MLS-C01 · Question #391
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…
The correct answer is C. Use the Amazon Fraud Detector prediction API to approve or deny any activities that Fraud. Using the Amazon Fraud Detector prediction API to automatically approve or deny activities based on its identification of fraud requires the least operational effort. Amazon Fraud Detector is a managed service designed specifically to detect fraud, and using it to automatically…
Question
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?
Options
- AUse Amazon SageMaker to approve transactions only for products the company has sold in the
- 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
- DUse the Amazon Fraud Detector prediction API to identify potentially fraudulent activities so the
How the community answered
(58 responses)- A3% (2)
- B17% (10)
- C71% (41)
- D9% (5)
Explanation
Using the Amazon Fraud Detector prediction API to automatically approve or deny activities based on its identification of fraud requires the least operational effort. Amazon Fraud Detector is a managed service designed specifically to detect fraud, and using it to automatically reject transactions deemed fraudulent aligns with the company's goal of risk mitigation. This approach minimizes manual intervention, making it operationally efficient.
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