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Most Recent Pegasystems PEGACPDS88V1 Exam Dumps

 

Prepare for the Pegasystems Certified Pega Data Scientist 8.8 exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.

QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the Pegasystems PEGACPDS88V1 exam and achieve success.

The questions for PEGACPDS88V1 were last updated on Mar 29, 2025.
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Question No. 1

Prediction Studio supports keyword-based topic detection, model-based topic detection and the combination of these. When using machine learning,

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Correct Answer: C

When using machine learning, the Must keywords function aspositive features.


Question No. 2

Which data is usually not appropriate to be used as a predictor?

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Correct Answer: C

Customer name is usually not appropriate to be used as a predictor. A predictor is a property that influences the customer behavior and can be derived from various sources such as customer profile, interaction history, proposition details, etc. Customer name is not likely to have any impact on the customer's preferences or responses, and it may also violate privacy regulations. Reference: https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule-decision-/rule-decision-adaptivemodel/main.htm


Question No. 3

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

What is evidence in the context of an adaptive model?

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Correct Answer: B

Evidence is the number of customers who exhibited statistically similar behavior. It indicates how much data the model has collected for a given predictor profile. The higher the evidence, the more reliable the model is. Reference: https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule-decision-/rule-decision-adaptivemodel/main.htm


Question No. 4

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)

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Correct Answer: A, C

When performing regular inspection of adaptive models, two issues that should be discussed with the business arepredictors with a low performanceandactions that are offered so often that they dominate other actions.


Question No. 5

To create channel-specific Adaptive Model instances, you____________

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Correct Answer: D

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