Hi @Retired_mod ,

Thanks for your last response

As per my understanding when a user submits an application in spark cluster it specifies how much memory, executors etc it would need . 

But in Databricks notebooks we never specify that anywhere. If we have submitted the notebook in a Job cluster how does DataBricks Resource Manager decides how much it will  allocate resources to this one 

In a cluster having pool I understand we have idle resources which can be allocated as a cluster but still don't understand how much on notebook will be assigned resources