AWS Certified Generative AI Developer - Professional
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A healthcare company is building a generative AI application that will answer questions about patient medical reports. The reports are stored in an Amazon S3 bucket and contain protected health information (PHI). The company must comply with regulations that require medical reports older than 3 years to be deleted. The application will be used by two types of users: surgeons, who need to see PHI to make treatment decisions, and biomedical engineers, who should see only de-identified data for research purposes. The company wants to use Amazon Bedrock knowledge bases to retrieve relevant information from the reports. Which solution will meet these requirements?
A
Create a single knowledge base. Use an AWS Lambda function to redact PHI from the reports before syncing them to the knowledge base. Configure the knowledge base to use an S3 Lifecycle configuration to delete documents older than 3 years.
B
Create a single knowledge base. Use an AWS Lambda function to redact PHI from the reports before syncing them to the knowledge base. Schedule a weekly Lambda function to scan the S3 bucket and remove documents older than 3 years.
C
Create a single knowledge base. Use an S3 Lifecycle configuration to delete documents older than 3 years. Schedule a Lambda function to sync the knowledge base with the S3 bucket weekly. Configure Amazon Bedrock guardrails to mask PHI in responses for biomedical engineers.
D
Create a second knowledge base. Use Lambda and Amazon Comprehend to redact PII before syncing to the second knowledge base. Route users to the appropriate knowledge base based on Cognito group membership.