As a junior Data Scientist in a Governmental Institution, you're tasked with preparing a dataset for a linear regression model aimed at demographic research. The dataset is stored in BigQuery and includes various demographic features. Your objectives are to avoid multicollinearity by combining the 'country' and 'language' features into a single categorical variable and to categorize the 'income' feature into 5 quantile-based classes for better model performance. Given the constraints of data privacy and the need for scalable processing, which of the following BigQuery ML functions should you use to achieve these objectives? (Select 2)