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You've created a Snowpark Python stored procedure designed to perform sentiment analysis on customer reviews stored in a Snowflake table. This procedure utilizes a third-party Python library, 'transformers', for its sentiment analysis model. You need to operationalize this stored procedure for scheduled execution. Which of the following options represents the MOST efficient and reliable approach for deploying and managing the 'transformers' dependency within the Snowflake environment for your stored procedure, minimizing deployment complexity and potential runtime errors?
Correct Answer: C
Using Snowflake Anaconda channels (option C) is the recommended and most efficient way to manage Python dependencies for Snowpark stored procedures. It provides version control, dependency management, and ensures consistency across executions. Option A is highly discouraged due to security risks and maintainability issues. Option B can work, but it lacks proper dependency management and versioning. Option D is not possible, as you cannot directly modify the Snowflake compute warehouse nodes. Option E is incorrect. Task definititions does not have any mechanism to include the library