Add note on identity usage for training and inferencing

Author: J-Silvestre

articles/machine-learning/how-to-identity-based-service-authentication.md

@@ -303,6 +303,9 @@ During a run there are two applications of an identity:
 
 To configure a kubernetes compute cluster, make sure that it has the [necessary AML extension deployed in it](https://learn.microsoft.com/azure/machine-learning/how-to-deploy-kubernetes-extension?view=azureml-api-2&tabs=deploy-extension-with-cli) and follow the documentation on [how to attach the kubernetes compute cluster to your AML workspace](https://learn.microsoft.com/azure/machine-learning/how-to-attach-kubernetes-to-workspace?view=azureml-api-2&tabs=cli).
 
+> [!IMPORTANT] 
+> For Training purposes (Machine Learning Jobs), the identity that is used is the one assigned to the Kubernetes Compute Cluster. However, in the case of inferencing (Managed Online Endpoints), the identity that is used is the one assigned to the endpoint. For more information see [How to Access Azure Resources from an Online Endpoint](https://learn.microsoft.com/azure/machine-learning/how-to-access-resources-from-endpoints-managed-identities?view=azureml-api-2&tabs=system-identity-cli).
+
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 ### Data storage