最新のCCAR-P問題集で試験を準備する

Anthropic CCAR-P 試験概要:

Anthropic CCAR-P 試験シラバストピック:

Anthropic Claude Certified Architect - Professional 認定 CCAR-P 試験問題：

1. You are evaluating prompting claims in a peer's design document.
For each claim, select yes if the claim reflects sound practice. Otherwise, select no.

2. You are a solution architect designing a Claude-based assistant with access to 60 internal tools across multiple business domains. Loading every tool definition on every request increases token usage and time to first response.
Which design pattern best addresses this issue without sacrificing capability breadth?

A) Use a separate model call to summarize all 60 tool definitions before each user turn.
B) Hard-code a fixed set of five tools per request to reduce token usage, regardless of whether those tools are relevant to the current task.
C) Increase the maximum context length and load all 60 tool definitions on every request, accepting the higher token cost and latency as necessary for full capability.
D) Apply progressive tool discovery so a curated initial subset is exposed and additional tools are loaded on demand based on the task.

3. You are operating an interactive assistant whose dominant performance constraint is per-turn latency. Quality on routine turns is already acceptable.
Which configuration adjustment most directly improves latency without disproportionately damaging quality?

A) Disable prompt caching entirely to ensure fresh context processing on every request, preventing stale prefix content from affecting latency-sensitive interactions.
B) Switch every turn to the heaviest available model to maximize output quality, accepting that the increased model latency will worsen the per-turn SLO rather than improve it.
C) Increase retrieval depth to the corpus maximum to improve recall regardless of latency.
D) Reduce retrieval depth to the top-k passages that historically cover the answer, and cache stable system- prompt content.

4. You are supporting an EU-based deployment with GDPR obligations.
Which combination of measures best supports the deployment's GDPR posture?

A) enterprise-tier deployment with a signed Data Processing Addendum, defined data-retention configuration, redaction of personal data not needed for the task, and documented data-subject-rights handling
B) using a personal Claude account tier for processing EU personal data at scale, with no signed Data Processing Addendum and no documented data-subject-rights handling procedure
C) pasting full EU personal data into every prompt to "give Claude complete context" without considering purpose limitation, data minimization, or the organization's Data Processing Addendum obligations
D) disabling all data-retention configuration, redaction controls, and data-subject-rights handling to simplify day-to-day operations, accepting the resulting GDPR compliance exposure

5. During an architectural review, the security team identifies a risk that adversarial content injected into retrieved documents could manipulate the model's behavior.
Which mitigation most directly addresses this threat?

A) Treat all retrieved content as untrusted input and apply input classifiers with output validation.
B) Restrict outbound tool calls to an approved destination allow-list.
C) Require citations for each claim and constrain responses to source-supported content.
D) Score outputs against a stable adversarial evaluation set on each model-version change.

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