AWS Certified Cloud Practitioner
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A healthcare AI startup wants to build a chatbot that references sensitive medical data but must comply with HIPAA privacy standards. Which AWS feature helps ensure safe deployment of generative-AI applications?
Real Exam
Community
RRitesh
0
A
Knowledge Bases for Amazon Bedrock
B
Guardrails for Amazon Bedrock
C
Fine-tuning foundation models
D
AWS Lambda event filters
Explanation:
Explanation
Guardrails for Amazon Bedrock is the correct answer because it provides safety controls specifically designed for generative AI applications. Here's why:
Key Features of Guardrails for Amazon Bedrock:
- Content filtering: Blocks or filters inappropriate, unsafe, or sensitive content
- HIPAA compliance: Helps enforce privacy and security requirements for healthcare data
- Topic control: Prevents the AI from discussing restricted topics
- Word filtering: Blocks specific sensitive words or phrases
- Safety controls: Protects against harmful or biased outputs
Why other options are incorrect:
- A) Knowledge Bases for Amazon Bedrock: This is for retrieving information from data sources, not for safety/compliance controls
- C) Fine-tuning foundation models: This improves model performance but doesn't provide safety guardrails
- D) AWS Lambda event filters: This is for filtering event triggers, not for AI safety or HIPAA compliance
For healthcare applications handling sensitive medical data under HIPAA, Guardrails for Amazon Bedrock provides the necessary safety controls to ensure compliant and secure deployment of generative AI chatbots.
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