Kafka Intermediate Interview Questions
  1. Can you explain the architecture of an Apache Kafka cluster and the different components involved?
  2. How does Apache Kafka handle data scaling in a multi-broker cluster?
  3. Can you describe the process of data ingestion in Apache Kafka and the different options available?
  4. What is the role of a Kafka Streams application in real-time data processing with Apache Kafka?
  5. Can you explain the different ways in which data can be processed in Apache Kafka?
  6. How does Apache Kafka handle data retention and management of old data?
  7. Can you describe the process of data partitioning in Apache Kafka and the different strategies available?
  8. What is a Kafka Connect and how does it work in data ingestion with Apache Kafka?
  9. How does Apache Kafka handle data security and access control?
  10. Can you explain the concept of a Kafka transaction and its significance in Apache Kafka?
  11. How does Apache Kafka handle data compression and serialization at scale?
  12. Can you describe the different configuration options available in Apache Kafka for tuning performance?
  13. How does Apache Kafka handle data consistency and data integrity in a multi-broker cluster?
  14. Can you explain the role of a Kafka MirrorMaker in data replication between Kafka clusters?
  15. How does Apache Kafka handle data recovery in case of failures or crashes?
  16. Can you describe the process of setting up a multi-node Apache Kafka cluster for high availability?
  17. How does Apache Kafka handle data serialization and deserialization with different data formats?
  18. Can you explain the role of a Kafka consumer offset and how it is managed in Apache Kafka?
  19. How does Apache Kafka handle data partitioning and load balancing in a multi-consumer scenario?
  20. Can you describe the different use cases and applications of Apache Kafka in real-world scenarios?
Kafka Interview Questions For Experienced
  1. Can you explain the internal working of Apache Kafka, including data storage and retrieval mechanisms?
  2. How does Apache Kafka handle data distribution and replication across multiple data centers and geographic locations?
  3. Can you describe the process of setting up and maintaining a multi-datacenter Apache Kafka cluster for high availability and disaster recovery?
  4. How does Apache Kafka handle data compression and serialization for real-time streaming scenarios?
  5. Can you explain the different data processing patterns available in Apache Kafka and their use cases?
  6. How does Apache Kafka handle data security and privacy, including encryption, authentication, and authorization?
  7. Can you describe the different strategies for data partitioning in Apache Kafka and their impact on performance and scalability?
  8. How does Apache Kafka handle data ingestion from different sources, including real-time streaming, batch processing, and near-real-time data?
  9. Can you explain the role of Apache Kafka in big data and data lake architectures, including data ingestion, storage, and processing?
  10. How does Apache Kafka handle data compression and serialization for large-scale data processing and analytics?
  11. Can you describe the process of setting up a real-time data pipeline using Apache Kafka and other big data technologies?
  12. How does Apache Kafka handle data integration with other big data technologies, including Hadoop, Spark, and Flink?
  13. Can you explain the different use cases and applications of Apache Kafka in IoT, telemetry, and real-time data streams?
  14. How does Apache Kafka handle data distribution and replication for real-time data streams, including the use of message brokers and data brokers?
  15. Can you describe the process of setting up and maintaining a highly available and scalable Apache Kafka cluster for real-time data processing?
  16. How does Apache Kafka handle data distribution and replication for real-time data streams, including the use of event-driven architectures and event-sourced systems?
  17. Can you explain the role of Apache Kafka in microservices and distributed systems, including data management and data integration between microservices?
  18. How does Apache Kafka handle data compression and serialization for real-time data streams in cloud-native environments and cloud deployments?
  19. Can you describe the process of setting up and maintaining a multi-cloud Apache Kafka cluster for high availability and disaster recovery?
  20. How does Apache Kafka handle data integration and management for real-time data streams in cloud-native environments and deployments?
  21. Can you explain the most common gotchas and challenges when setting up and maintaining a large-scale Apache Kafka cluster?