New PEGACPDS24V1 Dumps (V8.02) for Certified Pega Data Scientist ‘24 Exam Preparation: Read PEGACPDS24V1 Free Dumps (Part 1, Q1-Q40) First

1. The Prioritize component always outputs __________.

2. An Adaptive model component in a decision strategy can output ____________.

3. A data scientist and an application developer must configure a chatbot to improve customer service response time. The application developer created the digital messaging channel.

What is the next step for the data scientist?

4. A coffee company wants to create a data set that includes mock up customer address information and the likelihood to churn.

Which method is available to populate these fields?

5. What is entity extraction in NLP?

6. An application developer and a data scientist are working together on a chatbot project. They want the chatbot to detect that the customer wants to change the account home address.

To achieve this goal, the chatbot must:

- Detect the topic of the message

- Run the correct case type

- Extract 2 entities: new address and account number.

What main tasks must they do to achieve this business scenario? (Choose Three)

7. U+ Bank introduces a new credit card that has no historical customer behavior data. U+ Bank wants to offer this credit card on the personalized web portal.

Given the scenario, which rule type must you use?

8. As a data scientist, you want to export the model data and the predictor data for the Credit Cards group from the Grow business issue for further analysis. You are tasked to modify the data flow that selects the correct data. Match the data flow component to the function it achieves.

9. What is Adaptive Analytics?

10. You can use various data types in adaptive analytics. Some of these require preprocessing before being used as a potential predictor. Others can be used directly.

Which two data types require no preprocessing? (Choose Two)

11. U+ Bank wants to offer a 10% discount for customers whose CLV value is higher than 400.

Which strategy component should you use to meet the new requirement?

12. The purpose of regular inspection is to detect factors that negatively influence the performance of the adaptive models and the success rate of the actions.

Which two issues should be discussed with the business? (Choose Two)

13. What are the benefits of using Predictive Analytics?

14. You have created a predictive model using R and have exported it to Predictive Model Markup Language (PMML).

Which component in a decision strategy do you use to leverage the PMML model?

15. The purpose of predictions is to______________

16. What are two results of an Adaptive Model? (Choose Two)

17. U+ Bank, a retail bank, recently implemented a project in which credit card offers are presented to qualified customers when they log in to the web self-service portal. The bank does not want any bias except to satisfy the eligibility condition Age >=18.

As a decisioning consultant, how do you configure the ethical bias policy to allow a minimum bias on age?

18. What happens when you increase the performance threshold setting of an Adaptive Model rule?

19. With the open-source GitHub repository Pega Data Scientist Tools, you can ______________.

20. Which of the following is NOT a benefit of using Pega Process AI?

21. Adaptive models can learn without historical evidence.

What is the starting propensity of every action?

22. What is data cleansing in Predictive Analytics?

23. 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.

In Pega Customer Decision Hub™, what does the Clicked response label signify in this context?

24. What is provided as input to a predictive model component by the strategy?

25. Which decision component allows you to monitor the real-time performance of a third- party Churn Model?

26. The Adaptive Model component in a strategy computes __________.

27. Drag and drop the answer to complete the sentence.

28. Which of the following is NOT a use case for Pega Process AI?

29. Pega Customer Decision Hub™ uses the P*C*V*L arbitration formula to select the next best action for each customer.

Which description best describes the purpose of the formula?

30. Why is leaving the default settings of an adaptive model unchanged important?

31. Which of the following is a technique used in NLP for text classification?

32. What is predictor importance in the context of machine learning?

33. As a Data Scientist you want to use a predictive model to detect potential churn for a telco company.

Which three options do you have? (Choose Three)

34. What is the importance of data normalization in Predictive Analytics?

35. What is the purpose of the Combiner function in the scorecard?

36. The objective of Pega Process AI™ is to interpret the incoming data and then decide on the best action to take.

In which two ways can you better analyze the incoming data? (Choose Two)

37. In a decision strategy, which component is required to enable access to primary customer properties?

38. In the delta view in Visual Business Director, what does the red colored cone indicate?

39. An online store is interested in increasing its revenues from cross-selling and wants to predict the acceptance rate of the offers presented on their website.

A customer's propensity to accept an offer increases when ___________________.

40. Creating predictive models Using Prediction Studio to build Pega machine learning models on historical data, you can build two types of models: ____________ and ____________. (Choose Two)