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What is the main risk of a split-brain scenario in a RabbitMQ cluster?

easy📝 Conceptual Q1 of 15
RabbitMQ - Clustering
What is the main risk of a split-brain scenario in a RabbitMQ cluster?
AData inconsistency between cluster nodes
BFaster message delivery
CAutomatic cluster scaling
DImproved network performance
Step-by-Step Solution
Solution:

  1. Step 1: Understand split-brain in RabbitMQ

    A split-brain occurs when network partitions cause cluster nodes to lose communication but continue operating independently.

  2. Step 2: Identify the main risk

    This leads to data inconsistency because each partition may accept different messages, causing conflicts when rejoining.

  3. Final Answer:

    Data inconsistency between cluster nodes -> Option A

  4. Quick Check:

    Split-brain risk = Data inconsistency [OK]
Quick Trick: Split-brain causes data conflicts, not performance gains [OK]
Common Mistakes:
MISTAKES
  • Confusing split-brain with performance improvements
  • Thinking split-brain helps scaling
  • Assuming network partitions improve delivery

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