Authentic Confluent Certification Exam CCAAK Questions Answers

For maximum throughput and lowest latency, the setting acks=0 allows the producer to send messages without waiting for any acknowledgment from the broker. This increases speed but at the cost of durability.

From Kafka documentation:

“acks=0: The producer does not wait for any acknowledgment from the broker. The message can be lost but offers the highest throughput.”

A → Correct: Maximizes throughput with no delivery guarantee.

B → Balanced option but not max throughput.

C → Offers strongest durability but lowest throughput.

D → Invalid configuration.

Page Reference:

Kafka: The Definitive Guide, 1st Edition, Chapter 5, p. 158–159

Apache Kafka Documentation: Producer Configs – acks

Kafka does not enforce a single compression format per topic or partition. Each producer can independently choose whether to compress its messages and what compression type to use (e.g., gzip, snappy, lz4). These compressed messages coexist with uncompressed ones in the same topic.

From Kafka documentation:

“Producers can individually configure compression settings. Kafka stores messages in the format they are received, so compressed and uncompressed messages can exist in the same partition.”

Page Reference:

Kafka: The Definitive Guide, 1st Edition, Chapter 5, p. 164–165

Apache Kafka Documentation: Producer Config – compression.type

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Each Kafka partition is associated with log files and index files that are opened and maintained by the broker. Increasing the number of partitions increases the number of file descriptors (open files). Therefore, it is critical to verify that the broker's system-level max open file count (ulimit -n) is sufficiently high.

From Kafka documentation:

“Each partition uses multiple open files. When the number of partitions increases significantly, make sure to increase the max open file descriptors allowed for the Kafka process.”

C → Correct: Prevents file descriptor exhaustion.

A/B/D → Unrelated to partition count scalability.

Page Reference:

Kafka: The Definitive Guide, 1st Edition, Chapter 6, p. 192

Apache Kafka Documentation: Production Deployment and Scaling Tips

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