Ace Your Kafka Interview: Top 50 Questions and Answers

In the ever-evolving world of big data and real-time data streaming, Apache Kafka has emerged as a game-changer, revolutionizing how organizations handle and process large volumes of data. With its scalable, fault-tolerant, and high-performance capabilities, Kafka has become a go-to technology for many companies. Consequently, the demand for skilled Kafka professionals has skyrocketed, making Kafka interviews a crucial stage in the hiring process.

Whether you’re a seasoned Kafka professional or just starting your journey, acing a Kafka interview requires a deep understanding of the technology and its nuances. In this comprehensive article, we’ve compiled the top 50 Kafka interview questions and answers to help you prepare for your next interview and stand out from the competition.

Basic Kafka Interview Questions

Let’s start with the foundational Kafka interview questions that test your understanding of the core concepts and functionalities.

  1. What is the role of the offset in Kafka?
    In Kafka partitions, messages are assigned a unique ID number called the offset. The role of the offset is to uniquely identify each message within a partition.

  2. Can Kafka be used without ZooKeeper?
    No, it is not possible to directly connect to the Kafka server by bypassing ZooKeeper. Any client request cannot be serviced if ZooKeeper is down.

  3. Why are replications critical in Kafka?
    Replications are critical in Kafka as they ensure that published messages can be consumed in the event of any program error, machine failure, or regular software upgrades, preventing data loss.

  4. What is a partitioning key in Kafka?
    The partitioning key indicates the destination partition of the message within the producer. A hashing-based partitioner determines the partition ID when a key is provided.

  5. What is the critical difference between Apache Flume and Kafka?
    While both are used for real-time data processing, Kafka ensures more durability and scalability than Flume.

  6. **When does the QueueFullException

Kafka Interview questions and answers for 2024 for Experienced | Code Decode [ MOST ASKED ] | Part-1

FAQ

What are the 4 major Kafka APIs?

There are five major APIs in Kafka: Producer API – Permits an application to publish streams of records. Consumer API – Permits an application to subscribe to topics and processes streams of records. Connect API – Executes the reusable producer and consumer APIs that can link the topics to the existing applications.

What is the main method of message transfer in Kafka?

In Apache Kafka, the traditional method of message transfer has two ways: Queuing: In the queuing method, a pool of consumers may read messages from the server, and each message goes to one of them. Publish-Subscribe: In the Publish-Subscribe model, messages are broadcasted to all consumers.

Is Kafka highly scalable for better durability?

Apache Kafka is more scalable than traditional message transfer services because it allows the addition of more partitions. 3. Durability: Kafka uses distributed logs and supports message replication to ensure durability. As we see above, RabbitMQ deletes messages as soon as it transferred to the consumer.

Related Posts

Leave a Reply

Your email address will not be published. Required fields are marked *