SPS-C01 Exam Dumps | You are tasked with optimizing a Snowpark application that performs sentiment analysis on customer reviews

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Snowflake.SPS-C01.v2026-08-07.q151
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Question 33/151

You are tasked with optimizing a Snowpark application that performs sentiment analysis on customer reviews using a Python UDE The UDF uses a large pre-trained natural language processing (NLP) model stored in a file named 'sentiment_model.pkl'. The current implementation loads the model from the stage for each row of data processed, which is impacting performance. How can you optimize the application to load the model only once per worker process?

A. Use the decorator from the 'functools' module to cache the model loading function. Upload 'sentiment_model.pkl' to a stage and reference it in the 'imports' clause.

B. Use a global variable to store the loaded model. Load the model from the stage into the global variable only if it is currently None. Upload 'sentiment_model.pkl' to a stage and reference it in the 'imports' clause.

C. Use to import 'sentiment_model.pkl'. Use the decorator from the 'functools' module to cache the model loading function, initializing the model outside of the UDF definition.

D. Define 'sentiment_model.pkl' as a parameter during UDF definition to load only once per worker process and send it to the UDF.

E. Implement a custom initialization function that loads the model and is called only once per worker process. Utilize the to retrieve and cache model during session initialization. Upload 'sentiment_model.pkl' to a stage and reference it in the 'imports' clause.

Correct Answer: B

Option B offers the most straightforward and efficient solution. By utilizing a global variable and loading the model only if it's 'None' , the model is loaded only once per worker process. The 'imports' clause ensures the model file is accessible to the UDF. Caching via '@cache' (A) might not work correctly with serialization/deserialization across processes. (C) pre imports at the session level but cache control is still missing. passing as parameter (D) doesn't address model only loads once per worker. (E) This technique is not directly supported for achieving per-worker initialization in standard Snowpark UDFs, making B a better and more commonly used approach.

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