I agree with the @Retko Okter

To support the second point, find the below explanation,​

Optimized autoscaling

• Firstly, scales up from min to max in 2 steps.
• Secondly, can scale down even if the cluster is not idle by looking at shuffle file state.
• Thirdly, scales down based on a percentage of current nodes.
• And, on job clusters, scales down if the cluster is underutilized over the last 40 seconds.
• Lastly, on all-purpose clusters, scales down if the cluster is underutilized over the last 150 seconds.

Standard autoscaling

• Firstly, starts with adding 8 nodes. Thereafter, scales up exponentially, but can take many steps to reach the max.
• Secondly, scales down only when the cluster is completely idle and it has been underutilized for the last 10 minutes.
• Lastly, scales down exponentially, starting with 1 node.