Confluent
CCAAK · Question #79
Which factor is important for scaling a Kafka cluster to handle increasing data throughput?
The correct answer is C. Increasing the number of partitions in topics. Increasing the number of partitions expands the cluster's parallelism, allowing more producers and consumers to operate concurrently. This is the primary mechanism for scaling Kafka
Deployment Architecture
Question
Which factor is important for scaling a Kafka cluster to handle increasing data throughput?
Options
- AReducing the producer batch size to minimize memory usage
- BDisabling compression in producers to speed up message transmission
- CIncreasing the number of partitions in topics
- DUsing larger batch sizes in producers to reduce network overhead
How the community answered
(44 responses)- A7% (3)
- B2% (1)
- C82% (36)
- D9% (4)
Explanation
Increasing the number of partitions expands the cluster's parallelism, allowing more producers and consumers to operate concurrently. This is the primary mechanism for scaling Kafka
Topics
#partitions#throughput scaling#cluster capacity#horizontal scaling
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