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A machine learning team is working on a project that requires a specific version of the numpy library. They aim to ensure this version is used across all notebooks in their Databricks workspace. What is the best approach to achieve this?
A
Run %pip install numpy== once on any notebook attached to the cluster.
B
Edit the cluster to use the Databricks Runtime for Machine Learning.
C
Add numpy== to the cluster's library dependencies.
D
Set the PYTHON_VERSION variable in the cluster configuration to the required version.
E
There is no way to enforce a specific version of numpy on a cluster.
