Update hdinsight-autoscale-clusters.md

Updated alternatives

Author: yeturis

articles/hdinsight/hdinsight-autoscale-clusters.md

@@ -3,7 +3,7 @@ title: Automatically scale Azure HDInsight clusters
 description: Use the Autoscale feature to automatically scale Azure HDInsight clusters based on a schedule or performance metrics.
 ms.service: azure-hdinsight
 ms.topic: how-to
-ms.date: 05/22/2024
+ms.date: 05/20/2025
 author: yeturis
 ms.author: sairamyeturi
 ms.reviewer: nijelsf
@@ -300,6 +300,11 @@ If autoscale-enabled Interactive Query clusters, an autoscale up/down event also
 
 If the Interactive Query service is manually restarted, you need to manually change the `num_llap_node` configuration (the number of node(s) needed to run the Hive Interactive Query daemon) under *Advanced hive-interactive-env* to match the current active worker node count. Interactive Query Cluster supports only Schedule-Based Autoscale.
 
+### Alternatives
+1. Use the schedule-based autoscaling workflow so that the developers will have an opportunity to debug any job failures before the cluster is scaled down.
+1. Use the "yarn logs" command in the Azure CLI.
+1. Use an open source converter to translate the Tfile formatted logs in the Azure Storage account to plain text.
+
 ## Next steps
 
 Read about guidelines for scaling clusters manually in [Scaling guidelines](hdinsight-scaling-best-practices.md).