MLS-C01 · Question #125
MLS-C01 Question #125: Real Exam Question with Answer & Explanation
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Question
A retail company is using Amazon Personalize to provide personalized product recommendations for its customers during a marketing campaign. The company sees a significant increase in sales of recommended items to existing customers immediately after deploying a new solution version, but these sales decrease a short time after deployment. Only historical data from before the marketing campaign is available for training. How should a data scientist adjust the solution?
Options
- AUse the event tracker in Amazon Personalize to include real-time user interactions.
- BAdd user metadata and use the HRNN-Metadata recipe in Amazon Personalize.
- CImplement a new solution using the built-in factorization machines (FM) algorithm in Amazon
- DAdd event type and event value fields to the interactions dataset in Amazon Personalize.
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