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Why does Kafka Streams use changelog topics for persistent state stores?

hard📝 Conceptual Q10 of 15
Kafka - Advanced Stream Processing
Why does Kafka Streams use changelog topics for persistent state stores?
ATo enable fault-tolerance by replaying state changes on failure
BTo speed up processing by caching data in memory
CTo replicate data across Kafka brokers for load balancing
DTo compress state store data for storage efficiency
Step-by-Step Solution
Solution:

  1. Step 1: Understand changelog topic purpose

    Changelog topics record all state changes to allow recovery after failure.

  2. Step 2: Differentiate from other Kafka features

    Caching, replication, and compression are separate concerns not handled by changelog topics.

  3. Final Answer:

    To enable fault-tolerance by replaying state changes on failure -> Option A

  4. Quick Check:

    Changelog topics = fault-tolerance mechanism [OK]
Quick Trick: Changelog topics replay state changes for recovery [OK]
Common Mistakes:
MISTAKES
  • Thinking changelog speeds up processing
  • Confusing changelog with data replication
  • Assuming changelog compresses data

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