When a cluster is deleted in Databricks, the platform automatically handles the termination and removal of the associated compute resources. This includes the virtual machines that were part of the cluster and the associated networking configurations created specifically for that cluster. The data stored in the associated storage accounts (like the DBFS root) is generally not automatically deleted when a cluster is terminated or deleted, as this data might be needed by other clusters or for compliance reasons. However, the compute resources spun up for that specific cluster are cleaned up by the Databricks service.

Incorrect options:

• A: This is incorrect because while virtual machines are removed, the storage associated with the workspace (which the cluster uses) is not automatically dropped. Networking components created for the cluster are usually cleaned up.
• B: This is incorrect because the storage disks associated with the workspace are not automatically dropped. Virtual machines and cluster-specific networking are usually cleaned up.
• C: This is incorrect because while cluster-specific networking is usually removed, virtual machines are also removed, and the underlying storage persists.
• D: While logs are generated by the cluster, the immediate deletion of the cluster automatically handles the lifecycle of the compute resources. Administrators might have separate retention policies for logs, but it’s not an additional action required immediately after cluster deletion for the cluster’s resources to be cleaned up.