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The exactly once guarantee in the Kafka Streams is for which flow of data?
Suggested Answer: A
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Latest means that data retrievals will start from where the offsets currently end
28 comments · newest first
SH
Shawnna
10 months ago
Nope, it's A for sure.
CE
Ceola
11 months ago
I thought it was Kafka => External!
HO
Howard
11 months ago
Wait, are we sure about that?
BA
Barabara
11 months ago
I agree, A is the right choice!
MA
Marlon
11 months ago
It's definitely Kafka => Kafka.
ED
Eden
12 months ago
I definitely saw a similar question before, and I think it was about Kafka to Kafka, but I could be mixing it up with something else.
DO
Dortha
12 months ago
I feel like the answer might be Kafka to external as well, but I can't recall the specifics from my notes.
LA
Lang
12 months ago
I remember practicing a question about data consistency in Kafka Streams, and it seemed like it was mostly focused on Kafka to external systems.
CU
Curt
1 year ago
I think the exactly once guarantee applies to Kafka to Kafka flows, but I'm not entirely sure.
GR
Gregoria
1 year ago
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.
AL
Alison
1 year ago
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.
CE
Cecilia
1 year ago
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.
AL
Alline
1 year ago
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.
JA
James
1 year ago
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.
JE
Jennifer
1 year ago
I remember learning about RMAN table recovery, but I'm a little fuzzy on the specifics. I'll make sure to read through the options closely.
MA
Marsha
1 year ago
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.
KE
Kerrie
1 year ago
I agree, C) External => Kafka seems like the right choice.
JE
Jeniffer
1 year ago
I'm leaning towards C) External => Kafka.
TR
Troy
1 year ago
I'm not so sure, I'll go with B) Kafka => External.
TA
Tandra
1 year ago
I think it's A) Kafka => Kafka.
BR
Broderick
1 year ago
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.
MY
Myra
1 year ago
Yes, that's right. It's important for maintaining data integrity and consistency in the external systems.
AM
Ammie
1 year ago
I agree, option B is correct. It ensures that data sent from Kafka to external systems is processed exactly once.
JE
Jerry
1 year ago
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?
KE
Kerrie
1 year ago
I believe the exactly once guarantee is for External => Kafka flow, as it ensures data consistency when bringing in external data.
KI
Kina
2 years ago
I think the exactly once guarantee in Kafka Streams is for the Kafka => Kafka flow of data. That's the whole point of the Kafka Streams API, right?
FR
Fredric
2 years ago
I agree with Ora, because Kafka => Kafka ensures no data loss or duplication.
OR
Ora
2 years ago
I think the exactly once guarantee is for Kafka => Kafka flow of data.