Hi Team,

I am exploring serverless compute in Databricks and had a few questions related to governance and cost control.

We have multiple user groups in a workspace and are planning to move from all-purpose clusters to serverless compute. We understand that serverless budget policies can be used to tag and monitor serverless usage for cost attribution.

However, I would like to clarify:

1. Is there any way to automatically apply a serverless budget policy based on user group membership, without requiring users to manually select the policy when creating notebooks, jobs, or pipelines?

2. Apart from monitoring and tagging usage, is there any supported way to limit or cap serverless compute resources or cost per user or user group (for example, CPU, memory, concurrency, or spend limits)?