Check the PEGACPDS24V1 Free Dumps (Part 2, Q41-Q70) Online: Verify the PEGACPDS24V1 Dumps (V8.02) and Prepare for Your Certified Pega Data Scientist ‘24 Exam

1. What is the importance of data quality in Adaptive Analytics?

2. When executing a decision strategy, the dotted line arrow in a decision strategy means data is __________.

3. A company wants to capture the sentiment of relevant Twitter messages to allow its customer service representatives to concentrate only on the negative messages.

Sentiment refers to the general attitude of the author towards a subject and can be ____________.

4. Which property is automatically recomputed for each decision component?

5. Drag the correct response to the blank space to complete the sentence.

6. To enable an assessment of its reliability the adaptive model produces four outputs: propensity, performance, evidence and positives. The Performance of an adaptive model that has not collected any evidence yet is______.

7. U+ Bank, a retail bank, offers the Standard card, the Rewards card and the Rewards Plus card to its customers. The bank wants to display the banner for the offer that each customer is most likely to click; therefore, their Arbitration uses Propensity from the AI models.

If you are debugging the Next-BestAction decision strategy, which strategy component will show you if the result of the Arbitration is correct?

8. In a Prioritize component, the best action can be determined based on the value of __________.

9. To implement eligibility criteria you can use a ____________ component.

10. In m decision strategy, in order to select the proposition with the highest propensity, you use a __________.

11. U+ Telecom uses predictive analytics for case management. As a data scientist, 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?

12. U+ Air recently enabled a chatbot on its website to interact with customers. The airline asked a data scientist to configure the chatbot to recognize all ticket number patterns that the airline uses. The company wants the chatbot to be resistant to human error and detect also unusual ticket numbers.

Which combination of entity extraction methods can the data scientist implement to achieve this business requirement? (Choose Two)

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

14. In Pega Customer Decision Hub™, adaptive models calculate propensities that support the optimization of customer interactions.

How does the system support explanations of the factors that drive a single propensity calculation?

15. U+ Bank presents a personalized credit card offer to its customers when they log in to their accounts on the website. The Predict Web Propensity prediction calculates the likelihood of a customer clicking on the credit card offer banner.

16. In a decision strategy, which component is required to enable access to proposition properties?

17. What is ensemble learning in Predictive Analytics?

18. A large online store wants to adapt to changing customer behavior but does not want to be distracted by fads. Adaptive models can help accomplish both business objectives.

Which statement about adaptive models is correct?

19. What is Pega Process AI?

20. When selecting the list of predictors for an adaptive model you should

21. What is the difference between classification and regression in Predictive Analytics?

22. 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?

23. U+ Bank relies on a text prediction to route incoming emails to the correct department.

To detect an account number in the text, the text prediction uses ____________.

24. What is the role of an IT steering committee?

25. With which component in Next-Best-Action Designer can you define the business structure for your organization by grouping actions into categories such as "Acquire" and "Grow"?

26. Which of the following is NOT a use case for NLP in Pega?

27. The output of a predictive model is accessible by other components in the strategy via a property called ____________

28. 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?

29. As a decisioning consultant, you are tasked with configuring the ethical bias policy.

Which context do you need to select to add bias fields?

30. Who configures the outbound schedule, updates strategy logic, and optimizes customer interactions across all channels in a Pega Customer Decision Hub™ implementation?