AWS Certified Solutions Architect – Associate (SAA-C03) — Question 199
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 Cloud.
A 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 efficiency.
Which combination of steps should the solutions architect take to meet these requirements? (Choose two.)
Answer options
- 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, E
Explanation
The correct answer is B and E. Option B allows for scalable storage in Amazon S3, and Amazon Athena enables efficient SQL querying of the data. Option E uses AWS Lambda, Amazon Textract, and Amazon Comprehend Medical to automate the conversion and extraction of medical information, making it an efficient solution. Options A, C, and D are less optimal as they either do not scale well or do not effectively leverage the AWS services for document analysis and querying.