With AWS/Azure Autoscaling, how do we fine tune spark jobs?

auser85
New Contributor III

With the recommended autoscaling, e.g, https://docs.databricks.com/clusters/cluster-config-best-practices.html, setting; is it possible to dynamically set a fine tuned spark job, given that the number of executors could be changing at any time?