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Exam Certified Tableau CRM and Einstein Discovery Consultant All Questions

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Exam Certified Tableau CRM and Einstein Discovery Consultant topic 1 question 95 discussion

To model customer value, a consultant decided to aggregate the amount ($) individual customers spent over a 2-year span.

With reference to the outcome variable, which action should the consultant take?

  • A. Create five bins of revenues, ranging from Very High Value, High Value, Average Value, Low Value, and Very Low Value in data prep.
  • B. Create five bins of revenues, ranging from Very High Value, High Value, Average Value, Low Value, and Very Low Value in dataflow.
  • C. Select to minimize the outcome variable.
  • D. Select the option: Are you expecting a whole number greater than or equal to 0?
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Suggested Answer: D 🗳️

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Nel_Capo
2 months, 2 weeks ago
Selected Answer: A
why D is wrong : Calculations often result in fractions. But certain predictions make sense only when expressed as whole numbers, say the number of orders per month or the number of customers entering a store. Display them as whole numbers using automatic rounding.
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Nel_Capo
2 months, 2 weeks ago
Selected Answer: A
useful to categorize customers into segments (or bins) based on the amount they have spent. By creating five bins ranging from "Very High Value" to "Very Low Value" in data preparation, you can better analyze and predict customer behavior based on their value segments. This binning process allows the model to differentiate between customers more effectively and can be used as an input feature in the predictive model.
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