It is a cluster-physical machine. If you use it for a long time, something could change. It is just a Linux machine. I don't think it is databricks fault.

By the way, Azure Data Factory is running on ... databricks. So it is just Microsoft UI for databricks.

The error can also happen by 3rd libraries/docker, which fails to download.

I also had the machine, which worked fine for months and then failed. After analysis, it was because Linux couldn't download the pyodbc library from Microsoft as their repo stopped working. I fixed it by downloading it to dbfs and use from there.