Apache Kafka is widely adopted in real-time data pipelines, and one of its greatest strengths is the ability to integrate seamlessly with external tools and systems. From stream processing frameworks like Apache Flink and Kafka Streams, to data storage systems like Hadoop, HDFS, and NoSQL databases, Kafka sits at the heart of many modern data architectures.
These MCQs cover real-world integrations and are tailored for interview preparation and certification exams, ranging from beginner to advanced levels.
1.) What is Kafka Connect used for?
2.) Which of the following is an example of a Kafka sink connector?
3.) Kafka Connectors are typically implemented as:
4.) Which Kafka tool allows you to define transformations on data before pushing it to a sink?
5.) Kafka Connect supports which two deployment modes?
6.) Which of the following is a streaming computation engine that can integrate with Kafka?
7.) What is used to process data stored in Kafka as a continuous stream of records?
8.) Which tool is used to process event-time data and complex windowing in Kafka streams?
9.) Kafka can be integrated with Elasticsearch using:
10.) What is the primary function of Kafka MirrorMaker?