(You are designing a stream pipeline to monitor the real-time location of GPS trackers, where...

According to the official Apache Kafka documentation, log compaction is the mechanism used to retain only the latest record for each key in a topic. By setting cleanup.policy=compact, Kafka ensures that older records with the same key are eventually removed, leaving only the most recent value for each key.

This behavior is exactly suited for use cases such as tracking the current state of an entity, including GPS tracker locations, user profiles, or configuration data. In this scenario, the key (trackerId) uniquely identifies a tracker, and the value represents its most recent latitude and longitude.

Option B (retention.ms=infinite) retains all historical data, which contradicts the requirement. Option C (min.cleanable.dirty.ratio) controls when compaction runs, not what data is retained. Option D (retention.ms=0) would immediately delete all data and is unsafe.

Therefore, setting cleanup.policy=compact is the correct and officially documented solution to always retain the latest location per tracker.

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