Merge pull request #121527 from J-Silvestre/main

Main

Author: Court72

articles/machine-learning/how-to-package-models.md

@@ -230,21 +230,21 @@ You can create model packages in Azure Machine Learning, using the Azure CLI or
 
 ## Package a model that has dependencies in private Python feeds
 
-Model packages can resolve Python dependencies that are available in private feeds. To use this capability, you need to create a connection from your workspace to the feed and specify the credentials. The following Python code shows how you can configure the workspace where you're running the package operation.
+Model packages can resolve Python dependencies that are available in private feeds. To use this capability, you need to create a connection from your workspace to the feed and specify the PAT token configuration. The following Python code shows how you can configure the workspace where you're running the package operation.
 
 ```python
 from azure.ai.ml.entities import WorkspaceConnection
-from azure.ai.ml.entities import SasTokenConfiguration
+from azure.ai.ml.entities import PatTokenConfiguration
 
 # fetching secrets from env var to secure access, these secrets can be set outside or source code
-python_feed_sas = os.environ["PYTHON_FEED_SAS"]
+git_pat = os.environ["GIT_PAT"]
 
-credentials = SasTokenConfiguration(sas_token=python_feed_sas)
+credentials = PatTokenConfiguration(pat=git_pat)
 
 ws_connection = WorkspaceConnection(
-    name="<connection_name>",
-    target="<python_feed_url>",
-    type="python_feed",
+    name="<workspace_connection_name>",
+    target="<git_url>",
+    type="git",
     credentials=credentials,
 )
 

articles/machine-learning/how-to-secure-workspace-vnet.md

@@ -311,6 +311,12 @@ Azure Container Registry can be configured to use a private endpoint. Use the fo
 
     ---
 
+> [!TIP]
+> If you have configured your image build compute to use a compute cluster and want to reverse this decision, execute the same command but leave the image-build-compute reference empty:
+> ```azurecli
+>   az ml workspace update --name myworkspace --resource-group myresourcegroup --image-build-compute ''
+>    ```
+
 > [!TIP]
 > When ACR is behind a VNet, you can also [disable public access](../container-registry/container-registry-access-selected-networks.md#disable-public-network-access) to it.