Google Cloud Digital Leader — Question 130

A cinema company wants to build a model to predict customer visit patterns for the coming year. They have three years of customer visit data across 300 theaters; however, the data has been stored in different formats by different theaters. They must train the ML model. What should they do?

Answer options

• A. Use the last year of data so there are fewer inconsistencies for the model to handle.
• B. Transform the data into a consistent format.
• C. Group different format types and train a different model for each group.
• D. Choose an ML model type that can process different formats of input data.

Correct answer: B

Explanation

The correct answer is B because transforming the data into a consistent format is essential for training an accurate ML model. Option A is incorrect as using only the last year's data may not provide enough information for reliable predictions. Option C is not ideal since it complicates the model training process and requires managing multiple models. Option D is also incorrect because while some ML models can handle different formats, ensuring consistency in data is a more effective approach.