Consider the following Snowpark Python code snippet that defines and registers a User-Defined Table Function (UDTF):

Which of the following statements is MOST accurate regarding the behavior and limitations of this UDTF when used in a Snowpark DataFrame transformation?
Correct Answer: E
Option E is the most accurate. When a Snowpark UDTF receives NULL as input, it's passed as 'None' in Python. The provided code defines the 'output_schema' which describes the structure and types of the rows that the UDTF will return. Option A is incorrect because, while Snowflake distributes UDTF processing, the code itself doesn't guarantee parallelism within a single input string. Option B is incorrect; UDTFs can be used with any DataFrame, regardless of whether it's backed by a persistent table. Option C is incorrect because NULL values in the input DataFrame will be passed as 'None' to the 'process' method. Option D is incorrect; Snowpark distributes UDTF execution across worker nodes, not within the driver process.