Apache Kafka becomes even more powerful and flexible when integrated with Confluent Schema Registry and Apache Avro. Avro allows serialization of structured data, while Schema Registry helps enforce schemas for Kafka messages, enabling forward and backward compatibility, validation, and evolution. These concepts are critical in building robust, schema-safe Kafka pipelines.
The following multiple-choice questions (MCQs) are tailored to help developers and architects prepare for real-world scenarios and interviews involving Kafka data serialization, Avro schemas, and Schema Registry integration.
1.) What is Apache Avro?
2.) What is the primary purpose of Schema Registry?
3.) Which company maintains the Confluent Schema Registry?
4.) What format is commonly used with Schema Registry for Kafka message serialization?
5.) In Avro, what is the schema format?
6.) What format is used to send Avro messages in Kafka?
7.) Which of the following is a valid Avro data type?
8.) Which Avro schema compatibility type allows new fields with defaults?
9.) What does the magic byte in Avro-encoded Kafka messages signify?
10.) What port does Schema Registry typically run on by default?