How does Kafka achieve high availability?

The correct answer is B. By automatic leadership election for partitions in case of broker failure. Kafka maintains high availability by replicating partitions across brokers and performing automatic leader election when a broker fails. An in-sync replica is promoted to leader, allowing reads and writes to continue without interruption.

Managing Brokers and Clusters

Question

Options

ABy preventing any form of data replication
BBy automatic leadership election for partitions in case of broker failure
CBy using a round-robin method to distribute messages evenly across consumers
DBy implementing a single active master node at all times

How the community answered

(56 responses)

A
4% (2)
B
77% (43)
C
7% (4)
D
13% (7)

Explanation

Kafka maintains high availability by replicating partitions across brokers and performing automatic leader election when a broker fails. An in-sync replica is promoted to leader, allowing reads and writes to continue without interruption.

Topics

#high availability#leader election#broker failure#partition leadership

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