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Amazon Exam MLS-C01 Topic 9 Question 86 Discussion

Actual exam question for Amazon's MLS-C01 exam
Question #: 86
Topic #: 9
[All MLS-C01 Questions]

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?

Show Suggested Answer Hide 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

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Darci
5 months ago
But using Amazon A2I with a private workforce option for manual review might be more reliable.
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Veronique
6 months ago
I believe using Amazon Rekognition for automatic processing would be more efficient.
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Larae
6 months ago
I agree with Darci, and we can use Amazon A2I with Amazon Mechanical Turk for manual review.
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Darci
6 months ago
I think we should use Amazon Textract for automatic processing.
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Edelmira
7 months 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.'
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Portia
7 months 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.
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Donette
7 months 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.
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Antonio
7 months 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.
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Elvis
6 months ago
Yes, technology like Amazon Rekognition and Amazon A2I really streamline the process and improve overall efficiency.
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Aliza
7 months ago
It's reassuring to know that companies have these advanced tools available to maintain high standards in their products.
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Dacia
7 months ago
Definitely. Option B provides a comprehensive solution for automating and reviewing the quality of the plaques.
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Selma
7 months ago
Absolutely. It's important to have a thorough system in place for checking the plaques before sending them out to customers.
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Sol
7 months ago
That's true. It ensures that the quality control process is both efficient and reliable.
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Wilda
7 months ago
I agree. And using the private workforce option for manual review with Amazon A2I adds an extra layer of accuracy.
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Ira
7 months ago
Option B is definitely the way to go. Amazon Rekognition is great for automatic processing.
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