You want to optimize Kafka for a high-throughput system with many small messages. Which tuning approach helps most?

hard📝 Application Q8 of 15

Kafka - Performance Tuning

AIncrease <code>batch.size</code> and <code>linger.ms</code> to batch small messages

BDecrease <code>batch.size</code> and set <code>linger.ms</code> to zero

CDisable batching and send messages immediately

DIncrease <code>fetch.min.bytes</code> to delay consumer fetches

Step-by-Step Solution

Solution:

Step 1: Understand batching small messages
Small messages benefit from batching to reduce network overhead.
Step 2: Use batch.size and linger.ms to batch
Increasing batch.size allows bigger batches; linger.ms adds delay to gather messages.
Final Answer:
Increase batch.size and linger.ms to batch small messages -> Option A
Quick Check:
Batching small messages = B [OK]

Quick Trick: Batch small messages by increasing batch.size and linger.ms [OK]

Common Mistakes:

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