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What effect does increasing Kafka's num.partitions have on handling production load?

easy📝 Conceptual Q2 of 15
Kafka - Performance Tuning
What effect does increasing Kafka's num.partitions have on handling production load?
AIt reduces the size of each message
BIt decreases the number of consumers allowed
CIt increases parallelism and throughput
DIt disables message compression
Step-by-Step Solution
Solution:
  1. Step 1: Understand partitions in Kafka

    Partitions split a topic's data so multiple consumers can read in parallel.
  2. Step 2: Relate partitions to production load

    More partitions mean more parallel processing, increasing throughput under heavy load.
  3. Final Answer:

    It increases parallelism and throughput -> Option C
  4. Quick Check:

    Partitions increase throughput = A [OK]
Quick Trick: More partitions mean better parallel processing [OK]
Common Mistakes:
MISTAKES
  • Thinking partitions limit consumers
  • Confusing partitions with message size
  • Assuming partitions disable compression

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