Merge pull request #120681 from santhoshravindran7/patch-2

Update apache-spark-autoscale.md

Author: Jak-MS

articles/synapse-analytics/spark/apache-spark-autoscale.md

@@ -1,12 +1,12 @@
 ---
 title: Automatically scale Apache Spark instances
-description: Use the Azure Synapse autoscale feature to automatically scale Apache Spark Instances
+description: Use the Azure Synapse Analytics autoscale feature to automatically scale Apache Spark Pools
 author: guyhay
 ms.author: guyhay
 ms.service: synapse-analytics 
 ms.topic: conceptual
 ms.subservice: spark
-ms.date: 02/14/2023
+ms.date: 03/11/2024
 ---
 
 # Automatically scale Azure Synapse Analytics Apache Spark pools
@@ -94,6 +94,9 @@ During the instance scaling down process, Autoscale will put the nodes in decomm
 
 The running jobs will continue to run and finish. The pending jobs will wait to be scheduled as normal with fewer available nodes.
 
+> [!NOTE]
+>  By default, spark.yarn.executor.decommission.enabled is set to true, enabling the automatic shutdown of underutilized nodes to optimize compute efficiency. If less aggressive scaling down is preferred, this configuration can be set to false.
+
 ## Next steps
 
 Quickstart to set up a new Spark pool [Create a Spark pool](../quickstart-create-apache-spark-pool-portal.md)