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You are responsible for deploying a machine learning model in a production environment using Databricks Runtime for Machine Learning. The model requires a specific Python library for inference that is not available in the default environment. What is the most reliable way to ensure this library is available for the model?
A
Manually install the library in the production cluster using a user script executed upon cluster start.
B
Use the Databricks Library management system to install the library at the cluster scope, ensuring it's available for model inference.
C
Instruct the model deployment team to install the library in their local development environment before deploying the model.
D
Assume the library is pre-installed in the Databricks Runtime for Machine Learning and proceed without verification.