Top-Quality PEGACPDS88V1 Exam Dumps (V9.03) – Best Guide for Certified Pega Data Scientist 8.8 Exam Learning

1. A Scoring Model allows you to differentiate between

2. As a data scientist, you have enabled capturing of historical data in an adaptive model.

Which two data elements are captured for every customer interaction? (Choose Two)

3. What is the difference between predictive and adaptive analytics?

4. The outcome of a scoring model indicates the likely

5. The standardized machine learning process (MLOps) lets you replace a low-performing predictive model that drives a prediction with an updated model. When you approve the model, a change request is automatically generated in__________

6. What is the key difference between a predictive model and a human expert?

7. As a data scientist, you are tasked with configuring two predictions that are driven by an adaptive model: one for an inbound channel and one for an outbound channel.

To which setting do you need to pay extra attention?

8. U+ Telecom wants to engage in proactive retention to reduce churn. As a data scientist, you create a prediction that calculates the probability that a client is likely to cancel a subscription.

What type of prediction do you create?

9. Which component(s) do you use to calculate the average margin of four actions?

10. An adaptive adaptive model component in a decision: propensity, performance, evidence, and positives.

What is evidence in the context of an adaptive model?

11. You are the Decisioning Consultant on an Al-powered one-to-one Customer Engagement implementation project. You are asked to design the Next-Best-Action prioritization expression that balances the customer needs with the business objectives.

What factors do you consider in the prioritization expression?

12. What type of a predictor can you use in an adaptive model?

13. 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_________.

14. When implementing a Next-Best-Action project, which step is recommended to be taken first?

15. U+ Insurance uses Pega Process AI™ to assess the complexity of the claims and route a claim to the best-suited user. In the case type that handles claims, the application developer wants to use AI to route claims that are likely to miss their deadline to an expert. As a data scientist, what task do you first perform to allow the application developer to reference the AI output in the case type?

16. In a strategy defined in the "Retension" issue and the "X-Sell" group, you can import________

17. 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?

18. Which statement about predictive models is true?

19. Configuring an adaptive model involves selecting the potential predictors.

How many potential predictors are recommended for an adaptive model?

20. When you build a decision strategy, what property do you use to access the output of a prediction that is driven by a predictive model markup language (PMML) model?

21. The purpose of predictions is to______________

22. When building a predictive model, at what stage do you compare the performance of predictive models?

23. When building a predictive model, the Data Analysis stage is where you

24. A telecom company is interested in improving customer engagement on social media. However, there are hundreds of relevant messages posted every day, and it is not practical for customer service representatives (CSRs) to review and respond to all messages. Instead, CSRs should focus on negative messages.

What do you need to analyze the incoming messages?

25. 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?

26. As a highly experienced data scientist, which two advanced settings are available to you? (Choose Two)

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

28. The Predictive Model Markup Language (PMML) allows for predictive models to

29. Which decision component allows you to use a third-party Credit Risk Model 80% of the time and a Pega Credit Risk Model 20%?

30. To configure an adaptive model, the responses that indicate specific customer behavior must be identified.

What types of behavior need to be identified?

31. When implementing Next-Best-Action, the Customer Lifetime Value Threshold is typically used to_________.

32. A legal firm wants to use text analytics for easier and faster access to information to helo with compliance related issues. The legal firm needs a taxonomy of legal concepts.

What is a taxonomy?

33. To optimize their customer interactions, U+ Bank routes all emails that are complaints to a specialized department. To identify emails that voice a complaint, the text prediction uses___________

34. As a data scientist, you are asked to create a prediction to optimize the click-through rate of a web banner.

What type of prediction do you need to create in Prediction studio?

35. Predictions combine predictive analytics and best practices in data science. As a data scientist, what is a valid reason to adjust the default response timeout in a prediction?

36. Prediction Studio supports keyword-based topic detection, model-based topic detection and the combination of these.

When using machine learning,

37. What happens when you increase the performance threshold setting of an adaptive model rule?

38. To enable an assessment of its reliability, the Adaptive Model produces three outputs: Propensity, Performance and Evidence. The performance of an Adaptive Model that has not collected any evidence is_________.

39. As a data scientist, you are tasked with creating a new prediction that estimates a customers' likelihood to leave the business in the near future. The NBA analyst wants to move forward and use the prediction in Pega Customer Decision Hub™ to test the application.

To unblock the NBA specialist, which task do you prioritize?

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

41. Pega Decision Management enables organizations to make next-best-action decisions.

To which types of decisions can next-best-action be applied?

42. The management team at U+ Insurance wants to improve the experience of dissatisfied customers. The customers send the feedback through email.

To detect the sentiment of the incoming emails, which type of prediction do you need to configure in Prediction Studio?

43. In a decision strategy, to remove propositions based on the current month, you use a

44. The result of a Predictive Model is stored in a property called__________.

45. Which value is output by an Adaptive Model?

46. Proactive retention is applicable when a customer is

47. Adaptive model components can output__________

48. U+ Insurance uses Pega Process AI™ to route complex claims to an expert. As a data scientist, you have used the wizard to create a prediction with Case completion as the outcome to help with decision routing. You are tasked with monitoring the adaptive models.

When you open the monitoring tab of the adaptive model rule, you see the following chart:

In this scenario, the system creates an adaptive model for each

49. Which statement about the PMML standard is correct?

50. The standardized model operations process (MLOps) lets you replace a low-performing predictive model that drives a prediction with a superior one.

When you place the new model in shadow mode in the production environment, the current model___________