PEGACPDS24V1 Online Dumps Boost Your Career

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July 18, 2025

The PEGACPDS24V1 Certified Pega Data Scientist certification exam is challenging, and it's natural to feel anxious and nervous before taking the exam. Practicing with PEGACPDS24V1 dumps questions can help alleviate this anxiety by boosting your confidence. As you practice and become more familiar with the exam format and content, you'll feel more confident in your abilities, which can help you perform better on the actual PEGACPDS24V1 exam. Practicing with PEGACPDS24V1 questions can increase your chances of success in the certification exam. Practice free Pegasystems PEGACPDS24V1 exam dumps below.

Page 1 of 6

1. With the standardized model operations process (MLOps), you can replace a low-performing predictive model that drives a prediction with an updated model.

When you approve the model, the system automatically generates a change request in _________.

the development environment

the production environment

an external environment

the business operations environment

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

Using the default settings is based on best practices.

Changing the settings is not a task for a data scientist.

Changing the settings does not effect on model performance.

Adaptive Decision Manager adjusts the settings automatically adjusted during adaptive learning.

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 ____________.

Defensive

Absent

Offensive

Positive

4. The Pega Customer Decision Hub delivers the Next-Best-Action consistently through multiple channels.

To which channel does this apply?

Newspaper

Mobile

Television

Billboard

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

Classification is used for predicting continuous outcomes, while regression is used for predicting categorical outcomes

Classification is used for predicting categorical outcomes, while regression is used for predicting continuous outcomes

Classification and regression are the same thing

Neither classification nor regression are used in Predictive Analytics

6. Which of these belong to the same group as the Prioritize component?

Proposition

Data Join

Arbitration

Filter

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

copied to the component the arrow points to

referenced by the component the arrow points to

referenced by the component the arrow originates from

copied to the component the arrow originates from

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

What is a taxonomy?

A list of valid categories

A sentiment analysis model

The output of an expert survey

A list of business rules

9. Model transparency is an important requirement for many businesses. In Prediction Studio, you set model transparency thresholds for ________________.

a model type

a model

a business issue

a department

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

The number of active predictors increases.

The correlation threshold decreases.

The performance of the model is increased.

The number of active predictors may decrease.

Page 2 of 6

11. 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)

Event stream data, such as recent transactions

Symbolic data with up to 200 distinct values, such as products bought previously

Text data such as Twitter messages

Dates with absolute time/date values, such as birthdays

Numeric data such as customer age and income

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

Customer, Value

Propensity

Average Margin

Customer.Income

13. You enable the capture of historical data in an adaptive model.

Which two data elements does the system capture for every customer interaction? (Choose Two)

The value of all predictors.

The value of only the active predictors.

The model metadata.

The propensity the model generates.

The outcome of the interaction.

14. How can the effectiveness of Adaptive Analytics models be measured?

By comparing model predictions to actual outcomes

By running the model on more data

By adjusting the model parameters

By only measuring accuracy at the beginning of the project

15. 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

Prioritize

Filter

Set property

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

Service

Fraud

Mobility

Relevancy

17. A large online store wants to adapt to changing customer behavior, and at the same time does not want to get earned away by every next hype in the market. Adaptive models can help accomplish both business objectives.

Which statement about adaptive models is correct?

Adaptive models perform a spectrum model calculation.

Adaptive models perform a scoring model calculation.

Adaptive models require underlying predictive models.

Adaptive models are regression models.

18. What is reinforcement learning in Adaptive Analytics?

A machine learning technique that involves training a model on a large amount of data

A technique for improving the accuracy of existing machine learning models

A technique for learning from feedback and adjusting decision-making processes in real-time

A technique for detecting anomalies in data

19. 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?

0.7 Gini

0.1 Gini

No detection

0 Gini

20. What is time series analysis?

A statistical technique for analyzing cross-sectional data

A statistical technique for analyzing longitudinal data

A statistical technique for analyzing time-dependent data

A statistical technique for analyzing categorical data

Page 3 of 6

21. In a decision strategy, what does a dotted line from a Group By component to a Filter component indicate?

Information from the Group By component is copied over to the Filter component.

There is a one-to-one relationship between the Group By and the Filter components.

The Filter component references a property from Group By component.

Evaluate the Filter component first to evaluate the Group By component.

22. The process of importing a third-party predictive model into Pega is_____________?

to first convert it into the Pega markup language

similar to importing an adaptive model

the; same as importing a Pega predictive model

simpler than importing a Pega predictive model

23. The Prediction Studio portal supports the creation of two distinct types of predictive Scoring models are used to__________________.

score different propositions

predict binary behavior

predict continuous behavior

differentiate between good, better and best

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

select up to a maximum of 500 predictors

select at least one date property

always use numeric type for integer properties

consider a wide range of properties

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

SVM (Support Vector Machines)

K-Means

Random Forest

Naive Bayes

26. Adaptive model strategy components can output ____________.

the number of customers eligible for an action

an optimized strategy

the customer's propensity to accept an action

an action

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

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

Increased efficiency and productivity

Improved customer satisfaction

Reduced costs

Enhanced data security

29. To configure an adaptive model, you identify the responses that indicate specific customer behavior.

What types of behavior do you specify?

