最高のCCA-F練習問題集 &合格スムーズCCA-F日本語試験情報 |高品質なCCA-F試験問題集

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Anthropic CCA-F Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Topic 1: Claude Code Configuration & Workflows | 20% | - CI/CD and workflow integration
- 1. Automated pipeline integration
- 2. Command vs plan mode usage
- Claude Code configuration
- 1. CLAUDE.md hierarchy and scoping
- 2. Project-level vs user-level configuration
|
| Topic 2: Agentic Architecture & Orchestration | 27% | - Agentic loops & lifecycle design
- 1. Tool use loop execution (request → tool_use → result → next step)
- 2. Stop reason handling and control flow
- Multi-agent orchestration
- 1. Coordinator / sub-agent patterns
- 2. Parallel task decomposition
|
| Topic 3: Tool Design & MCP Integration | 18% | - Model Context Protocol (MCP)
- 1. MCP server integration patterns
- 2. Tool selection and routing strategies
- Tool interface design
- 1. Structured tool input/output schemas
- 2. Clear tool descriptions and boundaries
|
| Topic 4: Prompt Engineering & Structured Output | 20% | - Tool-augmented prompting
- 1. Validation and retry loops
- 2. Tool-use driven reasoning patterns
- Instruction design
- 1. Few-shot prompting strategies
- 2. Deterministic output formatting (e.g., JSON)
|
| Topic 5: Context Management & Reliability | 15% | - System reliability
- 1. Escalation strategies (fail vs retry vs human)
- 2. Error propagation handling
- Context window optimization
- 1. Managing long conversation degradation
- 2. "Lost in the middle" mitigation strategies
|
>> CCA-F練習問題集 <<
CCA-F試験の準備方法|ハイパスレートのCCA-F練習問題集試験|便利なClaude Certified Architect Foundations (CCA-F)日本語試験情報
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Anthropic Claude Certified Architect Foundations (CCA-F) 認定 CCA-F 試験問題 (Q101-Q106):
質問 # 101
When authoring a complex skill, relying on a massive 2000-line SKILL. md file wastes context window tokens. Which of the following describe the recommended "progressive disclosure" architectural pattern? Choose 2 correct answers.
- A. Use the fork_session command explicitly on line 1 of the markdown to split the file structure.
- B. Store executable validation code in a scripts/ directory and instruct Claude to run them rather than read their contents.
- C. Keep the SKILL .md file under 500 lines and link to supporting reference files that Claude reads only when needed.
- D. Configure an automatic /compact command to execute every 10 turns within the skill definition.
正解:B、C
解説:
Progressive disclosure in skill architecture involves keeping the main SKILL.md file small (under 500 lines) and linking to supporting files (in directories like references/ and scripts!) that Claude reads or executes only when relevant. Instructing Claude to run scripts rather than read them prevents the script's raw source code from consuming context tokens.
質問 # 102
You are analyzing a massive legacy codebase and want to explore an alternative, potentially destructive refactoring approach without polluting your main session's context window. Which session management feature should you use?
- A. / clear
- B. - resume
- C. / compact
- D. fork session
正解:D
解説:
The fork_session feature creates a branched session for exploration that inherits the existing context but keeps subsequent interactions isolated. This allows you to explore divergent approaches safely without exploration noise polluting your main conversation context.
質問 # 103
When allocating tools to agents in a multi-agent system, what is the architectural impact of giving a single agent access to an excessive number of tools (e.g., 18 tools)?
- A. The model's temperature automatically drops to 0.0 to compensate for the large tool space.
- B. The agent automatically splits itself into multiple subagents to handle the load.
- C. Tool selection reliability degrades significantly due to increased decision complexity and ambiguity among similar tools.
- D. The Claude API enforces a hard limit and rejects requests with more than 10 tools.
正解:C
解説:
Giving an agent access to too many tools (e.g., 18 instead of the optimal 4-5) degrades tool selection reliability. As the option space grows, similar tools create ambiguity, and the agent struggles to pick the correct one. The solution is to scope tool access by distributing tools across specialized subagents.
質問 # 104
What is the primary architectural advantage of using glob-pattern rules in a . claude/rules/ file rather than placing a CLAUDE. md file in a subdirectory?
- A. Glob patterns disable Claude's semantic inference, forcing it to use exact keyword matching for all prompts.
- B. Glob patterns automatically apply the rules to the global system-level /etc/c1aude/CLAUDE .md configuration.
- C. Glob patterns allow conventions to apply to files by type regardless of their directory location, which is essential for conventions that span multiple directories.
- D. Glob patterns bypass the Model Context Protocol (MCP) server requirements for fetching dynamic rules.
正解:C
解説:
The advantage of glob-pattern rules over directory-level CLAUDE.md files is that they can apply conventions to files spread across the codebase by type regardless of directory location (e.g., test files located next to components). Subdirectory CLAUDE.md files only apply to that specific directory and its children.
質問 # 105
What is the only reliable and architecturally correct signal in the Claude API to determine whether an agentic loop should continue executing tools or terminate?
- A. Parsing the assistant's natural language text output for completion keywords like 'task complete'.
- B. Inspecting the stop_reason field of the response for tool_use versus end_turn.
- C. Setting a hard maximum iteration cap of 5 loops to prevent infinite execution.
- D. Monitoring the total token count and exiting the loop when it reaches the context window limit.
正解:B
解説:
The stop_reason field is the only reliable signal for controlling the agentic loop. 'tool_use' indicates the loop must continue to execute tools, while 'end_turn' indicates Claude has finished reasoning and the loop should exit. Parsing natural language or setting arbitrary iteration caps are heavily tested anti-patterns.
質問 # 106
......
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