Merge pull request #104671 from rayz90/main

Update reference to non-existing class

Author: American-Dipper

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

@@ -251,14 +251,14 @@ The following steps outline how to set up data access with user identity for tra
 
 1. Grant data access and create data store as described above for CLI.
 
-1. Submit a training job with identity parameter set to [azure.ai.ml.UserIdentity](/python/api/azure-ai-ml/azure.ai.ml.useridentity). This parameter setting enables the job to access data on behalf of user submitting the job.
+1. Submit a training job with identity parameter set to [azure.ai.ml.UserIdentityConfiguration](/python/api/azure-ai-ml/azure.ai.ml.useridentityconfiguration). This parameter setting enables the job to access data on behalf of user submitting the job.
 
     ```python
     from azure.ai.ml import command
     from azure.ai.ml.entities import Data, UriReference
     from azure.ai.ml import Input
     from azure.ai.ml.constants import AssetTypes
-    from azure.ai.ml import UserIdentity
+    from azure.ai.ml import UserIdentityConfiguration
 
     # Specify the data location
     my_job_inputs = {
@@ -272,7 +272,7 @@ The following steps outline how to set up data access with user identity for tra
         inputs=my_job_inputs,
         environment="AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:9",
         compute="<my-compute-cluster-name>",
-        identity= UserIdentity() 
+        identity= UserIdentityConfiguration() 
     )
     # submit the command
     returned_job = ml_client.jobs.create_or_update(job)