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Amazon MLS-C01 Exam - 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


Contribute your Thoughts:

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Lili
3 months ago
Surprised there's no mention of using AI for defect detection!
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Eleni
3 months ago
Definitely leaning towards B, it makes sense!
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Eugene
4 months ago
Wait, why would you use Amazon Transcribe for this?
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Dean
4 months ago
I disagree, A could work too!
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Caprice
4 months ago
B seems like the best choice for image defects.
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Eden
4 months ago
I’m a bit confused about AWS Panorama. Is it really meant for image processing? I thought it was more for video analytics.
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Farrah
4 months ago
I feel like we had a similar question about using A2I with a private workforce. It seems like option B aligns with that practice.
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Ty
4 months ago
I'm not entirely sure, but I remember that Textract is more for text extraction, not image defects. So that rules out option A, I think.
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Audrie
5 months ago
I think we discussed using Amazon Rekognition for image analysis in class, so option B might be the right choice.
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Gail
5 months ago
I'm leaning towards option B. Using Amazon Rekognition for the automatic processing and a private workforce for the manual review seems like the most appropriate solution based on the requirements.
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Thora
5 months ago
Okay, let's think this through step-by-step. We need automatic processing of the images, and then a manual review process for low-confidence predictions. The services mentioned seem to align with those needs.
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Leoma
5 months ago
Hmm, I'm a bit unsure about the differences between the various AWS services mentioned. I'll need to review the service capabilities more closely.
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Marvel
5 months ago
This seems like a pretty straightforward question. I think the key is to identify the right AWS services to meet the requirements.
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Serina
5 months ago
Hmm, I'm a bit unsure about the difference between some of these concepts. I'll need to think carefully about how they are typically used in the context of data management.
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Micah
5 months ago
I'm a bit confused on the differences between the proxy options. I'll need to review the details of each to determine the best recommendation.
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Dorinda
5 months ago
Hmm, I'm a bit confused on the differences between the encryption modes. I'll need to review my notes to remember which one has that specific property.
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Kaitlyn
5 months ago
Okay, I think I've got this. DMS and Data Works are the two scheduling tools supported by AnalyticDB for MySQL. I'm feeling confident about this one.
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Darci
2 years ago
But using Amazon A2I with a private workforce option for manual review might be more reliable.
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Veronique
2 years ago
I believe using Amazon Rekognition for automatic processing would be more efficient.
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Larae
2 years ago
I agree with Darci, and we can use Amazon A2I with Amazon Mechanical Turk for manual review.
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Darci
2 years ago
I think we should use Amazon Textract for automatic processing.
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Edelmira
2 years 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
2 years 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
2 years 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
2 years 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
2 years ago
Yes, technology like Amazon Rekognition and Amazon A2I really streamline the process and improve overall efficiency.
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Aliza
2 years 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
2 years ago
Definitely. Option B provides a comprehensive solution for automating and reviewing the quality of the plaques.
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Selma
2 years 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
2 years ago
That's true. It ensures that the quality control process is both efficient and reliable.
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Wilda
2 years 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
2 years ago
Option B is definitely the way to go. Amazon Rekognition is great for automatic processing.
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