Update continuous-integration-delivery.md

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Author: ssabat

articles/data-factory/continuous-integration-delivery.md

@@ -6,7 +6,7 @@ author: kromerm
 ms.author: makromer
 ms.reviewer: jburchel
 ms.topic: conceptual
-ms.date: 01/29/2025
+ms.date: 02/27/2025
 ms.custom:
 ---
 
@@ -32,7 +32,7 @@ Below is a sample overview of the CI/CD lifecycle in an Azure data factory that'
 
 1. A development data factory is created and configured with Azure Repos Git. All developers should have permission to author Data Factory resources like pipelines and datasets.
 
-1. A developer [creates a feature branch](source-control.md#creating-feature-branches) to make a change. They debug their pipeline runs with their most recent changes. For more information on how to debug a pipeline run, see [Iterative development and debugging with Azure Data Factory](iterative-development-debugging.md).
+1. A developer [creates a feature branch](source-control.md#creating-feature-branches) to make a change. Signed commits are not supported in data factory. They debug their pipeline runs with their most recent changes. For more information on how to debug a pipeline run, see [Iterative development and debugging with Azure Data Factory](iterative-development-debugging.md). 
 
 1. After a developer is satisfied with their changes, they create a pull request from their feature branch to the main or collaboration branch to get their changes reviewed by peers.