最新のCCAR-F問題集で試験を準備する

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Anthropic CCAR-F 試験シラバストピック:

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

1. 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 extraction system implements automatic retries when validation fails. On each retry, the specific validation error is appended to the prompt. This retry-with-error-feedback approach resolves most failures within 2? attempts.
For which failure pattern would additional retries be LEAST effective?

A) The model extracts citation counts as locale-formatted strings ("1,234") when the schema requires integers.
B) The model extracts "et al." for co-authors when the full list exists only in an external document not in the input.
C) The model extracts keywords as a nested object organized by category when the schema requires a flat array of strings.
D) The model extracts dates as ISO 8601 datetime strings ("2023-03-15T00:00:00Z") when the schema requires only the date portion (YYYY-MM-DD).

2. You are integrating Claude Code into your Continuous Integration/Continuous Deployment (CI/CD) pipeline. The system runs automated code reviews, generates test cases, and provides feedback on pull requests. You need to design prompts that provide actionable feedback and minimize false positives.
Your test generation produces unit tests for new code, but reviews show that 55% are low-value:
trivial assertions that only verify functions do not throw exceptions, tests duplicating existing coverage, or tests ignoring your team's fixture conventions.
How do you reduce the rate of low-value tests being generated in the first place?

A) Add post-generation coverage analysis that automatically filters out any generated test that does not increase line coverage beyond existing tests.
B) Implement two-phase generation in which a second Claude call scores each test against quality criteria, filtering out low-scoring tests before presenting results to developers.
C) Document testing standards in CLAUDE.md, including valuable-test criteria, available fixtures and their intended use cases, and examples distinguishing meaningful behavioral tests from trivial assertions.
D) Restrict test generation to directories where historical quality metrics show higher acceptance rates, disabling it for areas where generated tests consistently require substantial editing.

3. A healthcare company processes long clinical reports. Some exceed Claude's practical context requirements. What is the BEST architectural approach?

A) Chunk documents before processing.
B) Increase temperature.
C) Ignore the excess text.
D) Randomly remove paragraphs.

4. Your automated review generates many findings per pull request, but developer feedback shows that roughly half are dismissed as "not worth addressing." Analysis reveals that dismissed findings are often technically accurate but involve minor style preferences or patterns that are acceptable in your codebase. Before adding infrastructure complexity, what prompt-design change could most effectively reduce dismissals while maintaining the detection of genuine issues?

A) Implement a secondary classification model that filters Claude's findings according to predicted developer acceptance.
B) Add explicit criteria defining which issues to report, such as bugs and security defects, and which issues to skip, such as minor style preferences and accepted local patterns.
C) Ask Claude to rate every finding's confidence from 1 to 10 and include only findings rated 8 or higher.
D) Append instructions telling Claude to "only report findings you are highly confident are genuine problems."

5. The web search agent has gathered several relevant sources for a research topic. The document analysis agent now needs to examine these sources. How does information typically flow between these two specialized subagents?

A) The coordinator agent receives the web search agent's output and includes relevant findings in the prompt when invoking the document analysis agent.
B) Both agents access a shared memory store where the web search agent writes findings and the document analysis agent reads them.
C) The web search agent directly invokes the document analysis agent, passing the discovered sources as parameters.
D) The agents communicate through an event-driven message queue, with the document analysis agent subscribing to web search completion events.

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