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Question 263 - MLS-C01 discussion

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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 Al (Amazon A2I).

Which solution will meet these requirements?

A.
Use Amazon Textract for automatic processing. Use Amazon A2I with Amazon Mechanical Turk for manual review.
Answers
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.
Answers
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.
Answers
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
Answers
D.
Use AWS Panorama for automatic processing Use Amazon A2I with Amazon Mechanical Turk for manual review
Suggested answer: B

Explanation:

Amazon Rekognition is a service that provides computer vision capabilities for image and video analysis, such as object, scene, and activity detection, face and text recognition, and custom label detection. Amazon Rekognition can be used to automate the quality control process for plaques by comparing the images of the plaques with the images of defects in the Amazon S3 bucket and returning a confidence score for each defect. Amazon A2I is a service that enables human review of machine learning predictions, such as low-confidence predictions from Amazon Rekognition. Amazon A2I can be integrated with a private workforce option, which allows the engraving company to use its own internal team of reviewers to manually inspect the plaques that are flagged by Amazon Rekognition. This solution meets the requirements of automating the quality control process, sending low-confidence predictions to an internal team of reviewers, and using Amazon A2I for manual review.References:

1: Amazon Rekognition documentation

2: Amazon A2I documentation

3: Amazon Rekognition Custom Labels documentation

4: Amazon A2I Private Workforce documentation

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asked 16/09/2024
Matt Harrold
44 questions
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