Q1 — AWS SAA-C03 Ch.4

Question 1 of 105 | ← Chapter 4

Q196. A hospital wants to create digital copies for its large collection of historical written records. The hospital will continue to add hundreds of new documents each day. The hospital's data team will scan the documents and will upload the documents to the AWS CloudA solutions architect must implement a solution to analyze the documents, extract the medical information, and store the documents so that an application can run SQL queries on the data. The solution must maximize scalability and operational efficiencyWhich combination of steps should the solutions architect take to meet these requirements? (Select TWO.)

• A. Write the document information to an Amazon EC2 instance that runs a MySQl database
• B. Write the document information to an Amazon S3 bucket. Use Amazon Athena to query the data ✓
• C. Create an Auto Scaling group of Amazon EC2 instances to run a custom application that processes the scanned files and extracts the medical information
• D. Create an AWS Lambda function that runs when new documents are uploaded. Use Amazon Rekognition to convert the documents to raw text. Use Amazon Transcribe Medical to detect and extract relevant medical information from the text
• E. Create an AWS Lambda function that runs when new documents are uploaded. Use Amazon Textract to convert the documents to raw text. Use Amazon Comprehend Medical to detect and extract relevant medical information from the text ✓

Correct Answer: B. Write the document information to an Amazon S3 bucket. Use Amazon Athena to query the data, E. Create an AWS Lambda function that runs when new documents are uploaded. Use Amazon Textract to convert the documents to raw text. Use Amazon Comprehend Medical to detect and extract relevant medical information from the text

Explanation

To analyze the historical written records, extract medical information and store the documents for SQL queries with maximum scalability and operational efficiency, a solutions architect should create an AWS Lambda function that runs when new documents are uploaded. The Lambda function should use Amazon Textract to convert the documents to raw text and use Amazon Comprehend Medical to detect and extract relevant medical information from the text. The document information should then be written to an Amazon S3 bucket. Therefore, options E and B are the correct answers.Option A suggests writing the document information to an Amazon EC2 instance that runs a MySQL database. While this approach can work, it may not provide the scalability required for processing hundreds of new documents each day.Option C suggests creating an Auto Scaling group of Amazon EC2 instances to run a custom application that processes the scanned files and extracts the medical information. While this approach can work, it may require more operational overhead compared to using AWS Lambda.Option D suggests creating an AWS Lambda function that uses Amazon Rekognition to convert the documents to raw text and Amazon Transcribe Medical to detect and extract relevant medical information from the text. While this approach can work, it may not provide the same level of accuracy and flexibility as using Amazon Textract and Amazon Comprehend Medical.By creating an AWS Lambda function that uses Amazon Textract to convert the documents to raw text and Amazon Comprehend Medical to detect and extract relevant medical information from the text, the hospital can accurately and efficiently process new documents as they are uploaded. Writing the document information to an Amazon S3 bucket allows for easy and cost-effective storage. Using Amazon Athena to query the data provides the ability to run SQL queries without having to provision or manage infrastructure. This solution provides maximum scalability and operational efficiency while meeting the requireme