Question 1
(Topic 1)
By creating parameterized predictors, you can incorporate input fields that are not directly available in the customer data model into adaptive models, such as expressions, offline model scores, and online model scores. This approach enhances the ability of the adaptive models to make more informed predictions by using a broader range of predictors. What is the primary purpose of creating parameterized predictors based on expressions in the context of enhancing adaptive models in Pega Customer Decision Hub? Reveal Solution Hide Solution Discussion Correct Answer: A 🗳️
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- ○ To enable adaptive models to incorporate derived metrics.
- ○ To replace the need for traditional data preprocessing methods.
- ○ To directly increase the credit score of the customer based on webpage visit frequencies.
- ○ To provide real-time customer feedback directly into the adaptive models.
