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articles/machine-learning/how-to-manage-registries.md

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---
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title: Create and manage registries
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titleSuffix: Azure Machine Learning
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description: Learn how create registries with the CLI, REST API, Azure portal, and Azure Machine Learning studio
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description: Learn how create Azure Machine Learning registries with the CLI, REST API, Azure portal, and Azure Machine Learning studio.
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services: machine-learning
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ms.service: azure-machine-learning
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ms.subservice: mlops
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ms.author: larryfr
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author: Blackmist
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ms.reviewer: kritifaujdar
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ms.date: 08/19/2024
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ms.date: 10/10/2024
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ms.topic: how-to
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ms.custom: build-2023
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# Customer intent: As an admin, I want to understand how to create and manage Azure Machine Learning registries so that I can share assets across workspaces.
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# Manage Azure Machine Learning registries
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# [REST API](#tab/rest)
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> [!TIP]
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> You need the **curl** utility to complete this step. The **curl** program is available in the [Windows Subsystem for Linux](/windows/wsl/install-win10) or any UNIX distribution. In PowerShell, **curl** is an alias for **Invoke-WebRequest** and `curl -d "key=val" -X POST uri` becomes `Invoke-WebRequest -Body "key=val" -Method POST -Uri uri`.
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> You need the __curl__ utility to complete this step. The __curl__ program is available in the [Windows Subsystem for Linux](/windows/wsl/install-win10) or any UNIX distribution. In PowerShell, __curl__ is an alias for __Invoke-WebRequest__ and `curl -d "key=val" -X POST uri` becomes `Invoke-WebRequest -Body "key=val" -Method POST -Uri uri`.
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To authenticate REST API calls, you need an authentication token for your Azure user account. You can use the following command to retrieve a token:
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Microsoft.MachineLearningServices/registries/delete | Allows the user to delete registries
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## Next steps
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## Related content
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* [Learn how to share models, components, and environments across workspaces with registries](./how-to-share-models-pipelines-across-workspaces-with-registries.md)
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* [Network isolation with registries](./how-to-registry-network-isolation.md)

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