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1. What does the model performance indicator in Prediction Studio represent?

2. Which of the following are typical predictors in an adaptive model? (Choose two)

3. What does the "Performance Threshold" setting affect in adaptive model monitoring?

4. What does the “Engagement Policy” in NBA Designer consist of? (Choose two)

5. Which components can be exported to evaluate feature contribution over time? (Choose two)

6. Which metric provides insight into the number of learning events per outcome?

7. What role do predictor performance graphs serve in Prediction Studio?

8. Which external tools are commonly used with exported adaptive model data? (Choose two)

9. Why might an organization schedule recurring exports of adaptive model data?

10. Which strategy component is used to filter out ineligible actions?

11. Which of the following are key capabilities of the Customer Decision Hub? (Choose two)

12. Which tool can be used post-export to visualize trends in model evidence?

13. What is the first step in creating a prediction in Pega Prediction Studio?

14. What does "active" predictor mean in model monitoring?

15. Which of the following are common types of data included in an adaptive model export? (Choose two)

16. Which of the following can improve the accuracy of a predictive model? (Choose two)

17. What determines whether a predictor is considered “active” in an adaptive model?

18. Which component can you use to integrate a prediction into a strategy?

19. What is the role of the “context key” in an adaptive model?

20. Which format is typically used for exporting adaptive model data in Pega?

21. How does the system ensure continuous model improvement?

22. Which entities are evaluated during arbitration in a typical NBA strategy? (Choose two)

23. What happens when a predictor has a low performance contribution?

24. Why are multiple models created for a single adaptive model rule in practice?

25. In the 1:1 Customer Engagement paradigm, what role does the Next-Best-Action Designer play?

26. Why would a data scientist choose a binary classifier over a scorecard?

27. Which tool is primarily used to monitor adaptive model performance?

28. What does predictor strength in exported data represent?

29. What does a low confidence value for an adaptive model instance suggest?

30. What is a best practice when exporting adaptive model data for regulatory review?

31. What does the “Propensity” value represent in Customer Decision Hub?

32. What is a key reason to use engagement policies?

33. What is the first step in the Customer Decision Hub decisioning process?

34. Where are predictions used within Customer Decision Hub?

35. What is the benefit of exporting predictor performance data?

36. What is the function of the NBA Strategy Framework?

37. What are the required inputs for creating an adaptive model rule? (Choose two)

38. Which components are configured in a binary prediction? (Choose two)

39. Which of the following prediction types are supported by Pega? (Choose two)

40. How does exported model data help improve predictor selection?