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1. Topics, Partitions, and Consumer Groups

High-throughput distributed append-only commit logs.

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Kafka is a distributed append-only log: - Topics: Message streams divided into Partitions. - Partitions: Ordered, immutable sequences of messages providing horizontal parallelism. - Consumer Groups: Multiple consumer instances distribute partition reads; only one consumer per group reads from a given partition.

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Check your understanding

1. How does Apache Kafka achieve massive horizontal read/write scale?
Dividing Topics into independent Partitions distributed across brokersStoring messages in a single SQLite fileUsing WebSockets onlyDeleting messages immediately upon read
2. What happens if a Consumer Group has more consumers than the topic has partitions?
Excess consumers sit idle without assigned partitionsThe topic crashesMessages are duplicatedPartitions are auto-created

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