Welcome to the new Blog Top Apache Kafka Interview Questions 1 year Exp. Here you will see all the interview questions related to Kafka.
Apache Kafka is an open-source distributed streaming platform that is designed for building real-time data pipelines and streaming applications. Originally developed by LinkedIn, Kafka was open-sourced and became part of the Apache Software Foundation. It is widely used in industries to handle and process large streams of data in a fault-tolerant and scalable manner.
Apache Kafka is a robust and versatile platform that has become a cornerstone for building scalable, real-time data processing systems. Its ability to handle large-scale data streams with fault tolerance and high throughput makes it a popular choice for various use cases across different industries.
Apache Kafka is a distributed event streaming platform that provides a high-throughput, fault-tolerant, and scalable solution for handling real-time data feeds. It was originally developed by LinkedIn and later open-sourced as an Apache Software Foundation project. Kafka is designed to handle massive volumes of data and is widely used for building real-time data pipelines and streaming applications.
Kafka Streams is a library within the Apache Kafka ecosystem that enables real-time stream processing and analysis of data. It allows developers to build applications that consume and process data from Kafka topics, perform computations on the data, and produce results back into Kafka topics. Kafka Streams provides a high-level abstraction for working with streams of records in a fault-tolerant and scalable manner.
Kafka Streams simplifies the development of real-time stream processing applications by providing a high-level API and seamless integration with Kafka. Its scalability, fault tolerance
, and integration capabilities make it a powerful tool for building distributed stream processing applications.
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Top Apache Kafka Interview Questions 1 year Exp
01.What is the difference between Apache Kafka and Apache Kafka Stream?
Ans: Apache Kafka is a distributed publish-subscribe messaging system that is designed to handle large amounts of data in real-time. It is a high-throughput, low-latency platform that is used for real-time data processing, event streaming, and messaging between different systems. Kafka is used to build streaming data pipelines, where data is produced by various sources, processed in real-time, and consumed by different systems.
Apache Kafka Streams, on the other hand, is a lightweight, distributed, and scalable stream-processing library that is built on top of Kafka. Kafka Streams allows you to build real-time processing applications that consume, transform, and produce data streams from Kafka topics. Kafka Streams provides an easy-to-use programming model for building stateful stream processing applications.
02.What is a Kafka Streams application?
Ans: A Kafka Streams application is a real-time data processing application that uses the Kafka Streams library to process and analyze data streams from Kafka topics.
In a Kafka Streams application, data is processed in real-time as it arrives, allowing for near-instantaneous processing and analysis of data. Kafka Streams provides a simple and lightweight way to build stateful stream processing applications, which can perform complex operations such as aggregations, joins, and filtering on the incoming data.
03.What is the role of ZooKeeper in Kafka?
Ans: ZooKeeper is used for coordination and synchronization between Kafka brokers and consumers. It is responsible for storing metadata about Kafka topics, partitions, and brokers.
04.How does Kafka guarantee message delivery?
Ans: Kafka guarantees message delivery through replication. Each message is replicated across multiple brokers to ensure that it is not lost in case of a broker failure.
05.What is the maximum size of a message in Kafka?
Ans:The maximum size of a message in Kafka is determined by the broker configuration parameter “message.max.bytes” and defaults to 1MB.
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