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You have a Snowpark DataFrame named 'employee_df in VS Code. You want to define a user-defined function (UDF) in Python that calculates the bonus for each employee based on their salary and performance rating. The UDF should take the salary (SALARY) and performance rating (PERFORMANCE RATING) as inputs and return the bonus amount. Assume you have already established a Snowpark session. Which code snippet accurately defines and registers a UDF named 'calculate_bonus' that can be applied to the 'employee_df DataFrame?
Correct Answer: A,B
Options A and B are both correct methods. Option A defines the Python function and then registers it as a UDF using session.udf.register' . It explicitly specifies the return type, input types, UDF name, and the 'replace=True' option to allow overwriting if the UDF already exists. Option B uses the guff decorator to directly register the function as a UDF, providing a more concise way to define and register UDFs. Option A is also valid as the user defined datatypes and name. Option C requires the snowflake-snowpark-python package (which is already installed via dependencies) and the 'fune argument is redundant. Option D is wrong as would remove the currently configured packages. Option E is incorrect because making the UDF permanent requires additional privileges and setup that aren't covered by default.