Amazon Exam MLS-C01 Topic 4 Question 109 Discussion

Actual exam question for Amazon's MLS-C01 exam

Question #: 109
Topic #: 4

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?

AUse Amazon SageMaker to approve transactions only for products the company has sold in the past.

BUse Amazon SageMaker to train a custom fraud detection model based on customer data.

CUse the Amazon Fraud Detector prediction API to approve or deny any activities that Fraud Detector identifies as fraudulent.

DUse the Amazon Fraud Detector prediction API to identify potentially fraudulent activities so the company can review the activities and reject fraudulent transactions.

Show Suggested 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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20 days 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

8 days ago

But using a custom fraud detection model could potentially be more accurate in identifying fraudulent transactions.

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Malcolm

12 days ago

I agree, having human oversight can help catch any false positives that the system might miss.

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1 months ago

I think option C is the best choice.

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