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Which Kafka feature is essential for implementing event sourcing?

easy📝 Syntax Q3 of 15
Kafka - Event-Driven Architecture
Which Kafka feature is essential for implementing event sourcing?
AKafka Streams for processing event logs
BKafka Connect for data integration only
CKafka Schema Registry for storing schemas only
DKafka MirrorMaker for replication only
Step-by-Step Solution
Solution:

  1. Step 1: Identify Kafka features related to event sourcing

    Kafka Streams processes event logs to build state from events.

  2. Step 2: Compare features

    Only Kafka Streams directly supports event sourcing processing.

  3. Final Answer:

    Kafka Streams for processing event logs -> Option A

  4. Quick Check:

    Kafka Streams = event log processing [OK]
Quick Trick: Use Kafka Streams to process and rebuild state from events [OK]
Common Mistakes:
  • Confusing Kafka Connect as event processor
  • Thinking Schema Registry processes events
  • Assuming MirrorMaker handles event sourcing logic

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