Kafka Streams API: The Kafka streams API allows applications to process data in a stream processing paradigm. The consumer API also allows applications to process streams of messages that are produced for those topics. Kafka Consumer API: The consumer API allows applications to subscribe to one or more Kafka topics. Kafka Producer API: The producer API allows applications to publish messages in the form of a stream of records to one or more Kafka topics. There are four main APIs provided by Apache Kafka. Mention the APIs provided by Apache Kafka. To consume messages from a consumer group, ‘-group’ command has to be used. Consumers in Kafka generally belong to a particular consumer group. A consumer group basically represents the name of an application. In Kafka, a consumer group is a set of one or more consumers who cooperate to consume data from the same topic or the same set of topics. What is a consumer group in Apache Kafka? Brokers in Kafka do not contain the complete data, but they know about other brokers, topics, and partitions of the cluster. Connection with any one broker in a cluster implies a connection with the whole cluster. A broker in a cluster can only be identified by the integer ID associated with it. A broker works as a container that holds multiple topics with various partitions. ![]() ![]() What is a broker in Apache Kafka?Ī Kafka cluster contains one or more servers that are known as brokers. The producer can also send messages to a partition of their choice. Whenever a producer publishes messages to the broker, the broker appends the published messages to a partition. Producers send data to the Kafka brokers. Producers can publish messages on one or more Kafka topics. Consumers pull the data at their own pace. Consumers can subscribe to one or more topics and receive published messages from these topics by pulling data from the brokers. What are consumers in Apache Kafka?Ĭonsumers read data from the brokers. This is how the leader and follower concept works in a Kafka cluster. In the case where the leader fails, one of the followers can take on the role of the leader. The leader and follower relationship is such that the followers passively replicate the leader. A leader can have zero or more followers. The leader takes care of all the read and write requests for that particular partition. Every partition has one Kafka server that plays the role of a leader for that partition. Partitions can be replicated across multiple servers to ensure fault tolerance. Each Kafka server handles the data and requests with its share of partitions. Partitions of a Kafka topic are distributed across servers in a Kafka cluster. How are partitions distributed in an Apache Kafka cluster? While creating a topic, you need to specify the number of partitions, although this number is arbitrary and can be changed later. One or more consumers can read data from a Kafka topic simultaneously by reading from each partition. Topics in Kafka are divided into partitions. Kafka stores data in topics that are split into partitions. What are topics in Apache Kafka?Ī stream of messages that belong to a particular category is called a topic in Kafka. These Kafka interview questions mostly revolve around the fundamental components of Apache Kafka, such as topics, partitions, consumer group, load balancing, Kafka APIs, etc. This section comprises the basic yet commonly asked Apache Kafka interview questions. The following sections will walk you through the important Apache Kafka interview questions and answers subdivided into different categories based on experience levels, specific topics, and Apache Kafka job roles.Īce Your Next Job Interview with Mock Interviews from Experts to Improve Your Skills and Boost Confidence!Īpache Kafka Interview Questions for Beginners In that case, this blog on the most popular 100+ Apache Kafka interview questions and answers will help you nail your next big data job interview. Suppose you are a student, a fresher in the industry, or an experienced IT professional making a career transition into analytics. ![]() Top 100+ Kafka Interview Questions and Answers Don’t Just Stop at These Kafka Interview Questions. ![]()
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