AWS Certified Machine Learning – Specialty — Question 242

An engraving company wants to automate its quality control process for plaques. The company performs the process before mailing each customized plaque to a customer. The company has created an Amazon S3 bucket that contains images of defects that should cause a plaque to be rejected. Low-confidence predictions must be sent to an internal team of reviewers who are using Amazon Augmented AI (Amazon A2I).

Which solution will meet these requirements?

Answer options

• A. Use Amazon Textract for automatic processing. Use Amazon A2I with Amazon Mechanical Turk for manual review.
• B. Use Amazon Rekognition for automatic processing. Use Amazon A2I with a private workforce option for manual review.
• C. Use Amazon Transcribe for automatic processing. Use Amazon A2I with a private workforce option for manual review.
• D. Use AWS Panorama for automatic processing. Use Amazon A2I with Amazon Mechanical Turk for manual review.

Correct answer: B

Explanation

The correct answer is B because Amazon Rekognition is specifically designed for image analysis, making it suitable for detecting defects in plaques. In contrast, Amazon Textract is for extracting text, Amazon Transcribe is for speech-to-text, and AWS Panorama is focused on video analytics, none of which are optimal for this scenario.