Merge pull request #222762 from saachigopal/patch-32

Update how-to-administrate-data-authentication.md

Author: prmerger-automator[bot]

articles/machine-learning/how-to-administrate-data-authentication.md

@@ -44,7 +44,7 @@ In general, data access from studio involves the following checks:
     - Storage: Does the storage allow public access, or does it restrict access through a service endpoint or a private endpoint?
 * What operation is being performed?
     - Create, read, update, and delete (CRUD) operations on a data store/dataset are handled by Azure Machine Learning.
-    - The following RBAC operation must be enabled to archive data assets in the Studio: Microsoft.MachineLearningServices/workspaces/datasets/registered/delete
+    - Archive operation on data assets in the Studio requires the following RBAC operation: Microsoft.MachineLearningServices/workspaces/datasets/registered/delete
     - Data Access calls (such as preview or schema) go to the underlying storage and need extra permissions.
 * Where is this operation being run; compute resources in your Azure subscription or resources hosted in a Microsoft subscription?
     - All calls to dataset and datastore services (except the "Generate Profile" option) use resources hosted in a __Microsoft subscription__ to run the operations.