Pega Certified Decisioning Consultant PEGACPDC74V1 Exam Dumps

PEGACPDC74V1 Pega Certified Decisioning Consultant certification is for Pega professionals who want to have the skills and knowledge to successfully design and develop Pega Customer Decision Hub™ related artifacts. To pass PEGACPDC74V1 exam, you can choose to get DumpsBase Pega Certified Decisioning Consultant PEGACPDC74V1 Exam Dumps. We ensure that you can pass Pega Certified Decisioning Consultant certification exam in the first try.

Free PEGACPDC74V1 Exam Questions And Answers Online

1. Results of two simulations can be compared using the ______________.

 
 
 
 

2. Which of the following is a dimension in Visual Business Director?

 
 
 
 

3. Which is a Key Performance Indicator?

 
 
 
 

4. Visual Business Director can be used to _____________.

 
 
 
 

5. Which metric is used in the Proposition Distribution report?

 
 
 
 

6. To build a predictive model, use ____________.

 
 
 
 

7. Next-Best-Action maximizes the customer lifetime value by _____________.

 
 
 
 

8. The implementation of Next-Best-Action must involve ______________.

 
 
 
 

9. What is the key characteristic that Next-Best-Action must consider to satisfy customer needs?

 
 
 
 

10. Which business issue is the least suitable for Next-Best-Action?

 
 
 
 

11. Business rules that determine if a customer is eligible for a particular proposition are also known as ___________.

 
 
 
 

12. One of the flow shapes which allows seamless integration of Pega Decision Management with Pega Business Process Management is ____________.

 
 
 
 

13. To which types of decisions can Decision Management be applied?

 
 
 
 

14. Which decision component is used to arbitrate between propositions?

 
 
 
 

15. In a prioritization expression, to balance the customer needs and business objectives you adjust ____________.

 
 
 
 

16. The Next-Best-Action strategies must be _____________.

 
 
 
 

17. Which decision component is used to implement hard rules?

 
 
 
 

18. The Predictive Model Markup Language (PMML) allows for predictive models to ___________.

 
 
 
 

19. When compared to a Predictive Model, an Adaptive Model is different as it ___________.

 
 
 
 

20. What is the difference between predictive and adaptive analytics?

 
 
 
 

21. The likelihood that a proposition will be accepted by the customer is stored in the strategy property called _______________.

 
 
 
 

22. Two results of an adaptive model are ____________.

 
 
 
 

23. Predictive Analytics is a ______________.

 
 
 
 

24. The mapping of the input fields of a third-party predictive model is done in the ______________.

 
 
 
 

25. What format is used to express PMML?

 
 
 
 

26. The performance of an Adaptive Model that has not collected any evidence is ____________.

 
 
 
 

27. Which of the following is a good candidate for a predictor in a Scoring Model?

 
 
 
 

28. What is Predictive Model Markup Language (PMML)?

 
 
 
 

29. When configuring an Adaptive Model, the property type Integer is automatically translated to which predictor type?

 
 
 
 

30. Pega Adaptive Models ____________.

 
 
 
 

31. Which value is output by an Adaptive Model?

 
 
 
 

32. The Adaptive Model output that is automatically mapped to a strategy property is _____________.

 
 
 
 

33. When building a predictive model, the use of testing and validation samples ______________.

 
 
 
 

34. The Adaptive Model instance is created when you ___________.

 
 
 
 

35. What is the most accurate description of proactive retention? Proactive Retention _____________.

 
 
 
 

36. Proactive retention is applicable when a customer is _____________.

 
 
 
 

37. The action a selling organization undertakes to reduce customer defections is also known as _____________.

 
 
 
 

38. When building a predictive model, at what stage do you compare the performance of predictive models?

 
 
 
 

39. When building a predictive model, the Data Analysis stage is where you ____________.

 
 
 
 

40. In an Adaptive Model rule, what is a valid predictor data type?

 
 
 
 

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