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Merge pull request #289544 from PatAltimore/patricka-doe-release-aio-m3
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articles/iot-operations/connect-to-cloud/howto-configure-adlsv2-endpoint.md

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@@ -136,11 +136,19 @@ Then, create the *DataflowEndpoint* resource and specify the access token authen
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# [Portal](#tab/portal)
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1. In the Azure IoT Operations Preview portal, create a new dataflow or edit an existing dataflow by selecting the **Dataflows** tab. If creating a new dataflow, select a source for the dataflow.
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1. In the editor, select the destination dataflow endpoint.
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1. Choose the Azure Data Lake Storage Gen2 endpoint that you created previously.
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1. In the IoT Operations portal, select the **Dataflow endpoints** tab.
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1. Under **Create new dataflow endpoint**, select **Azure Data Lake Storage (2nd generation)** > **New**.
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1. Enter the following settings for the endpoint:
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:::image type="content" source="media/howto-configure-adlsv2-endpoint/dataflow-mq-adls.png" alt-text="Screenshot using operations experience to create a dataflow with an MQTT source and ADLS V2 destination.":::
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| Setting | Description |
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| --------------------- | ------------------------------------------------------------------------------------------------- |
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| Name | The name of the dataflow endpoint. |
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| Host | The hostname of the Azure Data Lake Storage Gen2 endpoint in the format `<account>.blob.core.windows.net`. Replace the account placeholder with the endpoint account name. |
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| Authentication method | The method used for authentication. Choose *Access token*. |
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| Synced secret name | The name of the Kubernetes secret that is synchronized with the ADLSv2 endpoint. |
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| Access token secret name | The name of the Kubernetes secret containing the SAS token. |
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1. Select **Apply** to provision the endpoint.
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# [Bicep](#tab/bicep)
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