A company has migrated Its forms-processing application to AWS. When users interact with the application, they upload scanned forms as files through a web application. A database stores user metadata and references to files that are stored in Amazon S3. The web application runs on Amazon EC2 instances and an Amazon RDS for PostgreSQL database. When forms are uploaded, the application sends notifications to a team through Amazon Simple Notification Service (Amazon SNS). A team member then logs in and processes each form. The team member performs data validation on the form and extracts relevant data before entering the information into another system that uses an API. A solutions architect needs to automate the manual processing of the forms. The solution must provide accurate form extraction. minimize time to market, and minimize tong-term operational overhead. Which solution will meet these requirements?
Select one answer.
Marked answer: D
Community Discussion
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Chose D1
Amazon Textract: Fully managed OCR service optimized for form data extraction Handles structured and unstructured documents accurately No need to train ML models Amazon Comprehend: Extracts entities, key phrases, and insights from text Enhances accuracy when interpreting extracted form content AWS Step Functions + Lambda: Serverless and scalable Low operational overhead — no EC2 to manage Easily orchestrates Textract → Comprehend → API steps Time to market: All services are fully managed, no custom training or model hosting Easy to plug into an existing architectur
Chose D1
D. This solution meets the requirements of accurate form extraction, minimal time to market, and minimal long-term operational overhead
