Apache Kafka Practice

The correct answer, which identifies common messaging patterns in Kafka, highlights the publish-subscribe and request-response approaches.

In Apache Kafka, the publish-subscribe model enables multiple consumers to receive messages independently from a topic. Producers publish messages to a topic, and multiple consumers can subscribe to that topic to receive the messages delivered. This pattern is well-suited for scenarios where messages need to be broadcasted to multiple subscribers, allowing for real-time data streaming across various applications.

The request-response pattern, while less common in traditional Kafka usage, can still be implemented using Kafka as well. This could involve a model where a consumer sends a request message to a topic that a producer is listening to and then sends the response message back on another topic. This pattern is often facilitated by separate request and response topics.

The other options do reflect practices used in data systems but are not as tailored to Kafka’s primary messaging patterns. Batch processing and streaming describe modes of data processing rather than messaging patterns. Point-to-point and message queue refer to more traditional messaging frameworks that are not explicitly utilized by Kafka's architecture, which is built around topics and subscriptions. Data mining and data archiving describe analytical workflows or storage strategies that do not align with the core messaging functionalities of Kafka.