SAP-C02 · Question #396
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…
The correct answer is A. Develop custom libraries to perform optical character recognition (OCR) on the forms. Deploy the. Developing custom libraries and deploying them to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster as an application tier allows the OCR processing to be done in real-time when forms are uploaded, and allows for more accurate form extraction. The use of Kubernetes…
Question
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 long-term operational overhead. Which solution will meet these requirements?
Options
- ADevelop custom libraries to perform optical character recognition (OCR) on the forms. Deploy the
- BExtend the system with an application tier that uses AWS Step Functions and AWS Lambda.
- CHost a new application tier on EC2 instances. Use this tier to call endpoints that host artificial
- DExtend the system with an application tier that uses AWS Step Functions and AWS Lambda.
How the community answered
(30 responses)- A83% (25)
- B3% (1)
- C3% (1)
- D10% (3)
Explanation
Developing custom libraries and deploying them to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster as an application tier allows the OCR processing to be done in real-time when forms are uploaded, and allows for more accurate form extraction. The use of Kubernetes allows for easy scaling and management of the application tier, minimizing long-term operational overhead. Storing the output in Amazon S3 and parsing the data into an Amazon DynamoDB table allows for easy access and querying of the data, minimizing time to market. Amazon Elastic Kubernetes Service (EKS): https://aws.amazon.com/eks/ Amazon DynamoDB: https://aws.amazon.com/dynamodb/ Optical Character Recognition (OCR): https://en.wikipedia.org/wiki/Optical_character_recognition
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