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Amazon MLS-C01 Exam - Topic 4 Question 133 Discussion

[Data Engineering]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?
B) Use Amazon Rekognition for automatic processing. Use Amazon A2I with a private workforce option for manual review.
A) Use Amazon Textract for automatic processing. Use Amazon A2I with Amazon Mechanical Turk 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

Amazon MLS-C01 Exam - Topic 4 Question 133 Discussion

Actual exam question for Amazon's MLS-C01 exam
Question #: 133
Topic #: 4
[All MLS-C01 Questions]

[Data Engineering]

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?

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Suggested Answer: B

by Janessa at Jun 16, 2026, 07:30 AM

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Quiana
2 days ago
Definitely going with B, it’s a solid combo!
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Melynda
7 days ago
I disagree, Textract is more suited for text, not images.
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Anthony
12 days ago
B is the best choice, Rekognition is perfect for image analysis.
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Kenneth
17 days ago
I feel like AWS Panorama is for video processing, right? I’m not confident about that, but it seems off for just images.
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Peggie
22 days ago
I practiced a similar question where we had to choose between using A2I with different workforce options. I think the private workforce could be more efficient for quality control.
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Danica
28 days ago
I’m not entirely sure, but I think Amazon Textract is more for text extraction, not images. So that option might not work here.
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Celestina
1 month ago
I remember we discussed using Amazon Rekognition for image analysis in class. It seems like a good fit for detecting defects in images.
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