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A data engineer needs to install the PyYAML Python package within an air-gapped Databricks environment...

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A data engineer needs to install the PyYAML Python package within an air-gapped Databricks environment . The workspace has no direct internet access to PyPI. The engineer has downloaded the .whl file locally and wants it available automatically on all new clusters.

Which approach should the data engineer use?

A.

Upload the PyYAML .whl file to the user home directory and create a cluster-scoped init script to install it.

B.

Upload the PyYAML .whl file to a Unity Catalog Volume, ensure it’s allow-listed, and create a cluster-scoped init script that installs it from that path.

C.

Set up a private PyPI repository and install via pip index URL.

D.

Add the .whl file to Databricks Git Repos and assume automatic installation.

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