Question 1

Using Prediction Studio to build Pega machine learning models on historical data, you can build two types of models:____________and____________. (Choose Two)

Options :

A : voice to text model

B : continuous models

C : binary models

D : adaptive models

Answer: C,D

Question 2

When implementing Next-Best-Action, the Customer Lifetime Value Threshold is typically used to_________.

Options :

A : prioritize high value propositions

B : prioritize customers

C : determine if the customer is eligible

D : calculate the customer-s lifetime value

Answer: B

Question 3

U+ Bank introduces a new credit card that has no historical customer behavior data. U+ Bank wants to offer this credit card on the personalized web portal. Given the scenario, which rule type must you use?

Options :

A : Decision table

B : When rule

C : Adaptive model

D : Pega machine learning model

Answer: C

Question 4

Evidence an assessment of its viability, the Adaptive Model produces three outputs: Propensity, Performance and what is evidence in the context of an Adaptive Model? Performance and what is evidence in the context of an Adaptive Model?

Options :

A : The likelihood of a statistically similar behavior

B : The number of customers who exhibited statistically similar behavior

C : The number of customers who have responded to the modeled offer

D : The number of statistical bins used to evaluate the response

Answer: B

Question 5

When building a predictive model, the use of testing and validation samples_______________

Options :

A : increases the accuracy of models

B : enables model validation in strategies

C : is mandatory for segmentation

D : validates the quality of input data

Answer: A