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Merge pull request #273720 from Blackmist/233256-registry-network
removing limitation
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articles/machine-learning/how-to-registry-network-isolation.md

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author: fkriti
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ms.author: kritifaujdar
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ms.reviewer: larryfr
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ms.date: 05/23/2023
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ms.date: 04/29/2024
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ms.topic: how-to
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---
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:::image type="content" source="./media/how-to-registry-network-isolation/basic-network-isolation-registry.png" alt-text="Diagram of registry connected to Virtual network containing workspace and associated resources using private endpoint.":::
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## Limitations
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If you are using an Azure Machine Learning registry with network isolation, you won't be able to see the assets in Studio. You also won't be able to perform any operations on Azure Machine Learning registry or assets under it using Studio. Please use the Azure Machine Learning CLI or SDK instead.
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If you are using an Azure Machine Learning registry with network isolation, you can view *model* assets in Azure Machine Learning studio. You won't be able to view other types of assets. You won't be able to perform any operations on Azure Machine Learning registry or assets under it using studio. Please use the Azure Machine Learning CLI or SDK instead.
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## Scenario: workspace configuration is secure and Azure Machine Learning registry is public
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This section describes the scenarios and required network configuration if you have a secure workspace configuration but using a public registry.
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> Sharing a component from Azure Machine Learning workspace to Azure Machine Learning registry is not supported currently.
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Due to data exfiltration protection, it isn't possible to share an asset from secure workspace to a public registry if the storage account containing the asset has public access disabled. To enable asset sharing from workspace to registry:
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* Go to the **Networking** blade on the storage account attached to the workspace (from where you would like to allow sharing of assets to registry)
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* Go to the **Networking** section of the storage account attached to the workspace (from where you would like to allow sharing of assets to registry)
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* Set __Public network access__ to **Enabled from selected virtual networks and IP addresses**
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* Scroll down and go to __Resource instances__ section. Select __Resource type__ to **Microsoft.MachineLearningServices/registries** and set __Instance name__ to the name of Azure Machine Learning registry resource were you would like to enable sharing to from workspace.
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* Make sure to check rest of the settings as per your network configuration.
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> Sharing a component from Azure Machine Learning workspace to Azure Machine Learning registry is not supported currently.
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Due to data exfiltration protection, it isn't possible to share an asset from secure workspace to a private registry if the storage account containing the asset has public access disabled. To enable asset sharing from workspace to registry:
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* Go to the **Networking** blade on the storage account attached to the workspace (from where you would like to allow sharing of assets to registry)
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* Go to the **Networking** section of the storage account attached to the workspace (from where you would like to allow sharing of assets to registry)
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* Set __Public network access__ to **Enabled from selected virtual networks and IP addresses**
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* Scroll down and go to __Resource instances__ section. Select __Resource type__ to **Microsoft.MachineLearningServices/registries** and set __Instance name__ to the name of Azure Machine Learning registry resource were you would like to enable sharing to from workspace.
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* Make sure to check rest of the settings as per your network configuration.

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