PEGACPDS88V1 CPDS Version 8.8 Certification Exam Online Questions

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PEGACPDS88V1 exam is a related test for CPDS Version 8.8 certification, which is for data scientists who wish to acquaint themselves with the skills and knowledge needed to successfully apply AI in Pega Process AI, Pega Customer Decision Hub, and Pega Customer Service. There are 50 questions in real Pegasystems PEGACPDS88V1 exam, and you have 90 minutes to answer all the questions. The required passing score for PEGACPDS88V1 exam is 70%. We provide CPDS Version 8.8 Certification PEGACPDS88V1 exam online questions, which can help you test all the related topics. Free CPDS Version 8.8 Certification PEGACPDS88V1 exam questions are below.

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1. A Scoring Model allows you to differentiate between

Accept, Reject, Maybe Later

Good, Bad

Good, Better, Best

Good, Bad, Unknown

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)

The value of only the active predictors

The outcome of the interaction

The model metadata

The propensity generated by the model

The value of all predictors

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

Predictive models can predict a continuous value.

Predictive models predict customer behavior.

Adaptive models use the customer data as predict*

Predictive models have evidence.

4. The outcome of a scoring model indicates the likely

write-off value of an arrears case

claim value of a health insurance

period in which a spare part has to be replaced

response to an offer

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__________

the business operations environment

an external environment

the production environment

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

Predictive models always outperform human experts.

Humans are better at dealing with structured data and identifying patterns.

Predictive models are more capable of detecting patterns in historical data.

Humans make successful predictions on a large amount of data.

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?

Response timeout

Adaptive model

Predictor fields

Control group

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?

Case management_____

Customer Decision Hub

Text analytics

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

one Set Property component

one Group By component

four Group By components

four Set Property components

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

What is evidence in the context of an adaptive model?

The likelihood of a statistically similar behavior

The number of customers who exhibited statistically similar behavior

The number of statistical bins that arc generated by the system

The number of outcomes that system registered

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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?

product eligibility rules

customer contact rules

product compatibility rules

business levers

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

Symbolic

Integer

Page Type

Logical

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_________.

Similar offers were rejected by the customer

The offer was rejected by similar customers

Similar offers were accepted by the customer

The offer was accepted by similar customers

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

Define Issue and Group hierarchy

Define propositions

Define business rules

Define prioritization formula

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?

Create a predictive model.

Add a decision step to the case type.

Configure an adaptive model to drive the prediction.

Create a prediction.

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

Actions from all groups under the "Retention" issue

Actions from "X-Sell" group

Actions from the "Sales" issue

All active actions

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?

The Retention issue

The Sales issue

The Sales issue and the Retention issue

No modification is required

18. Which statement about predictive models is true?

Predictive models need historical data to be created

Predictive models need to be specified in a data attribute

Predictive models are always associated with an action

Predictive models need unstructured bie data

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

How many potential predictors are recommended for an adaptive model?

At least 100 fields to reach an acceptable level of model performance

All fields that have been predictive in the past

All available uncorrected fields

Up to 100 fields to limit the impact on model speed

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?

pxEvidence

pxResult

pxSegment

nxOutcome

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21. The purpose of predictions is to______________

build adaptive models

monitor the success rate of individual actions

add best data scientist practices to adaptive models

add predictors to adaptive models

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

Model Development stage

Model Analysis stage

Model Export stage

Model Comparison stage

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

create data samples

select the input data

group predictors

determine the output field

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?

Predictive model

Adaptive model

Text categorization model

Text extraction model

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?

Group By

Filter

Set Property

Prioritize

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

Outcomes

Predictor types

The parameters used to bin the responses

Predictor selection

The update frequency of the models

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

Scorecard Model

Adaptive Model

PMML Model

Predictive Model

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

Perform better

Be easily shared between applications

Use the same modeling process

Be developed faster

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%?

Filter

Champion Challenger

Adaptive Model

Switch

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

What types of behavior need to be identified?

Positive and negative behavior

Any behavior

Positive behavior only

Positive, neutral, and negative behavior

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

prioritize high value propositions

prioritize customers

determine if the customer is eligible

calculate the customer's lifetime value

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?

A list of business rules

The output of an expert survey

A sentiment analysis model

A list of valid categories

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___________

An entity extraction model

a topic model

a language model

a sentiment model

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?

Adaptive prediction

Case management

Customer Decision Hub

Text analysis

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?

Suit the use case

Optimize the success rate

Increase lift

Limit the number of responses

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

When using machine learning,

keywords have a higher impact on the model than the training data

the Must keywords are required to detect the topic

the Must keywords function as positive features

the keywords are ignored

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

The number of active predictors increases

The performance of the model is increased

The correlation threshold decreases

The number of active predictors may decrease

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_________.

1-0

null

0.5

0.0

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?

Create the prediction

Create the customer data model

Create a placeholder scorecard to drive the prediction

Create the predictive model that drives the prediction

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

Property

Rank

Order

Priority

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

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

Determining how to optimize the product portfolio to increase market share

Determining why response rates for a campaign in one region are below average

Determining the cause of a customer's problem

Determining which banner to show on a web site to increase click rate

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?

Pega Customer Decision Hub™ prediction.

Sentiment detection does not require any predictions.

Case management prediction.

Text analytics prediction.

PEGACPDS88V1 CPDS Version 8.8 Certification Exam Online Questions

PEGACPDS88V1 CPDS Version 8.8 Certification Exam Online Questions

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