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Pega Data Scientist
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Avg score: 31% • Most missed: “Predictive Analytics (Predictive Analytics and Modeling)”
Pega Data Scientist
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25 Questions

1. Predictive Model Markup Language (PMML)

2. Arrow

3. Overall Sentiment

4. Churn

5. Step 4. Model Analysis AUC

6. Overral Sentiment

7. Customer Engagement

8. Testing Monte Carlo Data Set

9. Step 3. Model Development Level of Predictive Grouping

10. Smoothing Formula

11. Simulation ID Prefix

12. Score Distribution Report

13. Decision Table

14. Data Analysis

15. Topic Detection Types

16. Balance Customer Need and Business Objective

17. 4-Model Analysis

18. Predictive Analytics

19. Adaptive Analytics

20. PMML supported models

21. Predictive Model Types

22. Monte Carlo Data Set Method

23. Predict Customer Needs

24. Model Types

25. Step 4. Model Analysis

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