Merge pull request #3434 from Blackmist/402352-fresh

freshness

Author: prmerger-automator[bot]

articles/machine-learning/v1/how-to-enable-app-insights.md

@@ -8,7 +8,7 @@ ms.subservice: mlops
 ms.author: larryfr
 author: Blackmist
 ms.reviewer: alehughes
-ms.date: 11/04/2022
+ms.date: 03/10/2025
 ms.topic: how-to
 ms.custom: UpdateFrequency5, devx-track-python, data4ml, sdkv1
 ---
@@ -213,15 +213,6 @@ For more information on how to use Azure Application Insights, see [What is Appl
 
 To log web service request information, add `print` statements to your score.py file. Each `print` statement results in one entry in the Application Insights trace table under the message `STDOUT`. Application Insights stores the `print` statement outputs in  `customDimensions` and in the `Contents` trace table. Printing JSON strings produces a hierarchical data structure in the trace output under `Contents`.
 
-## Export data for retention and processing
-
->[!Important]
-> Azure Application Insights only supports exports to blob storage. For more information on the limits of this implementation, see [Export telemetry from App Insights](/previous-versions/azure/azure-monitor/app/export-telemetry#continuous-export-advanced-storage-configuration).
-
-Use Application Insights' [continuous export](/previous-versions/azure/azure-monitor/app/export-telemetry) to export data to a blob storage account where you can define retention settings. Application Insights exports the data in JSON format. 
-
-:::image type="content" source="media/how-to-enable-app-insights/continuous-export-setup.png" alt-text="Continuous export":::
-
 ## Next steps
 
 In this article, you learned how to enable logging and view logs for web service endpoints. Try these articles for next steps: