You are using Snowflake Notebooks to develop a Snowpark application and want to leverage a custom Python library that is not available in the default environment. What steps are necessary to make this library available within your Snowflake Notebook?
Correct Answer: B
Snowflake Notebooks primarily use conda environment specification files ('environment.yml') (B) to manage dependencies. You specify the required libraries in the 'environment.ymr file, upload it to a stage, and use it when creating or updating the Notebook environment. Uploading raw .pV files (A) might work for simple modules, but lacks dependency management. Using '!pip install' (C and E) directly in the notebook is not the intended way to manage dependencies in Snowflake Notebooks for production scenarios and might not persist across sessions.