AWS Certified Solutions Architect – Associate (SAA-C03) — Question 62

A hospital recently deployed a RESTful API with Amazon API Gateway and AWS Lambda. The hospital uses API Gateway and Lambda to upload reports that are in PDF format and JPEG format. The hospital needs to modify the Lambda code to identify protected health information (PHI) in the reports.
Which solution will meet these requirements with the LEAST operational overhead?

Answer options

• A. Use existing Python libraries to extract the text from the reports and to identify the PHI from the extracted text.
• B. Use Amazon Textract to extract the text from the reports. Use Amazon SageMaker to identify the PHI from the extracted text.
• C. Use Amazon Textract to extract the text from the reports. Use Amazon Comprehend Medical to identify the PHI from the extracted text.
• D. Use Amazon Rekognition to extract the text from the reports. Use Amazon Comprehend Medical to identify the PHI from the extracted text.

Correct answer: C

Explanation

Option C is the best choice as Amazon Textract is specifically designed for extracting text from documents, and Amazon Comprehend Medical is tailored for identifying medical information, which includes PHI. Option A requires manual coding and maintenance of libraries, increasing operational overhead. Option B introduces Amazon SageMaker, which is more complex and requires additional configuration. Option D uses Amazon Rekognition, which is not suited for text extraction from documents like PDFs and JPEGs.