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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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