You are responsible for deploying a machine learning model in a production environment using Databricks Runtime for Machine Learning. You need to ensure that the production cluster has access to a specific Python library required for model inference. How should you proceed?

Simulated

Explanation:

Option C is the correct approach for a production environment as it ensures the library is available at the cluster level, reducing the risk of errors during model inference. Manual installations or user scripts may not be as reliable or consistent as the Library management system.

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You are responsible for deploying a machine learning model in a production environment using Databricks Runtime for Machine Learning. You need to ensure that the production cluster has access to a specific Python library required for model inference. How should you proceed?