An enterprise AI assistant must block responses containing customer PII before data is logged.
Which

Q: What is the correct answer for Claude CCA-F Claude CCA-F?

The correct answer is C. An output validation hook placed before logging ensures that AI-generated content is inspected for PII *after* generation but *before* persistence. This programmatic enforcement layer can detect, redact, or block sensitive information, providing a robust safeguard against data leakage. Relying solely on prompt instructions (A) is insufficient, as LLMs can still inadvertently generate PII. A prepro

Q: An enterprise AI assistant must block responses containing customer PII before data is logged. Which architecture BEST satisfies this requirement?

The correct answer is C. An output validation hook placed before logging ensures that AI-generated content is inspected for PII *after* generation but *before* persistence. This programmatic enforcement layer can detect, redact, or block sensitive information, providing a robust safeguard against data leakage. Relying solely on prompt instructions (A) is insufficient, as LLMs can still inadvertently generate PII. A prepro

Q: What are the options for this Claude CCA-F Claude CCA-F question?

A. Prompt Claude to avoid sensitive information · B. Add a preprocessing hook before user submission · C. Add an output validation hook before logging · D. Use higher token limits

Question

An enterprise AI assistant must block responses containing customer PII before data is logged.
Which architecture BEST satisfies this requirement?

FirstInTest · Accepted Answer

An output validation hook placed before logging ensures that AI-generated content is inspected for PII *after* generation but *before* persistence. This programmatic enforcement layer can detect, redact, or block sensitive information, providing a robust safeguard against data leakage. Relying solely on prompt instructions (A) is insufficient, as LLMs can still inadvertently generate PII. A preprocessing hook (B) validates inputs, not outputs, and thus won't catch PII generated by the model. Higher token limits (D) affect conversation length but not content moderation or PII blocking mechanisms.

Answer

Prompt Claude to avoid sensitive information

Answer

Add a preprocessing hook before user submission

Answer

Add an output validation hook before logging

Answer

Use higher token limits

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