[Solved] How does the number of partitions in a Kafka topic affect message processing? — Ans: It determines the maximum parallelism for consumers reading the topic | Kafka

Kafka - Performance Tuning

How does the number of partitions in a Kafka topic affect message processing?

AIt determines the maximum parallelism for consumers reading the topic

BIt limits the total number of messages the topic can store

CIt controls the replication factor of the topic

DIt sets the maximum message size allowed in the topic

Step-by-Step Solution

Solution:

Step 1: Understand partitions
Partitions divide a topic into multiple logs that can be consumed independently.
Step 2: Parallelism effect
More partitions allow more consumers in a consumer group to read in parallel, increasing throughput.
Final Answer:
It determines the maximum parallelism for consumers reading the topic -> Option A
Quick Check:
Partitions enable parallel consumption [OK]

Quick Trick: Partitions enable parallel consumer processing [OK]

Common Mistakes:

MISTAKES

Master "Performance Tuning" in Kafka

9 interactive learning modes - each teaches the same concept differently

More Kafka Quizzes

How does the number of partitions in a Kafka topic affect message processing?