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In Kafka event sourcing, how does the event log contribute to state reconstruction?

easy📝 Conceptual Q2 of 15
Kafka - Event-Driven Architecture
In Kafka event sourcing, how does the event log contribute to state reconstruction?
AIt stores all state changes as immutable events to replay and rebuild state
BIt caches the latest state snapshot for quick access
CIt filters events to only keep the most recent update per entity
DIt deletes old events to reduce storage usage
Step-by-Step Solution
Solution:
  1. Step 1: Understand event log role

    The event log in Kafka stores all changes as immutable events.
  2. Step 2: State reconstruction

    Replaying these events allows rebuilding the current state from scratch.
  3. Final Answer:

    It stores all state changes as immutable events to replay and rebuild state -> Option A
  4. Quick Check:

    Event log = immutable event storage for replay [OK]
Quick Trick: Event log stores all changes immutably for replay [OK]
Common Mistakes:
MISTAKES
  • Confusing event log with snapshot storage
  • Thinking event log filters or deletes events
  • Assuming event log holds only latest state

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