AIP-C01 practice question 7 of 15
A financial services company is developing a customer service AI assistant by using Amazon Bedrock. The AI assistant must not discuss investment…
Full set: 127 questionsThis solution represents a well-configured and balanced guardrail policy. Setting content filters to "medium" effectively blocks harmful content while minimizing false positives. Defining "denied topics" with specific phrases is the correct method to prevent discussions on investment advice. The configuration uses multiple handling strategies by masking PII in responses while blocking sensitive financial information in user inputs, which meets a key requirement. Enabling evaluation for both inputs and outputs ensures comprehensive protection. This nuanced approach correctly uses the features of Amazon Bedrock Guardrails to enforce all specified policies effectively.
A. Setting all filters to "high" and blocking all PII is too aggressive, leading to high false positives and a poor user experience.
B. Amazon Bedrock does not support applying or chaining multiple guardrails to a single inference call; a single, comprehensive guardrail should be used.
D. This architecture is invalid. Chaining guardrails with Step Functions is not a supported pattern and would be highly inefficient and complex.
1. Amazon Bedrock User Guide
"Guardrails for Amazon Bedrock". This documentation details the configuration of all policies mentioned in option C.
2. Amazon Bedrock User Guide
"Configure policies in a guardrail". This section shows how to set up Content filters (with levels like MEDIUM)
Denied topics
and Sensitive information filters.
3. Amazon Bedrock User Guide
"Sensitive information filter". This page explicitly describes the different actions available
such as BLOCK and MASK ("Anonymize PII entities by replacing them with a placeholder")
confirming that multiple handling strategies are a native feature.
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