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

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@@ -132,7 +132,7 @@ Before following the steps in this article, make sure you have the following pre
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## Configure a managed virtual network to allow internet outbound
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> [!IMPORTANT]
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> The creation of the managed virtual network is deferred until a compute resource is created or provisioning is manually started. If you want to provision the managed virtual network and private endpoints, use the `az ml workspace provision` command from the Azure CLI. For example, `az ml workspace provision --name ws --resource-group rg`.
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> The creation of the managed virtual network is deferred until a compute resource is created or provisioning is manually started. If you want to provision the managed virtual network and private endpoints, use the `az ml workspace provision-network` command from the Azure CLI. For example, `az ml workspace provision-network --name ws --resource-group rg`.
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>
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> __If you plan to submit serverless spark jobs__, you must manually start provisioning. For more information, see the [configure for serverless spark jobs](#configure-for-serverless-spark-jobs) section.
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## Configure a managed virtual network to allow only approved outbound
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> [!IMPORTANT]
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> The creation of the managed virtual network is deferred until a compute resource is created or provisioning is manually started. If you want to provision the managed virtual network and private endpoints, use the `az ml workspace provision` command from the Azure CLI. For example, `az ml workspace provision --name ws --resource-group rg`.
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> The creation of the managed virtual network is deferred until a compute resource is created or provisioning is manually started. If you want to provision the managed virtual network and private endpoints, use the `az ml workspace provision-network` command from the Azure CLI. For example, `az ml workspace provision-network --name ws --resource-group rg`.
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>
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> __If you plan to submit serverless spark jobs__, you must manually start provisioning. For more information, see the [configure for serverless spark jobs](#configure-for-serverless-spark-jobs) section.
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