Amazon Exam MLS-C01 Topic 9 Question 86 Discussion

Actual exam question for Amazon's MLS-C01 exam

Question #: 86
Topic #: 9

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?

AUse Amazon Textract for automatic processing. Use Amazon A2I with Amazon Mechanical Turk for manual review.

BUse Amazon Rekognition for automatic processing. Use Amazon A2I with a private workforce option for manual review.

CUse Amazon Transcribe for automatic processing. Use Amazon A2I with a private workforce option for manual review.

DUse AWS Panorama for automatic processing Use Amazon A2I with Amazon Mechanical Turk for manual review

Show Suggested Answer

Suggested Answer: B

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

by Alline at Feb 12, 2024, 08:31 PM

Limited Time Offer

25%

Off

Get Premium MLS-C01 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Edelmira

9 days ago

Haha, I can just imagine the reviewers on Mechanical Turk trying to figure out those plaque defects. 'Is that a crack or just a shadow? Hmm, let me get a second opinion on this one.'

upvoted 0 times

...

Portia

10 days ago

You know, I was actually leaning towards option A. Using Amazon Textract for the automatic processing and then having the manual review done through Amazon Mechanical Turk and Amazon A2I seems like a pretty comprehensive solution to me.

upvoted 0 times

...

Donette

11 days ago

I'm not so sure about that. What about option D? AWS Panorama could be a great choice for the automatic processing, and pairing it with Amazon A2I and Mechanical Turk for the manual review seems like a pretty solid approach too.

upvoted 0 times

...

Antonio

12 days ago

Hmm, this is an interesting question. I think option B is the best solution here. Amazon Rekognition seems like the perfect fit for the automatic image processing, and using the private workforce option for the manual review with Amazon A2I would ensure that the quality control is thorough and reliable.

upvoted 0 times

...