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

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@@ -1080,13 +1080,13 @@ kubectl get dataflow my-dataflow -o yaml > my-dataflow.yaml
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To ensure the dataflow is working as expected, verify the following:
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- The default MQTT dataflow endpoint [must be used as *either* the source or destination](./howto-configure-dataflow-endpoint.md#dataflows-must-use-local-mqtt-broker-endpoint).
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- The dataflow profile exists and is referenced in the dataflow configuration.
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- The default MQTT dataflow endpoint [must be used as either the source or destination](./howto-configure-dataflow-endpoint.md#dataflows-must-use-local-mqtt-broker-endpoint).
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- The [dataflow profile](./howto-configure-dataflow-profile.md) exists and is referenced in the dataflow configuration.
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- Source is either an MQTT endpoint, Kafka endpoint, or an asset. [Storage type endpoints can't be used as a source](./howto-configure-dataflow-endpoint.md).
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- When using Event Grid as the source, the [dataflow profile instance count](./howto-configure-dataflow-profile.md#scaling) is set to 1 because Event Grid MQTT broker doesn't support shared subscriptions.
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- When using Event Hubs as the source, each event hub in the namespace is a separate Kafka topic and must be specified as the data source.
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- Transformation, if used, is configured with proper syntax, including consideration for proper [escapaing of special characters](./concept-dataflow-mapping.md#escaping).
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- When using storage type endpoints as destination, a [schema reference is specified](#serialize-data-according-to-a-schema).
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- Transformation, if used, is configured with proper syntax, including proper [escaping of special characters](./concept-dataflow-mapping.md#escaping).
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- When using storage type endpoints as destination, a [schema is specified](#serialize-data-according-to-a-schema).
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## Next steps
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