Which statement about PII detection in watsonx.governance is correct?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Think of it this way: in real-world AI governance, pii detection is a data safety metric that monitors both input prompts and model outputs. is exactly what teams reach for when they need to handle this scenario. PII detection is a Data Safety metric in watsonx. On the exam, remember that this falls squarely under the 4.0 Configure Evaluation and Monitoring domain.
Full explanation below image
Full Explanation
PII detection is a Data Safety metric in watsonx.governance, grouped in the same category as HAP. Like HAP, PII detection monitors BOTH input prompts and model outputs, flagging personally identifiable information whether it appears in user requests or model-generated responses. The correct answer, "PII detection is a Data Safety metric that monitors both input prompts and model outputs.", directly addresses the scenario described because it aligns with the specific governance requirement in question. The incorrect options ("PII detection is a Generative AI Quality metric that monitors model output only.", "PII detection is a Model Health metric that monitors input prompts only.", "HAP and PII detection are Generative AI Quality metrics that monitor output only.") may seem plausible but do not satisfy the core requirement. Understanding the distinction between these concepts is critical for IBM watsonx.governance implementations and is frequently tested in the 4.0 Configure Evaluation and Monitoring section of the certification exam.