Kafka Interview Questions


Certainly! Here are ten Kafka interview questions that can help you assess a candidate’s understanding of Apache Kafka:

  1. What is Apache Kafka, and what role does it play in a distributed system?
    • This question tests the candidate’s fundamental knowledge of Kafka and its purpose in a distributed architecture.
  2. Explain the key components of Kafka architecture.
    • Look for an answer that mentions components like producers, consumers, brokers, topics, partitions, and Zookeeper (if applicable).
  3. What is a Kafka topic, and how does it differ from a partition?
    • This tests the candidate’s understanding of the basic building blocks in Kafka and their respective roles.
  4. How does Kafka ensure fault tolerance?
    • Look for an explanation of features like replication, leader-follower architecture, and how Kafka handles node failures.
  5. Explain the concept of Kafka partitioning.
    • Candidates should understand how data is distributed across multiple partitions and the implications of partitioning in terms of parallelism and scalability.
  6. What is the role of Zookeeper in Kafka?
    • If the candidate mentions Zookeeper, they should explain its role in managing distributed brokers and maintaining metadata.
  7. How does Kafka guarantee message ordering within a partition?
    • Candidates should be familiar with the concept of a log append structure and how Kafka maintains the order of messages within a partition.
  8. Describe the difference between a Kafka producer and a consumer.
    • Assess the candidate’s understanding of the roles and responsibilities of producers and consumers in the Kafka ecosystem.
  9. What is the significance of the offset in Kafka?
    • Candidates should explain how offsets are used to track the position of a consumer within a partition and ensure message delivery semantics.
  10. Can you explain Kafka’s exactly-once semantics?
    • This question assesses the candidate’s understanding of Kafka’s message delivery guarantees, specifically the challenges and mechanisms for achieving exactly-once semantics.

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