AWS Certified Generative AI Developer - Professional AIP-C01

By Amazon · Question Mode

QuestionQ49

Foundation Model Integration, Data Management, and Compliance

A bank is developing a generative AI (GenAI) application that uses Amazon Bedrock to evaluate loan applications from scanned financial documents. The application must extract structured data from the documents. It must redact personally identifiable information (PII) before inference. It must use foundation models (FMs) to generate approvals. It must route document-extraction results with low confidence to human reviewers located in the same AWS Region as the loan applicant.

The company must ensure the application meets strict Regional data-residency and auditability requirements. The application must scale to process 25,000 applications per day and provide 99.9% availability.

Which combination of solutions meets these requirements?

Choose three
Explanation

Amazon Textract extracts document data, and Amazon A2I integrates with Textract to create human-review loops when configured confidence conditions are met. AWS Lambda can perform application-specific PII redaction before the data is sent for inference, while Amazon Bedrock Guardrails can detect and mask sensitive information and apply output safety controls. AWS Glue Data Quality validates the extracted structured data, and AWS Step Functions can orchestrate the workflow, including invoking Amazon Bedrock after prompt transformation. These managed, serverless services provide scalable workflow processing and retain regional deployment boundaries when configured in each required Region.

Learn more

Community Discussion

No comments yet. Be the first to start the discussion!