Apache Kafka Practice Exam 2025 – The Complete All-in-One Guide for Exam Success!

The primary use cases for Apache Kafka revolve around its strengths in handling high-throughput data streams and providing real-time processing capabilities. Log aggregation is one of the traditional and most widely recognized applications of Kafka. Organizations often use Kafka to collect logs from various services and applications into a central repository, allowing for efficient monitoring, analysis, and alerting.

Real-time data streaming is another critical use case. Kafka is designed to handle streams of events and messages in real time, making it an excellent choice for applications that require immediate processing of data as it flows in. This includes use cases such as stream processing, event sourcing, and building data pipelines that transport data between systems efficiently.

In contrast, other options presented do not align with Kafka's core functionalities. Game development and 3D modeling generally require specialized graphics and physics engines, which are outside the scope of Kafka's data-centric design. Similarly, web hosting and static file serving focus on delivering web content rather than processing and managing streams of data, which is Kafka's specialty. Finally, the creation of graphical user interfaces typically does not involve stream processing or data aggregation, further emphasizing Kafka's unsuitability for those roles.