Exam Databricks-Certified-Professional-Data-Engineer Topic 1 Question 7 Discussion

Actual exam question for Databricks's Databricks-Certified-Professional-Data-Engineer exam
Question #: 7
Topic #: 1

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.

Suggested Answer: B Vote an answer

Comprehensive and Detailed Explanation From Exact Extract of Databricks Data Engineer Documents:
For secure, air-gapped Databricks deployments, the recommended practice is to host dependency files such as .whl packages in Unity Catalog Volumes - a managed storage layer governed by Unity Catalog.
Once stored in a volume, these files can be safely referenced from cluster-scoped init scripts, which automatically execute installation commands (e.g., pip install /Volumes/catalog/schema/path/PyYAML.whl) during cluster startup.
This ensures consistent environment setup across clusters and compliance with data governance rules.
User directories (A) lack enterprise security controls; private repositories (C) are not viable in air-gapped setups; and Git repos (D) do not trigger package installation. Therefore, B is the correct and officially approved method.

by Benson at Oct 07, 2026, 05:09 AM

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