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Larry Franks
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updating links to v2
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articles/machine-learning/concept-vulnerability-management.md

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@@ -78,7 +78,7 @@ Compute instances get the latest VM images at the time of provisioning. Microsof
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* Data and customizations such as installed packages that are stored on the instance’s OS and temporary disks will be lost.
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* [Store notebooks under "User files"](./concept-compute-instance.md#accessing-files) to persist them when recreating your instance.
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* [Mount data using datasets and datastores](./v1/concept-azure-machine-learning-architecture.md#datasets-and-datastores) to persist files when recreating your instance.
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* [Mount data](how-to-customize-compute-instance.md) to persist files when recreating your instance.
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* See [Compute Instance release notes](azure-machine-learning-ci-image-release-notes.md) for details on image releases.
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1. Alternatively, regularly update OS and python packages.

articles/machine-learning/how-to-access-azureml-behind-firewall.md

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For more information on configuring application rules, see [Deploy and configure Azure Firewall](../firewall/tutorial-firewall-deploy-portal.md#configure-an-application-rule).
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1. To restrict outbound traffic for models deployed to Azure Kubernetes Service (AKS), see the [Restrict egress traffic in Azure Kubernetes Service](../aks/limit-egress-traffic.md) and [Deploy ML models to Azure Kubernetes Service](v1/how-to-deploy-azure-kubernetes-service.md#connectivity) articles.
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1. To restrict outbound traffic for models deployed to Azure Kubernetes Service (AKS), see the [Restrict egress traffic in Azure Kubernetes Service](../aks/limit-egress-traffic.md) and [Secure AKS inference environment](how-to-secure-kubernetes-inferencing-environment.md) articles.
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## Kubernetes Compute
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articles/machine-learning/how-to-identity-based-service-authentication.md

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By default, Azure Machine Learning can't communicate with a storage account that's behind a firewall or in a virtual network.
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You can configure storage accounts to allow access only from within specific virtual networks. This configuration requires extra steps to ensure data isn't leaked outside of the network. This behavior is the same for credential-based data access. For more information, see [How to configure virtual network scenarios](v1/how-to-access-data.md#virtual-network).
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You can configure storage accounts to allow access only from within specific virtual networks. This configuration requires extra steps to ensure data isn't leaked outside of the network. This behavior is the same for credential-based data access. For more information, see [How to prevent data exfiltration](how-to-prevent-data-loss-exfiltration.md).
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If your storage account has virtual network settings, that dictates what identity type and permissions access is needed. For example for data preview and data profile, the virtual network settings determine what type of identity is used to authenticate data access.
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articles/machine-learning/how-to-manage-workspace-cli.md

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> Authorize the __Machine Learning App__ (in Identity and Access Management) with contributor permissions on your subscription to manage the data encryption additional resources.
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> [!NOTE]
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> Azure Cosmos DB is __not__ used to store information such as model performance, information logged by experiments, or information logged from your model deployments. For more information on monitoring these items, see the [Monitoring and logging](v1/concept-azure-machine-learning-architecture.md) section of the architecture and concepts article.
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> Azure Cosmos DB is __not__ used to store information such as model performance, information logged by experiments, or information logged from your model deployments.
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> [!IMPORTANT]
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> Selecting high business impact can only be done when creating a workspace. You cannot change this setting after workspace creation.

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