Pegasystems New 2024 PEGACPDS88V1 Sample Questions Reliable PEGACPDS88V1 Test Engine [Q53-Q67]

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Pegasystems New 2024 PEGACPDS88V1 Sample Questions Reliable PEGACPDS88V1 Test Engine

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The PEGACPDS88V1 exam is a certification exam for individuals aspiring to be certified Pega Data Scientists. PEGACPDS88V1 exam is offered by Pegasystems, a leader in enterprise software solutions that help organizations streamline their operations and improve their customer engagement. PEGACPDS88V1 exam is designed to test the knowledge and skills of the candidates in the domain of data science and its application in the Pega platform.

Q53. U+ Insurance uses Pega Process AI and wants straight-through processing of claims with a low fraud risk.
As a data scientist, you create a prediction that calculates the probability that a claim is fraudulent.
What type of prediction do you create to meet this requirement?

A case management prediction.

A text analytics prediction.

A Customer Decision Hub prediction.

A fraud detection prediction

Explanation
to create a prediction that calculates the probability that a claim is fraudulent, you need to create a case management prediction. This type of prediction allows you to use predictive models built on external platforms such as H2O.ai and apply them to case types in Pega Process AI. You can then use the prediction outcome in a decision step to route claims based on their fraud risk.
https://academy.pega.com/challenge/creating-fraud-prediction/v3

Q54. Adaptive model predictors are selected from the____________.

communication channel

similar propositions

customer profile

proposition profile

Explanation
Adaptive model predictors are selected from the customer profile, which contains information about the customer’s attributes and behavior. Predictors can be either scalar or aggregate properties that capture customer context, such as channel, location, time, etc. References:
https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data-archived/topic/configuring

Q55. The P*C*V*L arbitration formula is used by the Customer Decision Hub to select the Next-Best-Action for each customer. Which factor in the arbitration formula is calculated using AI?

Business levers

Action value

Context weighing

Propensity

Explanation
Propensity Reference:
The PCV*L arbitration formula used by the Customer Decision Hub to select the Next-Best-Action for each customer calculates propensity using AI.

Q56. 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

Explanation
When capturing historical data in an adaptive model, the outcome of the interaction and the value of all predictors are captured for every customer interaction.

Q57. Which property is automatically recomputed for each decision component?

Property

Rank

Order

Priority

Explanation
The rank property is automatically recomputed for each decision component. It indicates the order in which the actions are presented to the customer, based on their priority and propensity. References:
https://academy.pega.com/module/creating-and-understanding-decision-strategies-archived/topic/ranking-actions

Q58. Which adaptive model output is automatically mapped to a strategy property?

Performance

Score

Propensity

Evidence

Explanation
Propensity is the adaptive model output that is automatically mapped to a strategy property. Propensity is the likelihood of a positive response for a given action and predictor profile. It ranges from 0 to 100. References:
https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule-decision-/rule-decision

Q59. Which statement about the PMML standard is correct?

The PMML standard is designed to facilitate the exchange of models between applications

The PMML standard can only be used to describe tree, scorecard and regression models.

The PMML standard is a proprietary standard

The PMML standard is designed to facilitate the exchange of scores between applications

Explanation
The PMML standard is designed to facilitate the exchange of models between applications.

Q60. 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

Explanation
When you increase the performance threshold setting of an adaptive model rule, the number of active predictors may decrease. The performance threshold is the minimum performance that a predictor must have to be included in the model. If you increase this value, some predictors may not meet the criteria and be excluded from the model. References:
https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule-decision-/rule-decision

Q61. For an Adaptive Model to react quickly to changes in customer behavior, the

performance threshold should be set to a low number

model must always evaluate all customer responses

strategy must include the calculation for smooth propensity

value of the memory setting should be set to a low number

Q62. 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

Explanation
When implementing a Next-Best-Action project, the recommended first step is to define Issue and Group hierarchy, which are used to organize and categorize propositions based on business objectives and customer needs. This step helps to align the project with the business vision and goals. References:
https://academy.pega.com/module/one-one-customer-engagement/topic/next-best-action-designer

Q63. 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?

To provide insight into business processes

To balance customer needs with business objectives

To ensure that the customer is always given the best offer, regardless of the business objective

To ensure that every customer receives the same action

Explanation
Pega Customer Decision Hub uses the PCV*L arbitration formula to select the next best action for each customer. The purpose of the formula is to balance customer needs with business objectives.

Q64. To build a predictive model, use____________.

Pega Customer Service

Pega Marketing

Pega Decision Management

Pega Platform

Explanation
Pega Decision Management Reference:
To build a predictive model, use Pega Decision Management. Pega Decision Management is a tool that enables businesses to make informed decisions based on data and analytics.

Q65. 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

Explanation
According to the Pega Academy1, a strategy is a unit of reasoning that defines how to select an action for a customer. A strategy can be defined in different issues and groups, which are categories that help organize actions. An issue represents a business goal (such as retention or sales), and a group represents a subcategory of an issue (such as cross-sell or up-sell).
In a strategy defined in the “Retention” issue and the “X-Sell” group, you can import actions from all groups under the “Retention” issue1. This allows you to use actions that are relevant to your business goal and compare them with other actions in the same issue.

Q66. A text prediction perform natural language processing on a piece of text. It then produces a structured output, which can be analyzed using reports.
What is one of the types of text analysis that a text prediction performs?

Cross reference analysis

Entity extraction

Word count

Word analysis

Explanation
Text prediction is a type of natural language processing that uses AI and statistics to predict the next word in a sentence based on the preceding words . Text analysis is a process of extracting information from text data using various methods and tools. One of the types of text analysis that a text prediction performs is entity extraction23, which is the identification and classification of named entities such as people, places, organizations, dates, etc. in a text.

Q67. 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

Explanation
As a data scientist, a valid reason to adjust the default response timeout in a prediction is to suit the use case.

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Pegasystems PEGACPDS88V1 (Certified Pega Data Scientist 88V1) Exam is a certification exam that is designed to test the knowledge and skills of data scientists who work with Pega software. Pega software is a powerful tool that enables businesses to automate their processes and workflows, and data scientists who are skilled in using this software are highly sought after in today’s job market.

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