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articles/ai-studio/how-to/configure-private-link.md

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@@ -42,6 +42,13 @@ You get several Azure AI hub default resources in your resource group. You need
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Use one of the following methods to create an Azure AI hub resource with a private endpoint. Each of these methods __requires an existing virtual network__:
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# [Azure portal](#tab/azure-portal)
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1. From the [Azure portal](https://portal.azure.com), go to Azure AI Studio and choose __+ New Azure AI__.
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1. Choose network isolation mode in __Networking__ tab.
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1. Scroll down to __Workspace Inbound access__ and choose __+ Add__.
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1. Input required fields. When selecting the __Region__, select the same region as your virtual network.
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# [Azure CLI](#tab/cli)
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Create your Azure AI hub resource with the Azure AI CLI. Run the following command and follow the prompts. For more information, see [Get started with Azure AI CLI](cli-install.md).
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--zone-name privatelink.notebooks.azure.net
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```
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# [Azure portal](#tab/azure-portal)
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1. From the [Azure portal](https://portal.azure.com), go to Azure AI Studio and choose __+ New Azure AI__.
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1. Choose network isolation mode in __Networking__ tab.
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1. Scroll down to __Workspace Inbound access__ and choose __+ Add__.
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1. Input required fields. When selecting the __Region__, select the same region as your virtual network.
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---
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## Add a private endpoint to an Azure AI hub
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Use one of the following methods to add a private endpoint to an existing Azure AI hub:
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# [Azure portal](#tab/azure-portal)
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1. From the [Azure portal](https://portal.azure.com), select your Azure AI hub.
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1. From the left side of the page, select __Networking__ and then select the __Private endpoint connections__ tab.
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1. When selecting the __Region__, select the same region as your virtual network.
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1. When selecting __Resource type__, use `azuremlworkspace`.
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1. Set the __Resource__ to your workspace name.
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Finally, select __Create__ to create the private endpoint.
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# [Azure CLI](#tab/cli)
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Use the [Azure networking CLI commands](/cli/azure/network/private-endpoint#az-network-private-endpoint-create) to create a private link endpoint for the Azure AI hub.
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--zone-name 'privatelink.notebooks.azure.net'
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```
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# [Azure portal](#tab/azure-portal)
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1. From the [Azure portal](https://portal.azure.com), select your Azure AI hub.
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1. From the left side of the page, select __Networking__ and then select the __Private endpoint connections__ tab.
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1. When selecting the __Region__, select the same region as your virtual network.
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1. When selecting __Resource type__, use `azuremlworkspace`.
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1. Set the __Resource__ to your workspace name.
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Finally, select __Create__ to create the private endpoint.
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## Remove a private endpoint
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To remove a private endpoint, use the following information:
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# [Azure portal](#tab/azure-portal)
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1. From the [Azure portal](https://portal.azure.com), select your Azure AI hub.
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1. From the left side of the page, select __Networking__ and then select the __Private endpoint connections__ tab.
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1. Select the endpoint to remove and then select __Remove__.
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# [Azure CLI](#tab/cli)
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When using the Azure CLI, use the following command to remove the private endpoint:
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--resource-group <resource-group-name> \
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```
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# [Azure portal](#tab/azure-portal)
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1. From the [Azure portal](https://portal.azure.com), select your Azure AI hub.
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1. From the left side of the page, select __Networking__ and then select the __Private endpoint connections__ tab.
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1. Select the endpoint to remove and then select __Remove__.
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## Enable public access
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To enable public access, use the following steps:
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# [Azure CLI](#tab/cli)
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Not available in AI CLI, but you can use [Azure Machine Learning CLI](../../machine-learning/how-to-configure-private-link.md#enable-public-access). Use your Azure AI hub name as workspace name in Azure Machine Learning CLI.
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# [Azure portal](#tab/azure-portal)
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1. From the [Azure portal](https://portal.azure.com), select your Azure AI hub.
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1. From the left side of the page, select __Networking__ and then select the __Public access__ tab.
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1. Select __Enabled from all networks__, and then select __Save__.
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# [Azure CLI](#tab/cli)
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Not available in AI CLI, but you can use [Azure Machine Learning CLI](../../machine-learning/how-to-configure-private-link.md#enable-public-access). Use your Azure AI hub name as workspace name in Azure Machine Learning CLI.
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## Managed identity configuration

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