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Why might geo-replication introduce data consistency challenges in Kafka clusters?

hard📝 Conceptual Q10 of 15
Kafka - Multi-Datacenter and Replication
Why might geo-replication introduce data consistency challenges in Kafka clusters?
ABecause replication is asynchronous and can cause lag between clusters
BBecause Kafka does not support topic replication
CBecause MirrorMaker 2 deletes messages after replication
DBecause geo-replication requires identical hardware
Step-by-Step Solution
Solution:

  1. Step 1: Understand replication nature

    Geo-replication in Kafka is asynchronous, meaning data is copied with some delay.

  2. Step 2: Identify consistency impact

    This delay can cause temporary differences (lag) between clusters, leading to consistency challenges.

  3. Final Answer:

    Because replication is asynchronous and can cause lag between clusters -> Option A

  4. Quick Check:

    Asynchronous replication = possible data lag [OK]
Quick Trick: Asynchronous replication causes temporary data lag [OK]
Common Mistakes:
MISTAKES
  • Thinking Kafka lacks replication support
  • Believing MirrorMaker deletes messages
  • Assuming hardware must be identical

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