To ensure there is no single point of failure in Kafka, the most critical setting is the replication factor. By setting the replication factor to 3, each partition’s data is replicated across three brokers. This provides fault tolerance and ensures data remains available even if one or two brokers fail.

From Kafka documentation:

“A higher replication factor provides better fault tolerance. A replication factor of 3 is a common choice for production systems that prioritize availability and durability.”

A → Incorrect: min.insync.replicas=1 allows data to be acknowledged even if only one replica is in-sync — not resilient to broker failure.

B → Incorrect: More partitions increase parallelism, not redundancy.

C → Incorrect: linger.ms is a producer-side performance setting, unrelated to durability.

D → Correct: Ensures data is redundantly stored across brokers.

Page Reference:

Kafka: The Definitive Guide, 1st Edition, Chapter 6, p. 191–193

Apache Kafka Documentation: Topic-Level Configuration – replication.factor

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