
Ultimate access to all questions.
Deep dive into the quiz with AI chat providers.
We prepare a focused prompt with your quiz and certificate details so each AI can offer a more tailored, in-depth explanation.
A bank is deploying a Bedrock chatbot that must avoid producing biased or non-compliant statements. Which Bedrock feature should be used to set tone, topic and safety limits?
A
Knowledge Bases for Amazon Bedrock
B
Guardrails for Amazon Bedrock
C
Agents for Bedrock
D
Continued pre-training
Explanation:
Guardrails for Amazon Bedrock is the correct feature for setting tone, topic, and safety limits to prevent biased or non-compliant statements.
Safety Controls: Guardrails provide configurable safety filters to detect and filter harmful content
Content Filtering: They can block or mask sensitive topics, inappropriate content, and biased statements
Tone Management: Guardrails help maintain appropriate tone and language for specific use cases
Compliance Alignment: Essential for regulated industries like banking to ensure compliance with financial regulations
A) Knowledge Bases for Amazon Bedrock: This feature is for connecting foundation models to company data sources for retrieval-augmented generation (RAG), not for safety controls
C) Agents for Bedrock: This feature enables conversational agents to complete tasks using APIs and knowledge bases, not specifically for safety guardrails
D) Continued pre-training: This refers to further training foundation models on specific datasets, which is a model customization approach rather than a safety control feature
Guardrails are specifically designed to implement safety policies and content filters
They help organizations meet compliance requirements in regulated industries
Guardrails can be customized to block specific topics, filter profanity, and detect sensitive information
This is particularly important for financial institutions like banks that must avoid biased or non-compliant outputs