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A hospital seeks to digitize its extensive historical records, with daily additions of hundreds of new documents. The scanned documents will be uploaded to AWS. The architect's task is to implement a scalable, efficient solution for analyzing, extracting medical data, and enabling SQL query capability on the stored documents. Which two-step combination best meets these criteria?
A
Utilize an Amazon EC2 instance with a MySQL database for document storage.
B
Store documents in an Amazon S3 bucket and employ Amazon Athena for data querying.
C
Establish an Auto Scaling group of EC2 instances to execute a custom application for processing and medical data extraction from scanned files.
D
Deploy a Lambda function triggered by document uploads, leveraging Amazon Rekognition for text conversion and Amazon Transcribe Medical for medical information extraction.
E
Implement a Lambda function activated by document uploads, using Amazon Textract for text conversion and Amazon Comprehend Medical for extracting pertinent medical insights.