Anthropic CCA-F模擬資料 & CCA-Fコンポーネント

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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
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
Tool Design & MCP Integration	18%	- Model Context Protocol (MCP) 1. MCP server integration patterns 2. Tool selection and routing strategies - Tool interface design 1. Clear tool descriptions and boundaries 2. Structured tool input/output schemas
Prompt Engineering & Structured Output	20%	- Instruction design 1. Deterministic output formatting (e.g., JSON) 2. Few-shot prompting strategies - Tool-augmented prompting 1. Tool-use driven reasoning patterns 2. Validation and retry loops
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. Parallel task decomposition 2. Coordinator / sub-agent patterns
Claude Code Configuration & Workflows	20%	- CI/CD and workflow integration 1. Automated pipeline integration 2. Command vs plan mode usage - Claude Code configuration 1. Project-level vs user-level configuration 2. CLAUDE.md hierarchy and scoping

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CCA-Fコンポーネント、CCA-F出題範囲

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Anthropic Claude Certified Architect Foundations (CCA-F) 認定 CCA-F 試験問題 (Q107-Q112):

質問 # 107
A quicktechie.com developer is designing a schema to extract contract terms. Source documents sometimes lack a 'termination_fee' clause. How should the schema be designed to prevent the model from fabricating a value?

A. Add a capitalized warning in the system prompt to avoid hallucination.
B. Design the field as optional or nullable, such as ["number", "null"].
C. Design the field as strictly required and let the model infer a standard default.
D. Set tool_choice. :"auto" so the model can skip the tool entirely.

正解：B

解説：
Designing schema fields as optional (nullable) when source documents may not contain the information prevents the model from fabricating values to satisfy required fields. If a field is strictly required but the data does not exist, the model may hallucinate a value.

質問 # 108
Which of the following strategies are explicitly recommended for designing multi-instance and multi-pass review architectures? Choose 2 correct answers.

A. Having the same session review its newly generated code to preserve maximum architectural context.
B. Splitting multi-file reviews into focused per-file passes for local issues plus a separate cross-file integration pass.
C. Forcing consensus across 3 monolithic runs to suppress false positives in large multi-file PRs.
D. Using an independent Claude instance to review generated code without the generator's reasoning context.

正解：B、D

解説：
Independent review instances without prior reasoning context effectively catch subtle issues without confirmation bias. Splitting reviews into focused per-file passes and integration passes addresses attention dilution. Same-session reviews and monolithic consensus runs are anti-patterns.

質問 # 109
Which of the following are recommended architectural practices for preserving information provenance and handling uncertainty in a multi-agent system at quicktechie.com? Choose 2 correct answers.

A. Requiring subagents to output structured claim-source mappings (including source URLs, document names, and excerpts) that downstream agents must preserve.
B. Structuring reports with explicit sections that distinguish well-established findings from contested ones, preserving the original methodological context.
C. Silently dropping contested findings to ensure the final synthesis report appears highly confident.
D. Omitting publication dates from the metadata to save valuable token space in the coordinator's context window.

正解：A、B

解説：
Recommended practices for information provenance include requiring structured claim-source mappings that pass through to the final output, and structuring reports to explicitly distinguish well-established findings from contested ones. Dropping contested findings or omitting temporal metadata are anti-patterns that destroy critical context.

質問 # 110
When implementing custom subagents to delegate tasks, how do these subagents access and inherit your configured project skills?

A. Skills are passed to subagents dynamically by declaring them as parameters in the Task tool call.
B. Subagents do not automatically see skills; skills must be explicitly listed in the skills : field of the custom subagent's markdown definition.
C. Built-in agents (like Explorer) automatically cascade project skills to newly spawned subagents.
D. Custom subagents automatically inherit all skills loaded by the parent coordinator agent.

正解：B

解説：
Subagents start with a clean context and do not automatically inherit skills from the main conversation. To use a skill, it must be explicitly defined in the custom subagent's configuration frontmatter using the 'skills' field.

質問 # 111
Your codebase has test files spread throughout multiple directories alongside the components they test (e.g., Button. test .tsx next to Button. tsx). How can you ensure Claude automatically applies specific testing conventions whenever it generates or edits a test file?

A. Define an MCP server resource to fetch testing standards dynamically.
B. Consolidate all testing conventions in the root CLAUDE .md file and rely on Claude's inference.
C. Place a separate CLAUDE .md file in every subdirectory containing test files.
D. Create a rule file in . claude/rules/ with YAML frontmatter specifying paths: . test.tsx"].

正解：D

解説：
Using . claude/rules/ files with glob patterns in the paths field allows conventions to be automatically and conditionally applied based on file paths. This ensures the testing rules load deterministically whenever matching test files are generated or edited.

質問 # 112
......

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