Prediction Studio supports keyword-based topic detection, model-based topic detection and the combination of these. When using machine learning,
Answer : C
When using machine learning, the Must keywords function aspositive features.
To optimize their customer interactions, U+ Bank routes all emails that are complaints to a specialized department. To identify emails that voice a complaint, the text prediction uses___________
Answer : A
To identify emails that voice a complaint, the text prediction usesan entity extraction model.
U+ Telecom uses predictive analytics in its retention strategy. You have created a predictive model based on recent historical company data and have placed the new model in shadow mode. Which statement is true about the new predictive model?
Answer : C
The new model does not affect business outcomes Reference:
When you place a new predictive model in shadow mode, it does not affect business outcomes.
Which statement about Pega AI is correct?
Answer : D
Pega AI is primarily based on self-learning models Reference:
Pega AI is primarily based onself-learning models.
U+ Bank promotes credit card offers on its website and uses Pega Customer Decision Hub to personalize the offer for every customer. Now, the bank wants to lower the number of customers that leave the bank by showing a proactive retention offer to high churn risk customers instead. As an NBA analyst, you are tasked with creating a new applicability setting to comply with the new business rule. Which business issue or issues do you modify?
Answer : A
To comply with the new business rule of showing a proactive retention offer to high churn risk customers, you should modifythe Retention issue.
Results of two simulations can be compared using the___________.
Answer : C
TheProposition Distribution reportis used to compare the results of two simulations.
Which decision component allows you to use a third-party Credit Risk Model 80% of the time and a Pega Credit Risk Model 20%?
Answer : D
TheSwitchcomponent allows you to use a third-party Credit Risk Model 80% of the time and a Pega Credit Risk Model 20%.