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Copy file name to clipboardExpand all lines: articles/iot-operations/connect-to-cloud/howto-configure-fabric-endpoint.md
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@@ -24,6 +24,8 @@ To send data to Microsoft Fabric OneLake in Azure IoT Operations Preview, you ca
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-**Microsoft Fabric OneLake**. See the following steps to create a workspace and lakehouse.
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-[Create a workspace](/fabric/get-started/create-workspaces). The default *my workspace* isn't supported.
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-[Create a lakehouse](/fabric/onelake/create-lakehouse-onelake).
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- If shown, ensure *Lakehouse schemas (Public Preview)* is **unchecked**.
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- Make note of the workspace and lakehouse names.
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## Create a Microsoft Fabric OneLake dataflow endpoint
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The following authentication methods are available for Microsoft Fabric OneLake dataflow endpoints. For more information about enabling secure settings by configuring an Azure Key Vault and enabling workload identities, see [Enable secure settings in Azure IoT Operations Preview deployment](../deploy-iot-ops/howto-enable-secure-settings.md).
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Before you create the dataflow endpoint, assign workspace *Contributor* role to the IoT Operations extension that grants permission to write to the Fabric lakehouse.
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To learn more, see [Give access to a workspace](/fabric/get-started/give-access-workspaces).
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#### System-assigned managed identity
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Using the system-assigned managed identity is the recommended authentication method for Azure IoT Operations. Azure IoT Operations creates the managed identity automatically and assigns it to the Azure Arc-enabled Kubernetes cluster. It eliminates the need for secret management and allows for seamless authentication with Azure Data Explorer.
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Before you create the dataflow endpoint, assign a role to the managed identity that grants permission to write to the Fabric lakehouse. To learn more, see [Give access to a workspace](/fabric/get-started/give-access-workspaces).
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