Six Kafka interview questions, asked one after another, with the follow-ups that separate a confident engineer from a memorized one. We answer all of them using a single order flowing through a real checkout service.
You will see exactly how an event lands in a partition, why the offset matters more than you think, how the same customer key always sticks to the same partition, what really happens when the broker holding your data goes down, and why "exactly once" is not what most people assume.
Watch through to Question 6, that is the one most candidates get wrong.
?Want to go deeper and get hands-on with Kafka? Check out our beginner-friendly course: https://kode.wiki/4eDaq5r
⏱️ Timestamps
00:00 - Q1: What problem does Kafka actually solve?
01:26 - Q2: How is data organized inside Kafka?
02:24 - Q3: Why do we split a topic into partitions?
03:30 - Q4: How do consumers split work without overlap?
05:02 - Q5: What happens when a broker goes down?
06:20 - Q6: Does Kafka process every order exactly once?
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