Confluent CCAAK Exam With Confidence Using Practice Dumps

Kafka consumers in a consumer group consume partitions exclusively. With 4 partitions and only 2 consumers, each consumer is processing 2 partitions. To increase parallelism, more consumers can be added to the group (up to 4) so that each consumer handles fewer partitions, which reduces the lag.

From Kafka documentation:

“Increasing the number of consumers in a group increases parallelism and helps reduce lag, assuming there are enough partitions.”

A → Ineffective unless followed by rebalancing and consumer scaling.

B → Would create a separate group and not share load.

C → Not applicable; consumers don’t acknowledge messages like producers.

Page Reference:

Kafka: The Definitive Guide, 1st Edition, Chapter 4, p. 127–129

Apache Kafka Documentation: Consumer Group Behavior

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To support gradual migration to SSL, Kafka supports configuring multiple listeners. You can run both a PLAINTEXT listener (for legacy clients) and an SSL listener (for new clients), allowing dual access.

From Kafka documentation:

“You can configure multiple listeners on a broker with different security protocols. This allows rolling out SSL while supporting legacy connections.”

A → Incorrect: Modifying the current listener breaks current clients.

B → Misleading: Changing advertised listeners affects how clients connect, which breaks backward compatibility.

C → Correct: Dual listeners allow phased SSL migration.

D → SSL must be configured on both ends to be effective.

Page Reference:

Kafka: The Definitive Guide, 1st Edition, Chapter 10, p. 305

Apache Kafka Documentation: Configuring Multiple Listeners

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To increase throughput, Kafka recommends allowing larger batches and giving more time for the producer to accumulate records into batches:

batch.size: Increasing this allows more records to be sent in a single request.

linger.ms: Increasing this adds a delay so that the producer can accumulate more messages into a batch.

From Kafka documentation:

“Increasing both batch.size and linger.ms allows the producer to send larger, more efficient batches, improving throughput at the cost of slightly increased latency.”

Page Reference:

Kafka: The Definitive Guide, 1st Edition, Chapter 5, p. 162–163

Apache Kafka Documentation: Producer Configuration Parameters

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