Pegasystems PEGACPDS88V1 Practice Questions Certified Pega Data Scientist 8.8 Order our PEGACPDS88V1 Practice Questions Today and Get Ready to Pass with Flying Colors! PEGACPDS88V1 Practice Exam Features | QuestionsTube Latest & Updated Exam Questions Subscribe to FREE Updates Both PDF & Exam Engine Download Directly Without Waiting https://www.questionstube.com/exam/pegacpds88v1/ At QuestionsTube, you can read PEGACPDS88V1 free demo questions in pdf file, so you can check the questions and answers before deciding to download the Pegasystems PEGACPDS88V1 practice questions. These free demo questions are parts of the PEGACPDS88V1 exam questions. Download and read them carefully, you will find that the PEGACPDS88V1 test questions of QuestionsTube will be your great learning materials online. Share some PEGACPDS88V1 exam online questions below. Essential Pegasystems PEGACPDS88V1 Practice Exam - Enhance Your Study Experience Today 1.Which decision component allows you to use a third-party Credit Risk Model 80% of the time and a Pega Credit Risk Model 20%? A. Filter B. Champion Challenger C. Adaptive Model D. Switch Answer: B Explanation: The Champion Challenger component is used to implement a setup where multiple models (e.g., a third-party Credit Risk Model and a Pega Credit Risk Model) are used with different weights (80% and 20% in this case). 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 Explanation: The 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-models-overview 3.In a decision strategy, to remove propositions based on the current month, you use a A. Calendar component B. Filter component C. Data Strategy property D. Calendar strategy property Answer: B Explanation: In a decision strategy, a filter component would be used to remove propositions based on specific criteria, such as the current month. 4.What type of a predictor can you use in an adaptive model? A. Symbolic B. Integer C. Page Type D. Logical Answer: B Explanation: Integer type predictors can be used in an adaptive model, as they represent quantifiable or measurable attributes. 5.The standardized machine learning process (MLOps) lets you replace a low-performing predictive Essential Pegasystems PEGACPDS88V1 Practice Exam - Enhance Your Study Experience Today 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 Explanation: When you approve the updated model in the standardized machine learning process (MLOps), a change request is automatically generated in the production environment. 6.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: B Explanation: The main purpose of predictions is to monitor the success rate of individual actions, by estimating the likelihood of certain outcomes. 7.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 Explanation: As a data scientist, if you are tasked with configuring two predictions that are driven by an adaptive model, you need to pay extra attention to adaptive model settings. 8.A legal firm wants to use text analytics for easier and faster access to information to helo with compliance related issues. The legal firm needs a taxonomy of legal concepts. What is a taxonomy? A. A list of business rules B. The output of an expert survey C. A sentiment analysis model D. A list of valid categories Answer: D Explanation: A taxonomy is a list of valid categories that can be used to classify text documents or entities. A taxonomy can be hierarchical or flat, depending on the level of detail required. References: https://academy.pega.com/module/text-analytics/topic/creating-taxonomy Powered by TCPDF (www.tcpdf.org)