1041 お客様のコメント
質問 1：
A developer includes multiple unrelated tasks inside one extremely long prompt. What is the MOST likely outcome?
A. Increased prompt clarity.
B. Reduced instruction clarity.
C. Improved reasoning.
D. Faster inference.
正解：B
解説: (Pass4Test メンバーにのみ表示されます)
質問 2：
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 asks your agent to identify untested code paths in a legacy payment processing module spanning 45 files. After reading the first 8 source files, the agent's responses are becoming noticeably less accurate - it's forgetting previously discussed code patterns and hasn't yet located all test files or traced critical payment flows. What's the most effective approach to complete this investigation?
A. Switch to using Grep to search for specific function names instead of reading full files, reducing the content loaded into context for remaining exploration.
B. Document all current findings in a summary report, clear context completely, then use that report as the sole reference for continuing the investigation.
C. Clear context with /clear, then selectively re-read only the most critical files discovered so far, writing key findings to a scratchpad file that persists between context resets.
D. Spawn subagents to investigate specific questions (e.g., "find all test files for payment processing," "trace refund flow dependencies") while the main agent coordinates findings and preserves high-level understanding.
正解：D
解説: (Pass4Test メンバーにのみ表示されます)
質問 3：
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 submits two requests:
- Request A: "Rename the getUserData function to fetchUserProfile
everywhere it's used."
- Request B: "Improve error handling throughout the data processing
module - add try/catch blocks, meaningful error messages, and ensure
failures don't silently corrupt data."
For which request does specifying an explicit multi-phase workflow (such as analyze -> propose
-> implement with review) most improve outcome quality?
A. Neither request benefits significantly
B. Request B, the error handling task
C. Request A, the function rename task
D. Both requests benefit equally
正解：B
解説: (Pass4Test メンバーにのみ表示されます)
質問 4：
Your control_device tool manages smart home devices through external APIs. When a device doesn't respond within the timeout period, the tool returns an error. Production logs show that the agent simply tells users "the device is not responding" without offering helpful next steps. Which error response structure would best enable the agent to provide useful follow-up?
A. Set is_error: false with an optimistic message indicating the command was dispatched successfully but device acknowledgment is still pending.
B. Set is_error: true with a structured technical error containing the device ID, timeout duration, and raw API response code for debugging purposes.
C. Set is_error: true with a brief "Device offline" message and provide a separate tool the agent can call to retrieve context-specific troubleshooting suggestions.
D. Set is_error: true with a message explaining the likely cause and suggesting troubleshooting steps the agent can offer the user.
正解：D
解説: (Pass4Test メンバーにのみ表示されます)
質問 5：
After integrating a local MCP server providing code analysis tools (analyze_dependencies, find_dead_code, calculate _complexity), you verify the server is healthy and tools appear in the tools/list response. However, you observe that the agent consistently uses Grep to search for import statements instead of calling analyze_dependencies -even when users explicitly ask about "code dependencies." Examining tool definitions reveals:
MCP: analyze_ dependencies - "Analyzes dependency graph"
Built-in: Grep - "Search file contents for a pattern using regular
expressions. Returns matching lines with line numbers and surrounding
context."
What's the most effective approach to improve the agent's selection of MCP tools?
A. Remove Grep from available tools when the MCP server is connected to eliminate functional overlap.
B. Add routing instructions to the system prompt specifying that dependency-related questions should use MCP tools rather than Grep.
C. Split analyze_dependencies into granular tools ( list_imports, resolve_transitive_deps, detect_circular_deps) so each has a focused purpose less likely to overlap with Grep.
D. Expand MCP tool descriptions to detail capabilities and outputs - e.g., "Builds dependency graph showing direct imports, transitive dependencies, and cycles."
正解：D
解説: (Pass4Test メンバーにのみ表示されます)
質問 6：
An engineering team notices that Claude occasionally provides answers beyond the company's internal policy documents. They want responses to rely only on approved documentation whenever possible. Which solution is MOST appropriate?
A. Shorten every prompt
B. Use Retrieval-Augmented Generation (RAG)
C. Increase temperature to 1.0
D. Disable system prompts
正解：B
解説: (Pass4Test メンバーにのみ表示されます)
A developer includes multiple unrelated tasks inside one extremely long prompt. What is the MOST likely outcome?
