Kafka MCQs – Kafka Architecture and Core Concepts

To build fast, reliable, and scalable systems using Kafka, it’s important to understand how its internal structure works. This chapter explains key components like brokers, topics, partitions, replication, consumer groups, offsets, and leader elections.

The multiple-choice questions (MCQs) in this section will help you understand Kafka’s inner workings. If you’re getting ready for interviews, certification exams, or designing big systems, learning these concepts is very important.

1.) What is the primary role of a Kafka broker?

A) Storing and serving Kafka topic data
B) Managing consumer groups
C) Reading messages only
D) Managing security policies

Answer: Option A

Explanation: A broker receives messages from producers and serves them to consumers.

2.) What is a Kafka cluster composed of?

A) One producer and one consumer
B) Multiple brokers
C) Single broker and Zookeeper only
D) Producers and consumers only

Answer: Option B

Explanation: A Kafka cluster consists of multiple brokers working together.

3.) Which component coordinates Kafka brokers in older versions?

A) Schema Registry
B) Kafka Connect
C) Zookeeper
D) Kafka Streams

Answer: Option C

Explanation: Zookeeper is used for broker coordination, leader election, and configuration management.

4.) What is the function of a partition in Kafka?

A) Encrypting data
B) Providing message durability
C) Authenticating producers
D) Scaling topics and preserving message order within it

Answer: Option D

Explanation: Partitions allow horizontal scaling and maintain the message order within a partition.

5.) What determines the uniqueness of a message in Kafka?

A) Timestamp
B) Partition and topic name
C) Offset within a partition
D) Broker ID

Answer: Option C

Explanation: The offset is a unique identifier for each message within a partition.

6.) What does replication in Kafka help achieve?

A) Faster production
B) Lower CPU usage
C) Fault tolerance and high availability
D) Reduced disk usage

Answer: Option C

Explanation: Replication ensures messages are available even if one broker fails.

7.) Who becomes the leader of a Kafka partition?

A) One replica among all replicas
B) A randomly chosen producer
C) Consumer group
D) Zookeeper

Answer: Option A

Explanation: Among the replicas, one is selected as the leader to handle read/write operations.

8.) Which broker handles all reads and writes for a partition?

A) Follower replica
B) Controller
C) Leader replica
D) None

Answer: Option C

Explanation: Only the leader replica is responsible for serving read and write requests.

9.) What does ISR stand for in Kafka?

A) Internal System Replication
B) In-Sync Replicas
C) Indexed Source Routing
D) Infinite Storage Records

Answer: Option B

Explanation: ISR is a set of replicas that are fully caught up with the leader.

10.) What happens when a broker fails in a Kafka cluster?

A) Consumers stop permanently
B) Leader election takes place among replicas
C) Producers stop producing
D) Kafka crashes

Answer: Option B

Explanation: Kafka automatically elects a new leader from ISR when the current leader fails.

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