AWS Certified Machine Learning – Specialty — Question 105

A company is using Amazon Textract to extract textual data from thousands of scanned text-heavy legal documents daily. The company uses this information to process loan applications automatically. Some of the documents fail business validation and are returned to human reviewers, who investigate the errors. This activity increases the time to process the loan applications.
What should the company do to reduce the processing time of loan applications?

Answer options

• A. Configure Amazon Textract to route low-confidence predictions to Amazon SageMaker Ground Truth. Perform a manual review on those words before performing a business validation.
• B. Use an Amazon Textract synchronous operation instead of an asynchronous operation.
• C. Configure Amazon Textract to route low-confidence predictions to Amazon Augmented AI (Amazon A2I). Perform a manual review on those words before performing a business validation.
• D. Use Amazon Rekognition's feature to detect text in an image to extract the data from scanned images. Use this information to process the loan applications.

Correct answer: C

Explanation

Option C is the correct answer because Amazon Augmented AI (Amazon A2I) is specifically designed to facilitate human review of low-confidence predictions, improving validation efficiency. Option A suggests using Amazon SageMaker Ground Truth, which is not tailored for this scenario. Option B does not address the need for human review of low-confidence data, and option D uses a different service, Amazon Rekognition, which is not optimal for text extraction from documents compared to Textract.