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

An increase in partitions in Kafka means that the workload is distributed across more segments. Each partition corresponds to a log file, which Kafka manages on the filesystem. As the number of partitions grows, the system needs to open more log files to read from or write to them. Each of these log files requires an open file handle. Therefore, with more partitions, Kafka may require a higher limit for open file handles to accommodate all the active partitions.

This situation is crucial in systems running Kafka, as reaching the maximum number of open file handles can lead to errors and impact performance. Administrators might need to adjust system limits to ensure that Kafka can operate smoothly with the desired number of partitions, thus preventing potential issues related to file handling.

In contrast, other options don't accurately represent the relationship between partitions and file handles. For instance, increasing partitions does not reduce the need for open file handles and does impact file handles, thus making the other choices less suitable outcomes in this context.