AWS Certified AI Practitioner AIF-C01 Practice Question
A team is building a customer support assistant with Amazon Bedrock. To comply with privacy regulations, the team must ensure that any personally identifiable information (PII) such as addresses or phone numbers supplied by users is automatically removed before the request reaches the foundation model. Which Guardrails for Amazon Bedrock capability meets this requirement?
Guardrails for Amazon Bedrock offer an optional PII redaction feature that detects personally identifiable information in prompts or model responses and replaces it with neutral placeholders (for example, an email becomes [EMAIL]). Denied-topic policies, content filters, and word filters can block or mask certain topics or terms, but they are not designed to systematically identify and redact PII entities across inputs and outputs.
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What is Amazon Bedrock?
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How does PII redaction in Amazon Bedrock work?
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How is a Denied-topic policy different from PII redaction?
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What is PII redaction in the context of Amazon Bedrock?
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How does PII redaction differ from other Guardrails capabilities like denied-topic policies?
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Can PII redaction handle all types of sensitive data automatically in Amazon Bedrock?
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AWS Certified AI Practitioner AIF-C01
Guidelines for Responsible AI
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