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You are tasked with setting up a new Databricks environment for a machine learning project. Your team requires a cluster that can handle the computational demands of training large-scale models. How would you go about creating a cluster with the Databricks Runtime for Machine Learning and ensuring that a specific Python library is available to all notebooks?
A
Create a standard Databricks cluster and manually install the library in each notebook.
B
Create a cluster with the Databricks Runtime for Machine Learning, then use the Databricks library management system to install the required Python library.
C
Use the Databricks Runtime for Machine Learning to create a cluster and assume that all necessary libraries are pre-installed.
D
Install the Python library on your local machine and push the changes to the Databricks environment.