SPS-C01 Exam Dumps | You are developing a Snowpark application that uses a UDF written in Python. This UDF requires several

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Question 84/151

You are developing a Snowpark application that uses a UDF written in Python. This UDF requires several third-party Python packages (e.g., 'pandas', 'scikit-learn'). You need to ensure these packages are available in the UDF's execution environment within Snowflake. You have the packages listed in a 'requirements.txt' file. Which of the following methods, alone or in combination, correctly provision these dependencies for the UDF? (Select all that apply)

A. Include the packages directly in the '@udf decorator's 'packages' argument as strings (e.g., 'scikit-learnT).

B. Upload the 'requirements.txt file to a Snowflake stage and specify the stage location in the 'imports' argument of the '@udf decorator.

C. Create a Conda environment with the required packages and upload the resulting environment file to a Snowflake stage. Specify the stage location in the 'conda_integration' argument of the 'session.udf.register' method or guff decorator.

D. Manually install the packages on the Snowflake compute warehouse nodes using SSH.

E. Use the 'session.add_packages' method to add the packages programmatically before registering the UDF.

Correct Answer: A,C,E

Options A, C and E are correct. Option A: Directly including packages as strings in the '@udf decorator's "packages' argument is a valid way to specify dependencies when using the Snowflake Anaconda channel. Option C: Using a Conda environment file is the most robust way to manage dependencies, especially for complex projects with specific version requirements. Uploading the environment and referencing it through conda_integratiorü ensures consistent dependency resolution. Option E: Using the 'session.add_packageS method is a viable way to add packages dynamically before UDF registration. Option B is incorrect: you cannot directly import a 'requirements.txt' file using 'imports'. Option D is incorrect: You cannot manually install packages on the Snowflake compute warehouse.

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