Address feedback

Author: jlian

articles/iot-operations/connect-to-cloud/concept-schema-registry.md

@@ -85,7 +85,7 @@ Delta:
 
 To generate the schema from a sample data file, use the [Schema Gen Helper](https://azure-samples.github.io/explore-iot-operations/schema-gen-helper/).
 
-For a tutorial that uses the schema generator, see [Tutorial: Send data from an OPC UA server to Azure Data Lake Storage Gen 2](./tutorial-opcua-to-data-lake.md).
+For a tutorial that uses the schema generator, see [Tutorial: Send data from an OPC UA server to Azure Data Lake Storage Gen 2](./tutorial-opc-ua-to-data-lake.md).
 
 ## How dataflows use message schemas
 

articles/iot-operations/connect-to-cloud/howto-configure-adlsv2-endpoint.md

@@ -450,4 +450,4 @@ dataLakeStorageSettings:
 ## Next steps
 
 - To learn more about dataflows, see [Create a dataflow](howto-create-dataflow.md).
-- To see a tutorial on how to use a dataflow to send data to Azure Data Lake Storage Gen2, see [Tutorial: Send data to Azure Data Lake Storage Gen2](./tutorial-opcua-to-data-lake.md).
+- To see a tutorial on how to use a dataflow to send data to Azure Data Lake Storage Gen2, see [Tutorial: Send data to Azure Data Lake Storage Gen2](./tutorial-opc-ua-to-data-lake.md).

articles/iot-operations/connect-to-cloud/howto-configure-dataflow-endpoint.md

@@ -29,7 +29,7 @@ Use the following table to choose the endpoint type to configure:
 | [Local storage](howto-configure-local-storage-endpoint.md) | For sending data to a locally available persistent volume, through which you can upload data via Azure Container Storage enabled by Azure Arc edge volumes. | No | Yes |
 
 > [!IMPORTANT]
-> Storage endpoints require a [schema for serialization](./concept-schema-registry.md). To use dataflow with Microsoft Fabric OneLake, Azure Data Lake Storage, Azure Data Explorer, or Local Storage, you must [specify schema reference](./howto-create-dataflow.md#serialize-data-according-to-a-schema).
+> Storage endpoints require a [schema for serialization](./concept-schema-registry.md). To use dataflow with Microsoft Fabric OneLake, Azure Data Lake Storage, Azure Data Explorer, or Local Storage, you must [specify a schema reference](./howto-create-dataflow.md#serialize-data-according-to-a-schema).
 > 
 > To generate the schema from a sample data file, use the [Schema Gen Helper](https://azure-samples.github.io/explore-iot-operations/schema-gen-helper/).
 

articles/iot-operations/connect-to-cloud/howto-create-dataflow.md

@@ -828,7 +828,7 @@ To configure a destination for the dataflow, specify the endpoint reference and
 To send data to a destination other than the local MQTT broker, create a dataflow endpoint. To learn how, see [Configure dataflow endpoints](howto-configure-dataflow-endpoint.md). If the destination isn't the local MQTT broker, it must be used as a source. To learn more about, see [Dataflows must use local MQTT broker endpoint](./howto-configure-dataflow-endpoint.md#dataflows-must-use-local-mqtt-broker-endpoint).
 
 > [!IMPORTANT]
-> Storage endpoints require a [schema for serialization](./concept-schema-registry.md). To use dataflow with Microsoft Fabric OneLake, Azure Data Lake Storage, Azure Data Explorer, or Local Storage, you must [specify schema reference](#serialize-data-according-to-a-schema).
+> Storage endpoints require a [schema for serialization](./concept-schema-registry.md). To use dataflow with Microsoft Fabric OneLake, Azure Data Lake Storage, Azure Data Explorer, or Local Storage, you must [specify a schema reference](#serialize-data-according-to-a-schema).
 
 # [Portal](#tab/portal)