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Consider you are working on a credit risk scoring model using Snowflake. You have a table 'credit data' with the following schema: 'customer id', 'age', 'income', 'credit_score', 'loan_amount', 'loan_duration', 'defaulted'. You want to create several new features using Snowflake SQL to improve your model. Which combination of the following SQL statements will successfully create features for age groups, income-to-loan ratio, and interaction between credit score and loan amount using SQL in Snowflake? Choose all that apply.
Correct Answer: D,E
Options D and E are correct. Option D creates a VIEW that dynamically calculates all three features without modifying the underlying table. A view is the correct and recommended usage. Option E creates a new table with all the features including the new engineered features. Option A creates a column and updates it, but this is inefficient compared to creating the feature directly in a single SELECT statement (Option E). B createa a temporary table but does not contain all three features. Option C, it only addresses the interaction feature, not age_group or income to loan ratio.