Certified Pega Data Scientist Practice Exam 2026 - Free Pega Data Scientist Practice Questions and Study Guide

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What is the primary purpose of identifying a decision requiring a predictive model?

To define the input data

To establish the predicted outcome behavior

Identifying a decision that requires a predictive model primarily serves the purpose of establishing the predicted outcome behavior. This means that the primary goal is to understand what the model aims to predict based on the available data. By clearly defining the behavior to be predicted, data scientists can effectively tailor the model to specific business needs, ensuring that the insights derived from the model are actionable and relevant.

In practice, this involves framing the decision in a way that allows for quantifiable predictions, which can guide stakeholders in making informed decisions. Understanding the outcome behavior is crucial as it influences the entire modeling process, including data selection, feature engineering, and validation techniques to ensure that the model delivers accurate predictions aligned with business objectives.

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To create a data visualisation

To construct a sample dataset

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