured responses with prose descriptions

（B）Move all tool responses to a vector database with semantic indexing, retrieving relevant portions as the conversation continues

（C）Proceed with additional lookups without modifying the existing tool output context

（D）Extract only the return-relevant fields (items, purchase date, return window, status) from each existing order response, removing verbose details

正解：D 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 4

Your update_user_profile tool accepts a user_id (required) and an optional fields_to_update object. In testing, Claude frequently omits user_id or passes incorrectly structured data. What is most critical for helping Claude understand what parameter values to provide?

（A）Clear parameter descriptions explaining expected format, such as "user_id: UUID of the user to update (required)"

（B）Detailed error responses explaining why invalid parameter values were rejected

（C）Strict JSON Schema type constraints marking user_id as required and defining fields_to_update as an object type

（D）Verbose parameter names encoding format hints, such as user_id_string_uuid_format

正解：C 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 5

An enterprise wants Claude responses to remain professional across every interaction. Where should tone instructions primarily reside?

（A）Retrieved documents

（B）API key description

（C）System prompt

（D）User prompt only

正解：C 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 6

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.
An engineer used the agent yesterday to analyze a legacy authentication module, identifying two distinct refactoring approaches: extracting a microservice versus refactoring in-place. Today, they want to explore both approaches in depth - having the agent propose specific code changes for each - before deciding which to implement. What's the most effective way to structure this exploration?

（A）Start two fresh sessions, manually providing a summary of yesterday's analysis findings to establish context.

（B）Resume yesterday's session and explore both approaches sequentially within the same conversation thread.

（C）Resume yesterday's session to explore the first approach, then start a new session for the second, manually recreating the original context.

（D）Use fork_session to create two branches from yesterday's analysis, exploring one approach in each fork.

正解：D 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 7

Which statement BEST describes Retrieval-Augmented Generation?

（A）It permanently retrains Claude.

（B）It compresses model weights.

（C）It supplies relevant external knowledge during inference.

（D）It changes token pricing.

正解：C 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

CCA-F 無料問題集「Anthropic Claude Certified Architect Foundations (CCA-F)」

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