Hello @Ashwin_DSA ,

Thanks for your quick reply. My aim is to use it in a scheduled job (python script) deployed via the cli.

When I tried like you suggested:

  environments:
    - environment_key: default
      spec:
        base_environment: databricks_ml_v5

with base_environment either quoted or unquoted -- I get this exception:

Error: cannot update job: Invalid base environment for 'default'. Only custom base environments (Workspace or Volume absolute paths ending with '.yaml' or '.yml') are currently supported.

I'm currently deploying via databricks cli=1.2.1