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Exam AWS Certified Machine Learning - Specialty All Questions

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Exam AWS Certified Machine Learning - Specialty topic 1 question 364 discussion

Exam question from Amazon's AWS Certified Machine Learning - Specialty
Question #: 364
Topic #: 1
[All AWS Certified Machine Learning - Specialty 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?

  • A. Use Amazon SageMaker to approve transactions only for products the company has sold in the past.
  • B. Use Amazon SageMaker to train a custom fraud detection model based on customer data.
  • C. Use the Amazon Fraud Detector prediction API to approve or deny any activities that Fraud Detector identifies as fraudulent.
  • D. Use the Amazon Fraud Detector prediction API to identify potentially fraudulent activities so the company can review the activities and reject fraudulent transactions.
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Suggested Answer: C 🗳️
by MultiCloudIronMan at Oct. 30, 2024, 10:40 p.m.
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MultiCloudIronMan
2 weeks, 1 day ago
Selected Answer: C
This approach ensures that fraudulent transactions are effectively rejected, even if it means losing some profitable transactions, aligning with the company's risk mitigation strategy.
upvoted 1 times
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