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Most Recent Pegasystems PEGACPDS88V1 Exam Questions & Answers
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 Dec 21, 2024.
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The use of an imported third-party model in a decision strategy is____
The use of an imported third-party model in a decision strategy is similar to the use of a model built with Pega machine learning. You can use a predictive model component in a decision strategy to reference an imported third-party model and pass the input parameters and receive the output score. You do not need to convert the third-party model into a Pega machine learning model or Pega markup language. Reference: https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule-decision-/rule-decision-predictivemodel/main.htm
How does a prediction help in proactive retention?
A prediction helps in proactive retention by predicting the customer's churn risk. A prediction is an estimate of the likelihood of a future outcome based on historical data and statistical models. A prediction can help identify customers who are at risk of leaving and target them with appropriate actions to retain them. Reference: https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#decisioning-/decisioning-strategies-/decisioning-strategies-proactive-retention/main.htm
.Prediction Studio supports keyword-based topic detection, model-based topic detection, or a combination of both. When using a text prediction based on machine learning with keywords configured,_________________.
When using a text prediction based on machine learning with keywords configured, the Not keywords function as negative features, meaning that they reduce the probability of detecting the topic if they appear in the text. The Must keywords and May keywords do not have any impact on the machine learning model. Reference: https://academy.pega.com/module/text-analytics/topic/configuring-keywords
Next-Best-Actionensures that communication between the business and the customer is________and_________. (Choose Two)
Timely and contextual Reference:
Next-Best-Action ensures that communication between the business and the customer is timely and contextual.
Adaptive model predictors are selected from the____________.
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. Reference: https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data-archived/topic/configuring-adaptive-models
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