Which of the following best explains how KStream and KTable differ in their data representation within Kafka Streams?

easy🧠 Conceptual Q1 of Q15

Kafka - Streams

Which of the following best explains how KStream and KTable differ in their data representation within Kafka Streams?

A<code>KStream</code> processes only windowed data, while <code>KTable</code> processes unwindowed data.

B<code>KStream</code> stores data as a key-value store, whereas <code>KTable</code> stores data as an immutable log.

<code>KStream</code> represents a continuous stream of records, while <code>KTable</code> represents a snapshot of the latest state for each key.

D<code>KStream</code> can only read from topics, but <code>KTable</code> can only write to topics.

Step-by-Step Solution

Solution:

Step 1: Understand KStream
KStream models an unbounded, continuously updating stream of records, where each record is an independent event.
Step 2: Understand KTable
KTable models a changelog stream that represents the latest value for each key, effectively a snapshot of state.
Final Answer:
KStream represents a continuous stream of records, while KTable represents a snapshot of the latest state for each key. correctly captures the fundamental difference between KStream and KTable.
Quick Check:
KStream = event stream, KTable = latest state [OK]

Quick Trick: KStream = events, KTable = latest state snapshot [OK]

Common Mistakes:

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