AIP-C01 Question #72: Real Exam Question with Answer & Explanation

Question

A bank is building a generative AI (GenAI) application that uses Amazon Bedrock to assess loan applications by using scanned financial documents. The application must extract structured data from the documents. The application must redact personally identifiable information (PII) before inference. The application must use foundation models (FMs) to generate approvals. The application must route low-confidence document extraction results to human reviewers who are within the same AWS Region as the loan applicant. The company must ensure that the application complies with strict Regional data residency and auditability requirements. The application must be able to scale to handle 25,000 applications each day and provide 99.9% availability. Which combination of solutions will meet these requirements? (Select THREE.)

Options

• ADeploy Amazon Textract and Amazon Augmented AI within the same Region to extract relevant
• BUse AWS Lambda functions to detect and redact PII from submitted documents before inference.
• CUse Amazon Kendra and Amazon OpenSearch Service to extract field-level values semantically
• DStore uploaded documents in Amazon S3 and apply object metadata. Configure IAM policies to
• EUse AWS Glue Data Quality to validate the structured document data. Use AWS Step Functions
• FUse Amazon SageMaker Clarify to generate fairness and bias reports based on model scoring