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How can a data science team ensure that a custom Python library, custom_lib, is available to all notebooks running on a shared Databricks cluster?
custom_lib
A
Configure the cluster to use the Databricks Runtime for MLlib.
B
Include the path to custom_lib in the PYTHONPATH variable within the cluster configuration.
C
Execute %pip install custom_lib in any notebook connected to the cluster.
%pip install custom_lib
D
Add dbutils.library.installPyPI('custom_lib') to the cluster's initialization script.
dbutils.library.installPyPI('custom_lib')
E
It is impossible to make custom_lib available on the cluster.
