Updates for readability

Author: guyhay

articles/synapse-analytics/spark/apache-spark-pool-configurations.md

@@ -52,7 +52,7 @@ Apache Spark pools provide the ability to automatically scale up and down comput
 
 ## Elastic pool storage
 
-Apache Spark pools utilize temporary disk storage while the pool is instantiated. For many Spark jobs, it is difficult to estimate cluster storage requirements, and in some cases your Spark jobs fail if the worker nodes exhaust storage. Elastic pool storage allows the Spark engine to monitor worker node temporary cluster storage, and attach additional disks if needed. No action is required by customers. Customers should see less job failures as a result.
+Apache Spark pools utilize temporary disk storage while the pool is instantiated. For many Spark jobs, it is difficult to estimate cluster storage requirements, which may cause your Spark jobs to fail if the worker nodes exhaust storage. Elastic pool storage allows the Spark engine to monitor worker node temporary cluster storage, and attach additional disks if needed. No action is required by customers. Customers should see less job failures as a result of elastic pool storage.
 
 > [!NOTE]
 > Azure Synapse Elastic pool storage is currently in Public Preview. During Public Preview there is no charge for use of Elastic Pool Storage.