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Fix link typo, remove redundant info
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articles/iot-operations/connect-to-cloud/howto-configure-adx-endpoint.md

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The following authentication methods are available for Azure Data Explorer 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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To use these authentication methods, the Azure IoT Operations Arc extension must be given **Ingestor** permissions on the Azure Data Explorer database. For more information, see [Manage Azure Data Explorer database permissions](/azure/data-explorer/manage-database-permissions.md).
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### Permissions
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To use these authentication methods, the Azure IoT Operations Arc extension must be given **Ingestor** permission on the Azure Data Explorer database. For more information, see [Manage Azure Data Explorer database permissions](/azure/data-explorer/manage-database-permissions).
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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 Azure Data Explorer database. For more information on adding permissions, see [Manage Azure Data Explorer cluster permissions](/azure/data-explorer/manage-cluster-permissions).
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In the *DataflowEndpoint* resource, specify the managed identity authentication method. In most cases, you don't need to specify other settings. This configuration creates a managed identity with the default audience `https://api.kusto.windows.net`.
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# [Bicep](#tab/bicep)

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