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You can use various data types in adaptive analytics. Some of these require preprocessing before being used as a potential predictor. Others can be used directly. Which two data types require no preprocessing? (Choose Two)
Answer : B, E
Dates with absolute time/date values, such as birthdays and Numeric data such as customer age and income Reference:
Dates with absolute time/date values, such as birthdaysandNumeric data such as customer age and incomerequire no preprocessing before being used as potential predictors in adaptive analytics.
Configuring an adaptive model involves selecting the potential predictors. How many potential predictors are recommended for an adaptive model?
Answer : D
Up to 100 fields to limit the impact on model speed Reference:
When configuring an adaptive model, it is recommended to select up to100 potential predictorsto limit the impact on model speed.
To configure an adaptive model, the responses that indicate specific customer behavior must be identified. What types of behavior need to be identified?
Answer : A
Positive and negative behavior Reference:
To configure an adaptive model, you must identifypositive and negative behaviorthat indicate specific customer behavior.
It is highly recommended to leave the default settings of an adaptive model inchanged. Why is it important to follow this guideline?
Answer : B
As a highly experienced data scientist, which two advanced settings are available to you? (Choose Two)
Answer : D, E
Predictor selection and The update frequency of the models Reference:
As a highly experienced data scientist, you have access to advanced settings such aspredictor selectionandthe update frequency of the models.
