I think the key here is understanding the exactly once guarantee in the context of Kafka Streams. Based on my knowledge, this guarantee applies to the data flow within the Kafka ecosystem, not to external systems. So I'll go with option A.
Okay, I've got this. The exactly once guarantee in Kafka Streams is for the data flow from Kafka to Kafka, not to or from external systems. I'm confident that option A is the correct answer.
Hmm, this seems tricky. The exactly once guarantee is an important concept in Kafka, but I'm not sure which specific flow of data it applies to. I'll have to review my notes on Kafka Streams to figure this out.
I think this is asking about the exactly once guarantee in Kafka Streams, so it's probably related to the data flow between Kafka and external systems. I'll need to think carefully about the options.
I'm a bit confused by this question. The exactly once guarantee is something I remember learning about, but I can't quite recall which direction of data flow it applies to. I'll have to think this through step-by-step.
Hold up, did someone say 'exactly once'? That's like a unicorn in the world of distributed systems! Good luck getting that to work in the real world. I'll just take a wild guess and go with C.
I'm going to have to go with option B. The exactly once guarantee is for the Kafka => External flow, where you want to make sure your downstream systems receive each message exactly once, without any duplicates.
Hmm, I'm not so sure about that. Doesn't the exactly once guarantee apply to the External => Kafka flow as well? I mean, you want to ensure exactly-once processing of data coming from external sources, don't you?
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