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You are working with a dataset that contains customer transactions and you need to build an ML model to predict customer purchase behavior. You plan to develop the model in BigQuery ML and export it to Cloud Storage for online prediction. The input data includes several categorical features, such as product category and payment method. Considering that you want to handle these categorical features effectively and deploy the model as quickly as possible, what should you do?