A. Increased prompt clarity.
B. Reduced instruction clarity.
C. Improved reasoning.
D. Faster inference.
正解：B
解説: (Pass4Test メンバーにのみ表示されます)
質問 2：
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 asks your agent to identify untested code paths in a legacy payment processing module spanning 45 files. After reading the first 8 source files, the agent's responses are becoming noticeably less accurate - it's forgetting previously discussed code patterns and hasn't yet located all test files or traced critical payment flows. What's the most effective approach to complete this investigation?
A. Switch to using Grep to search for specific function names instead of reading full files, reducing the content loaded into context for remaining exploration.
B. Document all current findings in a summary report, clear context completely, then use that report as the sole reference for continuing the investigation.
C. Clear context with /clear, then selectively re-read only the most critical files discovered so far, writing key findings to a scratchpad file that persists between context resets.
D. Spawn subagents to investigate specific questions (e.g., "find all test files for payment processing," "trace refund flow dependencies") while the main agent coordinates findings and preserves high-level understanding.
正解：D
解説: (Pass4Test メンバーにのみ表示されます)
質問 3：
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 submits two requests:
- Request A: "Rename the getUserData function to fetchUserProfile
everywhere it's used."
- Request B: "Improve error handling throughout the data processing
module - add try/catch blocks, meaningful error messages, and ensure
failures don't silently corrupt data."
For which request does specifying an explicit multi-phase workflow (such as analyze -> propose
-> implement with review) most improve outcome quality?
A. Neither request benefits significantly
B. Request B, the error handling task
C. Request A, the function rename task
D. Both requests benefit equally
正解：B
解説: (Pass4Test メンバーにのみ表示されます)
質問 4：
Your control_device tool manages smart home devices through external APIs. When a device doesn't respond within the timeout period, the tool returns an error. Production logs show that the agent simply tells users "the device is not responding" without offering helpful next steps. Which error response structure would best enable the agent to provide useful follow-up?
A. Set is_error: false with an optimistic message indicating the command was dispatched successfully but device acknowledgment is still pending.
B. Set is_error: true with a structured technical error containing the device ID, timeout duration, and raw API response code for debugging purposes.
C. Set is_error: true with a brief "Device offline" message and provide a separate tool the agent can call to retrieve context-specific troubleshooting suggestions.
D. Set is_error: true with a message explaining the likely cause and suggesting troubleshooting steps the agent can offer the user.
正解：D
解説: (Pass4Test メンバーにのみ表示されます)
質問 5：
After integrating a local MCP server providing code analysis tools (analyze_dependencies, find_dead_code, calculate _complexity), you verify the server is healthy and tools appear in the tools/list response. However, you observe that the agent consistently uses Grep to search for import statements instead of calling analyze_dependencies -even when users explicitly ask about "code dependencies." Examining tool definitions reveals:
MCP: analyze_ dependencies - "Analyzes dependency graph"
Built-in: Grep - "Search file contents for a pattern using regular
expressions. Returns matching lines with line numbers and surrounding
context."
What's the most effective approach to improve the agent's selection of MCP tools?
A. Remove Grep from available tools when the MCP server is connected to eliminate functional overlap.
B. Add routing instructions to the system prompt specifying that dependency-related questions should use MCP tools rather than Grep.
C. Split analyze_dependencies into granular tools ( list_imports, resolve_transitive_deps, detect_circular_deps) so each has a focused purpose less likely to overlap with Grep.
D. Expand MCP tool descriptions to detail capabilities and outputs - e.g., "Builds dependency graph showing direct imports, transitive dependencies, and cycles."
正解：D
解説: (Pass4Test メンバーにのみ表示されます)
質問 6：
An engineering team notices that Claude occasionally provides answers beyond the company's internal policy documents. They want responses to rely only on approved documentation whenever possible. Which solution is MOST appropriate?
A. Shorten every prompt
B. Use Retrieval-Augmented Generation (RAG)
C. Increase temperature to 1.0
D. Disable system prompts
正解：B
解説: (Pass4Test メンバーにのみ表示されます)
Takahashi -
先週CCA-F合格しました。この問題集があれば本当に受かりますね。
模擬試験は問題と解き方を丸暗記し、試験本番までに安定して合格しました。
本番の構成は模擬試験とほぼ同じでした。ありがとうございました。