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better example for ACR under VNET
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articles/machine-learning/how-to-secure-online-endpoint.md

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@@ -125,7 +125,7 @@ To restrict communication between a deployment and external resources, including
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> You cannot update (enable or disable) the `egress_public_network_access` flag after creating the deployment. Attempting to change the flag while updating the deployment will fail with an error.
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> [!NOTE]
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> For online deployments with `egress_public_network_access` flag set to `disabled`, access from the deployments to Microsoft Container Registry (MCR) is restricted. If you want to leverage container images from MCR (such as when using curated environment or mlflow no-code deployment), recommendation is to push the images into the Azure Container Registry (ACR) which is attached with the workspace. The images in this ACR is accessible to secured deployments via the private endpoints which are automatically created on behalf of you when you set `egress_public_network_access` flag to `disabled`. For a quick example, please refer to this [custom container example](https://github.com/Azure/azureml-examples/tree/main/cli/endpoints/online/custom-container/minimal/single-model).
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> For online deployments with `egress_public_network_access` flag set to `disabled`, access from the deployments to Microsoft Container Registry (MCR) is restricted. If you want to leverage container images from MCR (such as when using curated environment or mlflow no-code deployment), recommendation is to build the image locally inside the VNET ([docker build](https://docs.docker.com/engine/reference/commandline/build/)) and push the image into the private Azure Container Registry (ACR) which is attached with the workspace (for instance, using [docker push](../container-registry/container-registry-get-started-docker-cli.md#push-the-image-to-your-registry)). The images in this ACR is accessible to secured deployments via the private endpoints which are automatically created on behalf of you when you set `egress_public_network_access` flag to `disabled`. For a quick example, please refer to [build image under VNET](https://github.com/Azure/azureml-examples/blob/main/cli/endpoints/online/managed/vnet/setup_vm/scripts/build_image.sh) and [end to end example for model deployment under VNET](https://github.com/Azure/azureml-examples/blob/main/cli/deploy-moe-vnet.sh).
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# [Azure CLI](#tab/cli)
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