Dear candidates you will find MCQ questions of Apache Kafka here. Learn these questions and prepare yourself for coming examinations and interviews. You can check the right answer of any question by clicking on any option or by clicking view answer button.
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Explanation: Kafka is used for building real-time data pipelines and streaming apps by handling distributed event streaming.
Explanation: A topic in Kafka is a logical channel to which producers publish and from which consumers read messages.
Explanation: A Kafka broker receives messages from producers, stores them on disk, and serves consumers.
Explanation: Consumer groups manage offsets to track which messages have been consumed.
Explanation: Partitions allow Kafka to scale horizontally and enable parallel processing of data.
Explanation: Within a partition, Kafka guarantees ordering of messages.
Explanation: Document is not a Kafka component. Broker, topic, and stream are core concepts in Kafka.
Explanation: Kafka provides fault tolerance by allowing another consumer in the same group to take over the partition.
Explanation: Kafka is developed using Java and Scala languages.
Explanation: Kafka Manager is a popular tool used for managing and monitoring Kafka clusters.