KEY CCAAK CONCEPTS - QUIZ 2025 CCAAK: FIRST-GRADE CONFLUENT CERTIFIED ADMINISTRATOR FOR APACHE KAFKA PDF VCE

Key CCAAK Concepts - Quiz 2025 CCAAK: First-grade Confluent Certified Administrator for Apache Kafka PDF VCE

Key CCAAK Concepts - Quiz 2025 CCAAK: First-grade Confluent Certified Administrator for Apache Kafka PDF VCE

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Confluent Certified Administrator for Apache Kafka Sample Questions (Q28-Q33):

NEW QUESTION # 28
What is the atomic unit of data in Kafka?

  • A. Message
  • B. Offset
  • C. Partition
  • D. Topic

Answer: A

Explanation:
The message (also called a record) is the atomic unit of data in Kafka. It consists of a key, value, and optional headers and metadata. Messages are written to partitions and read by consumers.


NEW QUESTION # 29
The Consumer property 'auto offset reset' determines what to do if there is no valid offset for a Consumer Group.
Which scenario is an example of a valid offset and therefore the 'auto.offset.reset' does NOT apply?

  • A. The Consumer Group started for the first time.
  • B. The Consumer offset is greater than the last offset in the partition (log end offset).
  • C. The Consumer offset is less than the smallest offset in the partition (log start offset).
  • D. When an offset points to a message that has been removed by compaction but is still within the current partition.offset range.

Answer: D

Explanation:
In this scenario, the offset itself is still valid, even though the record at that offset was compacted away. The consumer can continue consuming from the next available record. Therefore, auto.offset.reset does NOT apply, because there is a valid offset present.


NEW QUESTION # 30
When a broker goes down, what will the Controller do?

  • A. Automatically elect the least loaded broker to become the leader for every orphan's partitions.
  • B. Trigger a leader election among the remaining followers to distribute leadership.
  • C. Wait for a follower to take the lead.
  • D. Become the leader for the topic/partition that needs a leader, pending the broker return in the cluster.

Answer: B

Explanation:
When a broker goes down, the Controller detects the failure and triggers a leader election for all partitions that had their leader on the failed broker. The leader is chosen from the in-sync replicas (ISRs) of each partition.


NEW QUESTION # 31
You want to increase Producer throughput for the messages it sends to your Kafka cluster by tuning the batch size ('batch size') and the time the Producer waits before sending a batch ('linger.ms').
According to best practices, what should you do?

  • A. Increase 'batch.size' and decrease 'linger.ms'
  • B. Increase 'batch.size' and increase 'linger.ms'
  • C. Decrease 'batch.size' and increase 'linger.ms'
  • D. Decrease 'batch.size' and decrease 'linger.ms'

Answer: B

Explanation:
Increasing batch.size allows the producer to accumulate more messages into a single batch, improving compression and reducing the number of requests sent to the broker.
Increasing linger.ms gives the producer more time to fill up batches before sending them, which improves batching efficiency and throughput.
This combination is a best practice for maximizing throughput, especially when message volume is high or consistent latency is not a strict requirement.


NEW QUESTION # 32
Which property in broker configuration specifies that a broker belongs to a particular rack?
Which property in broker configuration specifies that a broker belongs to a particular rack?

  • A. kafka.rack
  • B. zookeeper.rack
  • C. client.rack
  • D. broker.rack

Answer: D

Explanation:
The broker.rack property is used in a Kafka broker's configuration to specify the rack or availability zone the broker belongs to. This is important for rack-aware replica placement, allowing Kafka to distribute replicas across different racks for fault tolerance.


NEW QUESTION # 33
......

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