A customer has a dataset consisting of over 300 unique product names. They request a prediction model with the product names included. Which action should the Einstein Consultant take?
A.
Adjust the model to eliminate extreme values in the outcome variable.
B.
Use SKU numbers rather than product names to increase clarity.
C.
Split the analysis into multiple models with each having fewer products.
D.
Run the model using the default variables in the Product object.
Splitting the analysis into multiple models with each having fewer products could make the prediction model more manageable and potentially improve its performance
Add one high cardinality variable, with a maximum of 200 unique values, to a model. Enable Allow high cardinality for {field name}.
-to me this means we can not create a model with a field with 300 unique values
C is the correct answer!
https://help.salesforce.com/s/articleView?id=sf.bi_edd_data_alert_cardinality.htm&type=5
"Limit the number of unique values by clicking the variable’s Settings tab and deselecting the values to exclude."
Therefore, the right question should be A, no C, right?
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