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How to Prepare for Pega CPDS Exam?
Pega Data Scientist Exam Summary: Vendor Pega Exam Code CPDS Full Exam Name Pega Certified Data Scientist Number of Questions 50 Sample Questions Pega PEGACPDS88V1 Exam Sample Questions and Answers Pega Certified Data Scientist (CPDS) Practice Test Practice Exam Passing Score 70% Time Limit 90 Minutes Exam Fee USD $175
CPDS Certification Syllabus Content: Syllabus Topics: Weights AI for Customer Decision Hub 6% Adaptive Analytics 28% Predictive Analytics 25% Prediction Patterns 22% Governance 3% Pega NLP 8% Pega Process AI 8%
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Pega Data Scientist Sample Questions
Que.: 1. What is the difference between classification and regression in Predictive Analytics? Options: a) Classification is used for predicting continuous outcomes, while regression is used for predicting categorical outcomes b) Classification is used for predicting categorical outcomes, while regression is used for predicting continuous outcomes c) Classification and regression are the same thing d) Neither classification nor regression are used in Predictive Analytics
Answer: b) Classification is used for predicting categorical outcomes, while regression is used for predicting continuous outcomes
Que.: 2. In a decision strategy, which component is required to enable access to proposition properties? Options: a) Proposition Data b) Data Include c) Data Join d) Property Import
Answer: a) Proposition Data
Que.: 3. Which of the following is NOT a use case for NLP in Pega? Options: a) Sentiment analysis b) Text classification c) Speech recognition d) Entity extraction
Answer: c) Speech recognition
Que.: 4. You are a company with a new and unique product, and you want to offer it to the right customer. Given the scenario, which rule type should you use? Options: a) Scorecard b) Adaptive Model c) Predictive Model d) Decision Table
Answer: d) Decision Table
Que.: 5. How can Adaptive Analytics models be deployed in production environments? Options: a) Manually copying and pasting the code into a production system b) Ignoring production deployment and only using models for offline analysis c) Only deploying models in a sandbox environment d) Using a software development process to test and deploy models
Answer: d) Using a software development process to test and deploy models
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