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articles/machine-learning/how-to-enable-virtual-network.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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> 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, and data labeling.
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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, including:
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> - drag-n-drop designer
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> - UI for automated machine learning
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> - UI for data labeling
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> - UI for data sets
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>
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> If you try, you will receive an error when visualizing data from a storage account inside a virtual network similar to: `__Error: Unable to profile this dataset. This might be because your data is stored behind a virtual network or your data does not support profile.__`
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## What is a VNET?
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