Kafka - Performance TuningWhich Kafka consumer configuration helps reduce CPU usage by waiting for more data before returning?Afetch.min.bytesBmax.poll.recordsCsession.timeout.msDauto.offset.resetCheck Answer
Step-by-Step SolutionSolution:Step 1: Identify fetch.min.bytes purposeThis setting defines the minimum amount of data the broker should wait to accumulate before responding to a fetch request.Step 2: How it reduces CPU usageBy waiting for more data, the consumer reduces the number of fetch calls, lowering CPU overhead.Final Answer:fetch.min.bytes -> Option AQuick Check:fetch.min.bytes = wait for more data [OK]Quick Trick: fetch.min.bytes delays fetch until enough data arrives [OK]Common Mistakes:Confusing with max.poll.records which limits records per pollThinking session.timeout.ms controls fetch sizeAssuming auto.offset.reset affects fetch timing
Master "Performance Tuning" in Kafka9 interactive learning modes - each teaches the same concept differentlyLearnWhyDeepVisualTryChallengeProjectRecallTime
More Kafka Quizzes Advanced Stream Processing - Custom SerDes - Quiz 8hard Event-Driven Architecture - Event sourcing pattern - Quiz 14medium Event-Driven Architecture - Event sourcing pattern - Quiz 3easy Kubernetes and Cloud Deployment - Why cloud-native deployment matters - Quiz 14medium Kubernetes and Cloud Deployment - Resource planning and capacity - Quiz 7medium Multi-Datacenter and Replication - Geo-replication strategies - Quiz 14medium Multi-Datacenter and Replication - Geo-replication strategies - Quiz 7medium Performance Tuning - Batch size and compression tuning - Quiz 11easy Performance Tuning - Partition count strategy - Quiz 2easy Security - ACL-based authorization - Quiz 8hard