Positive behavior only

Any behavior

Positive and negative behavior

Positive, neutral, and negative behavior

30. 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.

The offer is displayed again with a different design.

The customer's account is locked.

The system automatically accepts the offer on behalf of the customer.

Pega Customer Decision Hub™ records a NoResponse outcome is recorded.

Page 4 of 6

31. What types of analyses occur at the high level of natural language processing (NLP)? (Choose Three)

Casual analysis

Syntactic analysis

Linguistic analysis

Exploratory analysis

Semantic analysis

Inferential analysis

32. What is the role of a compliance officer?

To manage an organization's compliance with financial regulations

To manage an organization's compliance with environmental regulations

To manage an organization's compliance with legal and regulatory obligations

To manage an organization's compliance with customer needs

33. 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?

Group By

Set Property

Prioritize

Filter

34. In a decision strategy, to import actions you use a(n) _____________________.

Offer data component

Data import component

Proposition data component

Import data component

35. What is Pega Process AI?

A process automation tool

An AI-powered tool for process optimization and automation

A machine learning tool for predicting process outcomes

A tool for monitoring process performance

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

Priorities component, and sort propensity from highest to lowest

Priorities component, and sort propensity from lowest to highest

Switch component, and sort propensity from lowest to highest

Switch component, and sort propensity from highest to lowest

37. U+ Insurance wants to predict successful completion of car insurance claims but has no historical data.

Which rule type do you use in this scenario?

Adaptive model

PMML model

Decision table

When rule

38. What are association rules in data mining?

Rules that describe the relationships between variables in a dataset

Rules that describe the relationships between transactions in a dataset

Rules that describe the relationships between features in a dataset

Rules that describe the relationships between models in a dataset

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 ___________________.

similar offers were rejected by the customer

similar offers were accepted by the customer

the offer was rejected by similar customers

the offer was accepted by similar customers

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

It ensures accurate and reliable insights

It speeds up the data analysis process

It makes it easier to implement machine learning algorithms

It allows for more complex data visualizations

Page 5 of 6

41. 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?

Adaptive model

Pega machine learning model

When rule

Decision table

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

Sentiment analysis

Text classification

Speech recognition

Entity extraction

43. Which statement about the PMML standard is correct?

The PMML standard facilitates the exchange of scores between applications.

The PMML standard is a proprietary standard.

The PMML standard facilitates the exchange of models between applications.

You can only use the PMML standard to describe tree, scorecard, and regression models.

44. The use of an imported third-party model in a decision strategy is____

Only possible after conversion into a Pega machine learning model

Only possible after conversion into Pega markup language

Identical to the use of an adaptive model

Similar to the use of a model built with Pega machine learning

45. To confirm the continuing accuracy of your adaptive models, adaptive models must be regularly inspected.

Which two tasks are part of a regular inspection? (Choose Two)

Adjust the advanced settings.

Check the performance of individual predictors.

Check the performance and success rate of the models.

Update the models.

Add the historical data collected since the last inspection.

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

Fraud detection and prevention

Customer service automation

Sales forecasting and analysis

Supply chain optimization

47. 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?

The active model and the new model affect business outcomes.

The new model affects business outcomes.

The new model does not affect business outcomes.

The active model does not affect business outcomes.

48. What is the primary purpose of the Engagement Policy component in Next-Best-Action Designer?

To implement contact limits and constraints.

To determine when and where the next best actions initiate.

To configure the prioritization of actions.

To define rules for which actions customers qualify for.

49. Which rule is used to upload a Predictive Modeling Markup Language (PMML) file that contains a Tree model type?

Scorecard

Decision tree

Predictive model

Third-party Model

50. The goal of entity extraction is to interpret the incoming data and detect the necessary entity.

Which two methods can you use to achieve this business outcome? (Choose Two)

Ruta script

Topic detection

Machine learning

Keywords

Page 6 of 6

51. 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)

adaptive models

continuous models

binary models

voice to text model

52. 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)

Event processing

Predictive analytics

Text analytics

Decision strategies

Business rules

53. A company wants to capture the sentiment of messages to allow its customer service representatives to focus on only the negative messages. Sentiment refers to the general attitude of the author towards a subject and can be _______________.

absent

offensive

negative

defensive

54. Adaptive model predictors are selected from the____________.

customer profile

communication channel

similar propositions

proposition profile

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