SPS-C01 Exam Dumps | You are developing a Snowpark stored procedure in Python to perform sentiment analysis on customer reviews.

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Snowflake.SPS-C01.v2026-08-07.q151
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Question 56/151

You are developing a Snowpark stored procedure in Python to perform sentiment analysis on customer reviews. The procedure relies on a custom Python library, 'sentiment_analyzer.py' , which is not available in Snowflake's default Anaconda channel. You also need to include the 'nltk' library. Which of the following approaches is the MOST efficient and recommended way to make both dependencies available to your stored procedure within Snowflake?

A. Upload 'sentiment_analyzer.py' and 'nltk"s compiled code as separate stages, then import them within the stored procedure using 'sys.path.append()'.

B. Create a Snowflake Anaconda channel package containing 'sentiment_analyzer.pV and 'nltk' using 'conda build' , then reference this package in your stored procedure's 'imports' parameter.

C. Create a ZIP file containing 'sentiment_analyzer.py' and the required 'nltk' modules, upload it to a stage, and specify the stage path in the 'imports' parameter of the 'sproc' decorator.

D. Install 'sentiment_analyzer.py' and 'nltk' on each Snowflake virtual warehouse node and set the 'PYTHONPATH' environment variable. (This will require contacting Snowflake support.)

E. Include the code from 'sentiment_analyzer.py' directly within the stored procedure's Python code and download 'nltk' modules from the internet each time the stored procedure is executed.

Correct Answer: C

Option C is the most efficient and recommended approach. Snowflake allows importing dependencies from a stage as a ZIP file. This avoids the complexity of creating a custom Anaconda package (Option B) or manually managing dependencies on each virtual warehouse node (Option D), which is not supported. Directly including the code (Option E) makes the procedure large and difficult to manage. Using (Option A) is generally discouraged as it's less robust for dependency management in Snowpark stored procedures.

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