Valuable PEGACPDS25V1 Exam Dumps (V8.02) with Real Q&As: Read PEGACPDS25V1 Free Dumps (Part 3, Q81-Q100) to Verify More About the Dumps

1. Which metric indicates the reliability of an adaptive model in export data?

2. Why would a data scientist monitor inactive predictors?

3. Which predictor analysis result may indicate data leakage?

4. Which method does the adaptive model use to learn from outcomes?

5. Which component is responsible for updating model coefficients in real time?

6. Why would a data scientist use a scorecard over a binary classifier?

7. Why would you export predictor history across time periods?

8. Which actions can a data scientist take when an adaptive model performs poorly? (Choose two)

9. Which layer is responsible for delivering actions through channels in the Customer Decision Hub architecture?

10. What does AUC indicate about a prediction model?

11. What can be analyzed from exported outcome performance data?

12. Which of the following may be reasons to export underperforming model data? (Choose two)

13. Which model behavior is described as "exploration"?

14. What is one reason to monitor the volume of active model instances?

15. What defines the learning source for a prediction?

16. What is the primary function of an adaptive model in Pega?

17. Which of the following are part of model performance indicators? (Choose two)

18. Which indicator helps decide if a model instance is suitable for decisioning?

19. Which steps are involved in deploying a prediction? (Choose two)

20. What are some common causes for poor model performance? (Choose two)