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QuestionQ36

Exploring Data Transformation with Google Cloud

A cinema company wants to build a model that predicts customer visit patterns for the coming year. It has three years of customer-visit data from 300 theaters; however, different theaters have stored the data in different formats. The company must train the ML model. What should it do?

Explanation

ML training records need a consistent schema and representation so that each feature has the same meaning across all observations. Transforming the data into a common format preserves the available three-year dataset and allows one model to learn customer visit patterns reliably.

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