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Update how-to-enable-virtual-network.md
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articles/machine-learning/how-to-enable-virtual-network.md

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# Secure machine learning lifecycle in a private virtual network
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# Secure your machine learning lifecycles in private virtual networks
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[!INCLUDE [applies-to-skus](../../includes/aml-applies-to-basic-enterprise-sku.md)]
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In this article, you'll learn how to isolate experimentation/training jobs and inference/scoring jobs in Azure Machine Learning within an Azure Virtual Network (vnet). You'll also learn about some *advanced security settings*, information that isn't necessary for basic or experimental use cases.
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> [!WARNING]
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> Microsoft does not support using the Azure Machine Learning Studio features such as Automated ML, Datasets, Data labeling, Designer, and Notebooks if the underlying storage has virtual network enabled.
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> If your underlying storage is in a virtual network, users will not be able to use Azure Machine Learning's studio web experience for drag-n-drop designer, the UI for automated machine learning, data labeling, and so on.
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## What is a VNET?
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