Kafka - Consumer GroupsYou want to ensure smooth failover in a Kafka consumer group when one consumer crashes. How does the group coordinator help achieve this?AIt automatically detects the failure and triggers a rebalance to assign partitions to remaining consumers.BIt stores the crashed consumer's messages until it recovers.CIt restarts the crashed consumer automatically.DIt duplicates messages to all consumers to avoid data loss.Check Answer
Step-by-Step SolutionSolution:Step 1: Understand group coordinator's role in failureThe group coordinator monitors consumer membership and triggers rebalancing when a consumer leaves or crashes.Step 2: Explain failover mechanismOn failure detection, the coordinator reassigns partitions to remaining consumers to continue processing without data loss.Final Answer:It automatically detects the failure and triggers a rebalance to assign partitions to remaining consumers. -> Option AQuick Check:Group coordinator triggers rebalance on consumer failure [OK]Quick Trick: Group coordinator triggers rebalance on consumer failure [OK]Common Mistakes:Thinking it stores messages for crashed consumersAssuming it restarts consumersBelieving it duplicates messages to all consumers
Master "Consumer Groups" in Kafka9 interactive learning modes - each teaches the same concept differentlyLearnWhyDeepVisualTryChallengeProjectRecallTime
More Kafka Quizzes Consumers - Consumer poll loop - Quiz 5medium Consumers - Consumer configuration - Quiz 5medium Kafka Basics and Event Streaming - Why Kafka exists - Quiz 15hard Kafka Basics and Event Streaming - Kafka CLI tools overview - Quiz 8hard Kafka Basics and Event Streaming - Kafka installation and setup - Quiz 9hard Producers - Compression (gzip, snappy, lz4) - Quiz 12easy Producers - Message key and value - Quiz 5medium Producers - Why producers publish data - Quiz 1easy Topics and Partitions - Topic deletion and cleanup - Quiz 1easy Topics and Partitions - Partition ordering guarantees - Quiz 13medium