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Certified Pega Data Scientist 88V1 certification is recognized globally and is an excellent way to showcase your expertise to potential employers. With the demand for data scientists increasing rapidly, the PEGACPDS88V1 certification is an excellent way to stay ahead of the competition and advance your career in data science.r The PEGACPDS88V1 (Certified Pega Data Scientist 88V1) Certification Exam is a rigorous and comprehensive test of knowledge and skill in data science and the Pega Platform. It is intended for professionals who are already experienced in these areas and are looking to deepen their understanding and demonstrate their expertise. By earning this certification, you can enhance your career prospects and open up new opportunities for professional growth and development.r >> PEGACPDS88V1 Exam Tutorial <<r Pass Guaranteed Pegasystems - PEGACPDS88V1 Authoritative Exam Tutorialr Our PEGACPDS88V1 test guide has become more and more popular in the world. 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It is really spend your little time and energy.r Pegasystems Certified Pega Data Scientist 88V1 Sample Questions (Q96-Q101):r NEW QUESTION # 96 Using Prediction Studio to build Pega machine learning models on historical data, you can build two types of models:____________and____________.(Choose Two)r A. continuous modelsr B. voice to text modelr C. adaptive modelsr D. binary modelsr Answer: C,Dr Explanation:ExplanationUsing Prediction Studio to build Pega machine learning models on historical data, you can build two types of models: binary models and adaptive models.r NEW QUESTION # 97 The Adaptive Model output that is automatically mapped to a strategy property is_________.r A. evidencer B. performancer C. propensityr D. scorer Answer: Cr Explanation:ExplanationThe adaptive model output that is automatically mapped to a strategy property is propensity, which indicates the likelihood that the customer will accept or respond to an offer. Propensity is also known as behavior or probability in decision strategies. References:https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data-archived/topic/using-adapr NEW QUESTION # 98 Which statement about the PMML standard is correct?r A. The PMML standard is designed to facilitate the exchange of models between applicationsr B. The PMML standard is a proprietary standardr C. The PMML standard can only be used to describe tree, scorecard and regression models.r D. The PMML standard is designed to facilitate the exchange of scores between applicationsr Answer: Ar Explanation:ExplanationThe PMML standard is designed to facilitate the exchange of models between applications.r NEW QUESTION # 99 What is the difference between predictive and adaptive analytics?r A. Predictive models predict customer behavior.r B. Predictive models can predict a continuous value.r C. Predictive models have evidence.r D. Adaptive models use the customer data as predict*r Answer: Dr Explanation:ExplanationThe difference between predictive and adaptive analytics is that adaptive models use the customer data as predictors, while predictive models use the customer data as outcomes. Adaptive models learn from real-time customer interactions and update their predictions accordingly. Predictive models use historical customer data to train and validate their predictions. References:https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data-archived/topic/adaptive-mr NEW QUESTION # 100 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?r A. Predictive modelr B. 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