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You've developed a Snowpark Python UDTF that performs complex data transformation. This UDTF needs to be operationalized within a data pipeline. You want to ensure high performance and scalability. Which of the following strategies will be MOST effective in operationalizing this UDTF?
Correct Answer: B
Registering the UDTF as a permanent function allows it to be reused across multiple sessions and data pipelines. Appropriate resource allocation, such as selecting an appropriate warehouse size, ensures sufficient compute resources for the UDTF's execution. Vectorization within the UDTF implementation can significantly improve performance by processing data in batches. External functions introduce additional complexity and potential latency. Temporary functions are not suitable for operationalization. Option D is incorrect because it negates the benefits of Snowpark's scalability. Option E is incorrect because proper resource sizing is necessary.