The documentation is a bit clearer now - https://docs.databricks.com/clusters/index.html

Databricks makes a distinction between interactive clusters and automated clusters. You use interactive clusters to analyze data collaboratively using interactive notebooks. You use automated clusters to run fast and robust automated jobs.

• You can create an interactive cluster using the UI, CLI, or REST API. You can manually terminate and restart an interactive cluster. Multiple users can share such clusters to do collaborative interactive analysis.
• The Databricks job scheduler creates an automated cluster when you run a job on a new automated cluster and terminates the cluster when the job is complete. You cannot restart a job cluster.