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Amazon Exam MLS-C01 Topic 4 Question 109 Discussion

Actual exam question for Amazon's MLS-C01 exam
Question #: 109
Topic #: 4
[All MLS-C01 Questions]

A business to business (B2B) ecommerce company wants to develop a fair and equitable risk mitigation strategy to reject potentially fraudulent transactions. The company wants to reject fraudulent transactions despite the possibility of losing some profitable transactions or customers.

Which solution will meet these requirements with the LEAST operational effort?

Show Suggested Answer Hide Answer
Suggested Answer: C

Amazon Fraud Detector is a managed service designed to detect potentially fraudulent online activities, such as transactions. It uses machine learning and business rules to classify activities as fraudulent or legitimate, minimizing the need for custom model training. By using the Amazon Fraud Detector prediction API, the company can automatically approve or reject transactions flagged as fraudulent, implementing an efficient risk mitigation strategy without extensive operational effort.

This approach requires minimal setup and effectively allows the company to block fraudulent transactions with high confidence, addressing the business's need to balance risk mitigation and customer impact.


by Marica at Dec 09, 2024, 01:41 AM

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Rodrigo
2 months ago
Option A? Really? That's like trying to catch a thief by only watching the door they've used before. Not impressed.
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Justine
2 months ago
Option B sounds like the most comprehensive solution, but it might be overkill for this scenario. Hmm, tough call.
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Mariko
14 days ago
A: Yeah, it's important to find a solution that can efficiently detect fraud without causing too much disruption to the business.
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Elenore
23 days ago
B: I agree with you. Option C sounds like a good balance between effectiveness and operational effort.
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Mitzie
1 months ago
A: I think option C could be the best choice. It seems like a straightforward way to identify and reject fraudulent activities.
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Willow
2 months ago
I agree with Eve, option C seems like the most efficient solution.
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Eve
2 months ago
But option C allows for automatic approval or denial based on Fraud Detector's identification.
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Louvenia
2 months ago
I disagree, I believe option D is more effective.
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Tennie
2 months ago
I'd go with option D. Keeping human oversight on the process is important, even if it requires a bit more effort.
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Terrilyn
2 months ago
But using a custom fraud detection model could potentially be more accurate in identifying fraudulent transactions.
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Malcolm
2 months ago
I agree, having human oversight can help catch any false positives that the system might miss.
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Barrett
3 months ago
Option C seems like the easiest and most straightforward solution. Let the Fraud Detector do all the heavy lifting!
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Shawna
1 months ago
Let's go with option C then, it seems like the best solution for our needs.
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Brandon
1 months ago
I think it's important to prioritize security and fraud prevention, even if it means rejecting some profitable transactions.
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Blythe
2 months ago
It would definitely save us time and effort in manually reviewing potentially fraudulent transactions.
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Tamekia
2 months ago
I agree, using the Amazon Fraud Detector prediction API to approve or deny activities identified as fraudulent sounds efficient.
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Francesco
2 months ago
It's important to have a reliable system in place to catch fraudulent activities.
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Stefania
2 months ago
Using the Fraud Detector prediction API would definitely save us time and effort.
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Reyes
2 months ago
I agree, option C sounds like the most efficient choice.
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Bettye
2 months ago
Option C seems like the easiest and most straightforward solution. Let the Fraud Detector do all the heavy lifting!
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Eve
3 months ago
I think option C is the best choice.
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