A financial services company must ensure that its generative AI-powered chatbot provides factual responses for regulatory compliance. Which solution prevents the underlying foundation model (FM)…

The correct answer is B. Configure Amazon Bedrock Guardrails to evaluate user inputs and model responses. Amazon Bedrock Guardrails allows you to define rules and policies that evaluate and constrain both user inputs and model responses. By configuring guardrails, you can prevent the generative AI model from producing hallucinated or non-factual outputs, ensuring the chatbot…

Submitted by ahmad_uae· Mar 30, 2026Guidelines for Responsible AI

Question

A financial services company must ensure that its generative AI-powered chatbot provides factual responses for regulatory compliance. Which solution prevents the underlying foundation model (FM) from hallucinating?

Options

AUse AWS Config to query compliance metadata by using natural language.
BConfigure Amazon Bedrock Guardrails to evaluate user inputs and model responses.
CUse Amazon Fraud Detector to detect potentially fraudulent online activities.
DUse AWS Audit Manager to prepare IT audit and compliance reports.

How the community answered

(53 responses)

A
11% (6)
B
79% (42)
C
4% (2)
D
6% (3)

Explanation

Amazon Bedrock Guardrails allows you to define rules and policies that evaluate and constrain both user inputs and model responses. By configuring guardrails, you can prevent the generative AI model from producing hallucinated or non-factual outputs, ensuring the chatbot adheres to compliance requirements and provides factual responses. This directly addresses the need to control hallucinations in generative AI systems for regulatory compliance.

Topics

#hallucination prevention#Amazon Bedrock Guardrails#regulatory compliance#responsible AI

Community Discussion

No community discussion yet for this question.

Full AIF-C01 Practice