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You are working with a Snowpark DataFrame named 'employees_df' that contains employee data, including a column named 'hire_date' of type String. The date format in the 'hire_date' column is 'MM/DD/YYYY'. You need to convert this column to a DateType so you can perform date-based calculations. Which of the following Snowpark code snippets correctly converts the column to a DateType?
Correct Answer: C
Option C is correct. The 'to_date' function in Snowpark requires the column to be converted as the first argument and the date format as the second argument to correctly parse the string representation of the date. Option A will attempt to convert, but since no format is provided it will fail or produce unexpected results, if the string format matches the default date format. Option B provides the wrong separator. Option D passes column name as string to 'to_date' function, it requires column object and Option E converts to 'TimestampType' , whereas we need 'DateType'.