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Why does the CQRS pattern in Kafka often use event sourcing alongside commands and queries?

hard📝 Conceptual Q10 of 15
Kafka - Event-Driven Architecture
Why does the CQRS pattern in Kafka often use event sourcing alongside commands and queries?
ATo avoid using Kafka producers
BTo store all changes as immutable events for audit and replay
CTo combine commands and queries into one operation
DTo reduce the number of Kafka topics needed
Step-by-Step Solution
Solution:
  1. Step 1: Understand event sourcing concept

    Event sourcing stores all state changes as a sequence of immutable events.
  2. Step 2: Relate event sourcing to CQRS in Kafka

    This allows audit trails, debugging, and rebuilding read models by replaying events.
  3. Final Answer:

    To store all changes as immutable events for audit and replay -> Option B
  4. Quick Check:

    Event sourcing = immutable event storage for audit [OK]
Quick Trick: Event sourcing stores all changes as events for replay [OK]
Common Mistakes:
  • Thinking event sourcing reduces topic count
  • Believing it merges commands and queries
  • Assuming it removes need for producers

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