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Update how-to-troubleshoot-managed-network.md
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articles/machine-learning/how-to-troubleshoot-managed-network.md

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@@ -19,7 +19,7 @@ This article provides information on troubleshooting common issues with Azure Ma
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## Can I still use an Azure Virtual Network?
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Yes, you can still use an Azure Virtual Network for network isolation. If you're using the v2 __Azure CLI__ and __Python SDK__, the process is the same as before the introduction of the managed virtual network feature. The process through the Azure portal has changed slightly.
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Yes, you can still use an Azure Virtual Network for network isolation. If you're using the v2 __Azure CLI__ and __Python SDK__, the process is the same as before the introduction of the managed virtual network feature. The process through the Azure portal changed slightly.
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To use an Azure Virtual Network when creating a workspace through the Azure portal, use the following steps:
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When you create a managed virtual network, the operation can fail with an error similar to the following text:
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"The client '\<GUID\>' with object id '\<GUID\>' does not have authorization to perform action 'Microsoft.MachineLearningServices/workspaces/privateEndpointConnections/read' over scope '/subscriptions/\<GUID\>/resourceGroups/\<resource-group-name\>/providers/Microsoft.MachineLearningServices/workspaces/\<workspace-name\>' or the scope is invalid."
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"The client '\<GUID\>' with object id '\<GUID\>' doesn't have authorization to perform action 'Microsoft.MachineLearningServices/workspaces/privateEndpointConnections/read' over scope '/subscriptions/\<GUID\>/resourceGroups/\<resource-group-name\>/providers/Microsoft.MachineLearningServices/workspaces/\<workspace-name\>' or the scope is invalid."
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This error occurs when the Azure identity used to create the managed virtual network doesn't have the following Azure role-based access control permissions:
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## Troubleshoot configurations on connecting to storage
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When you create a workspace, required outbound rules to Azure storage are auto-created for data upload scenarios and artifact storage. Ensure your Azure storage is set-up correct by checked with the following steps:
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When you create a workspace, required outbound rules to Azure storage are autocreated for data upload scenarios and artifact storage. Ensure your Azure storage is set up correct by checked with the following steps:
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1. In Azure Portal, check the network settings of the storage account that is associated to your hub.
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1. In Azure portal, check the network settings of the storage account that is associated to your hub.
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* If public network access is set to __Enabled from selected virtual networks and IP addresses__, ensure the correct IP address ranges are added to access your storage account.
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* If public network access is set to __Disabled__, ensure you have a private endpoint configured from your Azure virtual network to your storage account with Target sub-resource as blob. In addition, you must grant the [Reader](/azure/role-based-access-control/built-in-roles#reader) role for the storage account private endpoint to the managed identity.
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2. In Azure Portal, navigate to your Azure Machine Learning workspace. Ensure the managed virtual network is provisioned and the outbound private endpoint to blob storage is Active.
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* If public network access is set to __Disabled__, ensure you have a private endpoint configured from your Azure virtual network to your storage account with Target subresource as blob. In addition, you must grant the [Reader](/azure/role-based-access-control/built-in-roles#reader) role for the storage account private endpoint to the managed identity.
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2. In Azure portal, navigate to your Azure Machine Learning workspace. Ensure the managed virtual network is provisioned and the outbound private endpoint to blob storage is Active.
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## Next steps
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