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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 115 discussion

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?

  • A. Use the event tracker in Amazon Personalize to include real-time user interactions.
  • B. Add user metadata and use the HRNN-Metadata recipe in Amazon Personalize.
  • C. Implement a new solution using the built-in factorization machines (FM) algorithm in Amazon SageMaker.
  • D. Add event type and event value fields to the interactions dataset in Amazon Personalize.
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Suggested Answer: A 🗳️

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SophieSu
Highly Voted 2 years, 6 months ago
A is the correct answer. Because in this case, it is not the problem with the existing historical data (event value, event type(click or not)), the sales do not keep growing and now you need to obtain more recent interactive data. An event tracker specifies a destination dataset group for new event data.
upvoted 38 times
AjithkumarSL
2 years, 6 months ago
I agree.. A is the right choice.. The model need the real time data to adjust to create recommendations..
upvoted 3 times
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ovokpus
Highly Voted 1 year, 10 months ago
Selected Answer: A
here is the receipt: https://docs.aws.amazon.com/personalize/latest/dg/maintaining-relevance.html
upvoted 6 times
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Mickey321
Most Recent 8 months ago
Selected Answer: A
A real time data
upvoted 1 times
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vingidost
1 year, 1 month ago
A is the right choice.
upvoted 1 times
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AjoseO
1 year, 2 months ago
Selected Answer: A
A. Use the event tracker in Amazon Personalize to include real-time user interactions. By using the event tracker in Amazon Personalize, the data scientist can collect real-time user interactions, including clicks, views, and purchases, and use these interactions to update the model and generate more accurate recommendations. This could help address the decrease in sales after deploying a new solution version, as the model can be updated to reflect the latest customer behavior. Additionally, including real-time user interactions can help the model better respond to changes in customer behavior and provide more relevant and personalized recommendations, which can help increase sales.
upvoted 2 times
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apprehensive_scar
2 years, 2 months ago
Selected Answer: A
easy one. A
upvoted 2 times
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Huy
2 years, 5 months ago
A. https://docs.aws.amazon.com/personalize/latest/dg/recording-events.html
upvoted 3 times
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A (35%)
C (25%)
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