What is the primary feature in Kafka that allows for scalability and parallelism by dividing incoming data into smaller manageable units, enabling high throughput and allowing data to be processed…

The correct answer is C. Partition. Kafka divides a topic's data into multiple independently readable and writable units. This division allows data to be processed in parallel by different consumers, enabling horizontal scalability and high throughput.

Apache Kafka Fundamentals

Question

What is the primary feature in Kafka that allows for scalability and parallelism by dividing incoming data into smaller manageable units, enabling high throughput and allowing data to be processed in parallel?

Options

AConsumer group
BReplica
CPartition
DBroker

How the community answered

(35 responses)

A
6% (2)
B
3% (1)
C
80% (28)
D
11% (4)

Explanation

Kafka divides a topic's data into multiple independently readable and writable units. This division allows data to be processed in parallel by different consumers, enabling horizontal scalability and high throughput.

Topics

#partitions#scalability#parallelism#throughput

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