Update how-to-secure-workspace-vnet.md

Author: J-Silvestre

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

@@ -273,6 +273,8 @@ Azure Container Registry can be configured to use a private endpoint. Use the fo
     az ml workspace update --name myworkspace --resource-group myresourcegroup --image-build-compute mycomputecluster
     ```
 
+    You can switch back to serverless compute by executing the same command and leaving the `mycomputecluster` reference empty.
+
     # [Python SDK](#tab/python)
 
     The following code snippet demonstrates how to update the workspace to set a build compute using the [Azure Machine Learning SDK](/python/api/overview/azure/ai-ml-readme). Replace `mycomputecluster` with the name of the cluster to use:
@@ -297,7 +299,8 @@ Azure Container Registry can be configured to use a private endpoint. Use the fo
     # Update to use cpu-cluster for image builds
     ws.image_build_compute="cpu-cluster"
     ml_client.workspaces.begin_update(ws)
-    # To switch back to using ACR to build (if ACR is not in the VNet):
+    
+    # To switch back to serverless compute:
     # ws.image_build_compute = ''
     # ml_client.workspaces.begin_update(ws)
     ```
@@ -311,12 +314,6 @@ 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.