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Answer: Enable the Exactly Once Delivery feature in the Azure Stream Analytics job configuration.
Azure Stream Analytics supports exactly-once delivery semantics for event processing. This can be enabled in the job configuration, ensuring that each event is processed only once, even in the case of failures. This is particularly useful for scenarios where duplicate data must be avoided, such as in financial transactions or billing systems.
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In a scenario where you are tasked with processing real-time data streams using Azure Stream Analytics, how would you ensure that the data ingestion process avoids duplicates and guarantees exactly-once delivery semantics?
A
Use the checkpointing feature of Azure Stream Analytics to periodically save the state of the stream.
B
Implement a custom logic to track the unique identifiers of each event and filter out duplicates manually.
C
Configure the input data stream to have a unique partition key and use the Event Hub Capture feature.
D
Enable the Exactly Once Delivery feature in the Azure Stream Analytics job configuration.
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