Merge pull request #269596 from v-lanjunli/addnote

[SCOPED] add note

Author: v-ccolin

articles/synapse-analytics/spark/apache-spark-azure-log-analytics.md

@@ -14,6 +14,9 @@ ms.custom: references_regions
 
 In this tutorial, you learn how to enable the Synapse Studio connector that's built in to Log Analytics. You can then collect and send Apache Spark application metrics and logs to your [Log Analytics workspace](../../azure-monitor/logs/quick-create-workspace.md). Finally, you can use an Azure Monitor workbook to visualize the metrics and logs.
 
+> [!NOTE]
+> This feature is currently unavailable in the Spark 3.4 runtime but will be supported post-GA.
+
 ## Configure workspace information
 
 Follow these steps to configure the necessary information in Synapse Studio.

articles/synapse-analytics/spark/azure-synapse-diagnostic-emitters-azure-eventhub.md

@@ -16,6 +16,9 @@ The Synapse Apache Spark diagnostic emitter extension is a library that enables
 
 In this tutorial, you learn how to use the Synapse Apache Spark diagnostic emitter extension to emit Apache Spark applications’ logs, event logs, and metrics to your Azure Event Hubs.
 
+> [!NOTE]
+> This feature is currently unavailable in the Spark 3.4 runtime but will be supported post-GA.
+
 ## Collect logs and metrics to Azure Event Hubs
 
 ### Step 1: Create an Azure Event Hub instance

articles/synapse-analytics/spark/azure-synapse-diagnostic-emitters-azure-storage.md

@@ -16,6 +16,9 @@ The Synapse Apache Spark diagnostic emitter extension is a library that enables
 
 In this tutorial, you learn how to use the Synapse Apache Spark diagnostic emitter extension to emit Apache Spark applications’ logs, event logs, and metrics to your Azure storage account.
 
+> [!NOTE]
+> This feature is currently unavailable in the Spark 3.4 runtime but will be supported post-GA.
+
 ## Collect logs and metrics to storage account
 
 ### Step 1: Create a storage account