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You're embarking on a regression model training task using Azure Automated Machine Learning, facing a dataset with missing values and categorical features having limited discrete values. Your goal is to configure Automated Machine Learning to automatically handle missing value imputation and encode categorical features during training. What action should you take to ensure these requirements are met?