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Amazon MLS-C01 Exam - 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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Joseph
3 months ago
B could be effective, but requires more effort to set up.
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Louvenia
3 months ago
Wait, can Fraud Detector really catch everything?
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Dan
3 months ago
A is too limiting, only past products?
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Johnetta
4 months ago
I disagree, D gives more control over the review process.
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Cammy
4 months ago
Option C seems like the easiest way to handle fraud detection.
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Frank
4 months ago
I think option D could work too, but it sounds like it would involve more manual review, which might not align with the goal of least operational effort.
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Daron
4 months ago
I feel like option C could be the best choice since it automates the approval process, but I wonder if it might miss some edge cases.
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Luisa
4 months ago
I'm not entirely sure, but I think training a custom model might require more resources than just using an existing API.
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Antonio
5 months ago
I remember we discussed using Amazon Fraud Detector in class, and it seemed like a straightforward option for minimizing operational effort.
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Alison
5 months ago
I'm leaning towards option C. Using the Amazon Fraud Detector API seems like the simplest and most straightforward solution to meet the requirements. It might be worth exploring that option further.
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Gail
5 months ago
Option B looks interesting, but I'm not sure if training a custom fraud detection model is the "least operational effort" as required. I'll need to consider the effort involved in that approach.
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Mila
5 months ago
I'm a bit confused by the wording of this question. It's not clear to me what the "least operational effort" means exactly. I'll need to think through the pros and cons of each option carefully.
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Kristian
5 months ago
This question seems straightforward. I think option D is the best choice since it allows the company to review potentially fraudulent activities and make the final decision on rejecting transactions.
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Rodrigo
1 year 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
1 year 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
1 year 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
1 year ago
B: I agree with you. Option C sounds like a good balance between effectiveness and operational effort.
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Mitzie
1 year 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
1 year ago
I agree with Eve, option C seems like the most efficient solution.
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Eve
1 year ago
But option C allows for automatic approval or denial based on Fraud Detector's identification.
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Louvenia
1 year ago
I disagree, I believe option D is more effective.
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Tennie
1 year 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
1 year ago
But using a custom fraud detection model could potentially be more accurate in identifying fraudulent transactions.
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Malcolm
1 year ago
I agree, having human oversight can help catch any false positives that the system might miss.
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Barrett
1 year 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 year ago
Let's go with option C then, it seems like the best solution for our needs.
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Brandon
1 year 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
1 year ago
It would definitely save us time and effort in manually reviewing potentially fraudulent transactions.
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Tamekia
1 year 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
1 year ago
It's important to have a reliable system in place to catch fraudulent activities.
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Stefania
1 year ago
Using the Fraud Detector prediction API would definitely save us time and effort.
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Reyes
1 year ago
I agree, option C sounds like the most efficient choice.
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Bettye
1 year 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
1 year ago
I think option C is the best choice.
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