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https://www.certspots.com/exam/pegacpds88v1/ PEGACPDS88V1 Real Dumps PEGACPDS88V1 Real Dumps 1. 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) A. The value of only the active predictors B. The outcome of the interaction C. The model metadata D. The propensity generated by the model E. The value of all predictors Answer: B,E PEGACPDS88V1 Real Dumps 2. What is the difference between predictive and adaptive analytics? A. Predictive models can predict a continuous value. B. Predictive models predict customer behavior. C. Adaptive models use the customer data as predict* D. Predictive models have evidence. Answer: C PEGACPDS88V1 Real Dumps 3. The standardized machine learning process (MLOps) lets you replace a low-performing predictive model that drives a prediction with an updated model. When you approve the model, a change request is automatically generated in__________. A. the business operations environment B. an external environment C. the production environment Answer: C PEGACPDS88V1 Real Dumps 4. As a data scientist, you are tasked with configuring two predictions that are driven by an adaptive model: one for an inbound channel and one for an outbound channel. To which setting do you need to pay extra attention? A. Response timeout B. Adaptive model C. Predictor fields D. Control group Answer: B PEGACPDS88V1 Real Dumps 5. The purpose of predictions is to______________. A. build adaptive models B. monitor the success rate of individual actions C. add best data scientist practices to adaptive models D. add predictors to adaptive models Answer: C PEGACPDS88V1 Real Dumps 6. Which statement about predictive models is true? A. Predictive models need historical data to be created B. Predictive models need to be specified in a data attribute C. Predictive models are always associated with an action D. Predictive models need unstructured bie data Answer: A PEGACPDS88V1 Real Dumps 7. As a data scientist, you are asked to create a prediction to optimize the click-through rate of a web banner. What type of prediction do you need to create in Prediction studio? A. Adaptive prediction B. Case management C. Customer Decision Hub D. Text analysis Answer: C PEGACPDS88V1 Real Dumps 8. As a data scientist, you are tasked with creating a new prediction that estimates a customers' likelihood to leave the business in the near future. The NBA analyst wants to move forward and use the prediction in Pega Customer Decision Hub™ to test the application. To unblock the NBA specialist, which task do you prioritize? A. Create the prediction B. Create the customer data model C. Create a placeholder scorecard to drive the prediction D. Create the predictive model that drives the prediction Answer: D PEGACPDS88V1 Real Dumps 9. In a decision strategy, the Adaptive Model decision component belongs the_____. A. Decision Analytics category B. Business Rules category C. Arbitration category D. Predictive Model category Answer: A PEGACPDS88V1 Real Dumps 10. Which statement about predictive models is true? A. You need past experience to create a predictive model. B. They need unstructured big data. C. They are always associated with a proposition. D. They need to be specified in a data attribute. Answer: A
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