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Confluent CCDAK Exam - Topic 1 Question 25 Discussion

Which of these joins does not require input topics to be sharing the same number of partitions?
C) KStream-GlobalKTable
A) KStream-KTable join
B) KStream-KStream join
D) KTable-KTable join

Confluent CCDAK Exam - Topic 1 Question 25 Discussion

Actual exam question for Confluent's CCDAK exam
Question #: 25
Topic #: 1
[All CCDAK Questions]

Which of these joins does not require input topics to be sharing the same number of partitions?

Show Suggested Answer Hide Answer
Suggested Answer: C

GlobalKTables have their datasets replicated on each Kafka Streams instance and therefore no repartitioning is required


by Gary at Sep 23, 2022, 02:00 AM

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Sunny
8 months ago
KStream-KStream definitely requires equal partitions.
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Thora
8 months ago
KStream-KTable join needs partition matching, right?
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Marshall
9 months ago
Wait, are you sure about that? Seems off to me.
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Malcolm
9 months ago
Totally agree, that's the right answer!
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Rutha
9 months ago
KStream-GlobalKTable doesn't need the same number of partitions.
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Shantell
9 months ago
I’m leaning towards KStream-GlobalKTable as the answer, since it seems like it can handle different partition counts based on what I studied.
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Hubert
9 months ago
I feel like KTable-KTable joins might also require matching partitions, but I can't recall the specifics.
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Phuong
9 months ago
I remember practicing a question about KStream-KStream joins, and I think they do need to have the same number of partitions.
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Candra
9 months ago
I think the KStream-GlobalKTable join might be the one that doesn't require the same number of partitions, but I'm not entirely sure.
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Caitlin
9 months ago
This question seems straightforward, but I want to make sure I understand the key elements of the risk management framework before selecting an answer.
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Cruz
10 months ago
I've done a few DV920 upgrades before, so I think I've got a good handle on this. The key is to focus on the required tasks and not get distracted by optional ones.
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