Apache Kafka Practice Exam – Prep, Study Guide & Practice Questions

Setting the auto.commit.interval.ms configuration to a very low value can lead to duplicate processing of messages in Apache Kafka consumers. This is because when a consumer processes a message, it will automatically commit its offset after the specified interval. If the interval is set too low, a consumer may not have enough time to successfully process the message before the offset is committed.

As a result, if a failure occurs or if the consumer restarts before a successful message processing and offset commit, the consumer may re-read and process the same message again when it resumes. In this way, too frequent committing can lead to scenarios where the same message gets consumed multiple times, resulting in duplicates. It's essential for consumers to have adequate processing time before offsets are committed to ensure that each message is processed only once.

Other options might focus on aspects like latencies, server load, or offset management, but the primary concern with low commit intervals centers on the risk of duplicate message processing.