最新のCCAR-P問題集で試験を準備する

An architect is reviewing a Claude-based candidate-screening tool prior to deployment. A stakeholder asserts that because the model was not trained on company data, no bias evaluation is necessary.
Which two responses most accurately challenge this assertion? (Select two.)

• A. Bias evaluation is unnecessary when the model provider has published a responsible-use policy.
• B. The model may carry demographic biases from pretraining that manifest in screening outcomes regardless of fine-tuning.
• C. Transparency obligations are satisfied by disclosing that an AI system is in use, without further evaluation.
• D. The system should be evaluated on outcome-disparity metrics across protected groups before deployment.
• E. Fairness testing is required only when the training dataset is known to contain protected-class labels.

You are supporting a team whose Claude Code sessions consistently load 60 or more MCP tools from many servers, exhausting context budget before the session begins.
Which adjustment most directly addresses this issue without removing capability?

• A. Disable every MCP server in the configuration to free up context budget, accepting that the team loses all tool access and cannot perform any MCP-dependent task in the session.
• B. Enable Tool Search so tool definitions are deferred and discovered on demand rather than loaded into context upfront.
• C. Increase the prompt's verbosity with additional instructions and context, which consumes more of the context budget rather than reducing the tool-definition overhead causing the issue.
• D. Add additional MCP servers to give the team more capability, which increases rather than reduces the number of tool definitions loaded into the session's context budget.

A Claude architect observes that after a recent model-version upgrade, grounded responses began including claims not supported by the retrieved source documents.
Which mitigation is most directly targeted at this failure mode?

• A. Replace the shared API key with per-user OAuth tokens to restrict data access.
• B. Score each new model version against a stable adversarial evaluation set.
• C. Treat retrieved data as untrusted and apply input classifiers at ingestion time.
• D. Constrain responses to source-supported content, require citations, and add a verification step.

A Claude architect at a health services organization is defining evaluation metrics for a clinical-summary pipeline. The pipeline must remain within a per-query cost ceiling and must never surface patient data to unauthorized roles.
Which two metrics directly address these requirements? (Select two.)

• A. BLEU score computed against a human-annotated reference summary set
• B. Role-based access-control enforcement rate measured on a red-team dataset
• C. Per-query token cost measured against the defined cost ceiling
• D. Response latency at the 95th percentile across a one-week sample window
• E. Throughput measured as successful requests processed per minute

You are evaluating a Claude-based deployment for adherence to a specific regulation.
Which two steps must be completed BEFORE mapping deployment data flows to specific regulatory clauses?
(Select two.)
Each correct answer presents part of the solution.

• A. Inventory the vendor-provided compliance tooling and confirm which compliance affordances are in place.
• B. Schedule the remediation work with the engineering team based on the prioritized gap findings.
• C. Compare the in-place controls against the regulatory requirements to identify any compliance gaps.
• D. Document the identified gaps along with recommended remediations and residual risk for sign-off.
• E. Identify the applicability of the regulation based on data types, jurisdiction, and audience.