DSA-C03 Exam Dumps | You're developing a Python UDTF in Snowflake to perform sentiment analysis on customer reviews. The UDTF

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Question 108/143

You're developing a Python UDTF in Snowflake to perform sentiment analysis on customer reviews. The UDTF uses a pre-trained transformer model from Hugging Face. The code is as follows:

When deploying this UDTF, you encounter a 'ModuleNotFoundError: No module named 'transformers" error. Considering best practices for managing dependencies in Snowflake UDTFs, what is the most effective way to resolve this issue?

A. Install the 'transformers' library directly on the Snowflake compute nodes using Snowpark's 'add_packageS method at the session level:

B. Create a Conda environment containing the 'transformers' library, package it into a zip file, upload it to a Snowflake stage, and specify the stage path in the 'imports' parameter when registering the UDTF.

C. Include the 'transformers' library in the same Python file as the UDTF definition. This is acceptable for smaller libraries.

D. Use the 'snowflake-ml-python' library and its dependency management features to automatically resolve and deploy the 'transformers' dependency.

E. Upload all the dependencies of Transformers (manually downloaded libraries) to the internal stage.

Correct Answer: B

Option B is the recommended approach for managing dependencies like 'transformers' in Snowflake UDTFs. Creating a Conda environment ensures that all required libraries and their dependencies are packaged together, preventing version conflicts and ensuring reproducibility. Uploading the environment to a stage and specifying it in the 'imports' parameter makes the dependencies available to the UDTF during execution. Option A is incorrect because Snowpark's 'add_packageS is the ideal way for adding packages. Option C is impractical for large libraries like 'transformers'. Option D, although using snowflake-ml-python is valid, manually creating conda environment will reduce the depndency on other services. Option E is very tedious.

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