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Why does tuning Kafka's compression.type help handle production load better?

hard📝 Conceptual Q10 of 15
Kafka - Performance Tuning
Why does tuning Kafka's compression.type help handle production load better?
AIt disables batching to send messages immediately
BIt reduces network bandwidth and storage usage
CIt increases message size for faster sending
DIt limits the number of partitions per topic
Step-by-Step Solution
Solution:
  1. Step 1: Understand compression.type purpose

    Compression reduces the size of messages sent over the network and stored on disk.
  2. Step 2: Relate compression to production load

    Reducing size saves bandwidth and storage, improving performance under heavy load.
  3. Final Answer:

    It reduces network bandwidth and storage usage -> Option B
  4. Quick Check:

    Compression reduces resource use = C [OK]
Quick Trick: Compression saves bandwidth and storage [OK]
Common Mistakes:
MISTAKES
  • Thinking compression increases message size
  • Confusing compression with batching
  • Assuming compression limits partitions

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