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

When the disk write speed is increased in Kafka, producers benefit from lower produce latency. This is because faster disk writes allow data produced to be written and acknowledged more quickly. In Kafka, producers send records to a broker, and once the records are successfully written to disk, the broker can send an acknowledgment back to the producer. With enhanced disk I/O performance, write operations become more efficient, reducing the time the producer has to wait for these acknowledgments. Consequently, this leads to improved throughput and the ability to handle higher data volumes with decreased latency, facilitating more responsive data streaming applications.

The other options do not align with the implications of increased disk write speed on producers. Higher produce latency would occur if the system experienced delays, which is the opposite of what happens with faster disk performance. Increased data loss isn't a direct consequence of higher disk write speeds; rather, it usually relates to issues with configurations, replication, or other bottlenecks in the system. Slower consumer response times would not be a result either; in fact, efficient producer performance can enhance the overall data pipeline, potentially benefiting consumers as well.