Option B is correct. The provided Dockerfile example for deploying Llama 2 in Snowpark Container Services explicitly uses 'conda install -n rapids -c https://repo.anaconda.com/pkgs/snowflake' to install Snowflake-specific packages like 'snowflake-ml-python' and 'snowflake- snowpark-python' from the Snowflake Anaconda channel. It then uses 'pip install' for other open-source libraries that are not available or preferred from the Anaconda channels. Option A is incorrect because while pip can install many packages, the provided example demonstrates using 'conda' from the Snowflake Anaconda channel for certain foundational packages. Option C is incorrect because while 'conda-forge' is a common channel for open-source packages, the specific Snowflake-related packages in the example are pulled directly from the 'https://repo.anaconda.com/pkgs/snowflake' channel. Although Source notes that 'conda-forge' is assumed for 'conda_dependencies' in when building container images, a Dockerfile explicitly defining 'RUN conda install' can specify the channel, which the example in demonstrates. Option D is incorrect because the 'defaultS channel often requires user acceptance of Anaconda terms, which is not feasible in an automated build environment. Option E is a generic approach for pip dependencies but doesn't specifically address the recommended use of 'conda' from the Snowflake Anaconda channel for certain core Snowflake packages as shown in the practical example.