SPS-C01 Exam Dumps | You have a Python function that takes a string as input and returns a sentiment score (a float between

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Snowflake.SPS-C01.v2026-08-07.q151
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Question 57/151

You have a Python function that takes a string as input and returns a sentiment score (a float between -1 and 1). This function relies on a large pre-trained Natural Language Processing (NLP) model. You want to deploy this function as a UDF in Snowpark and optimize its performance, specifically minimizing the model loading time for each execution. You have already uploaded the model to a stage named '@my_stage/models'. Select the option that combines caching techniques and UDF deployment strategies to achieve the best performance.

E. Option B and C are best and gives a scalable solution

Correct Answer: E

Options B and C provide the best performance by combining caching and correct UDF deployment strategies. They both import the model, and load it into cache. Option A is incorrect because the model loading will happen on every function invocation, killing performance. Option D is incorrect because the Sentimentscorer class is initialized on every function invocation, re-loading the model each time.

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