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CCAAK Latest Practice Questions | CCAAK Exam Brain Dumps

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Confluent Certified Administrator for Apache Kafka Sample Questions (Q30-Q35):

NEW QUESTION # 30
What is the relationship between topics and partitions? (Choose two.)

A. Atopic may have more than one partition.
B. There is no relationship between topics and partitions.
C. A partition is always linked to a single topic.
D. Atopic always has one partition.
E. A partition may have more than one topic.

Answer: A,C

Explanation:
Kafka topics are split into one or more partitions to enable parallelism and scalability.
Each partition belongs to exactly one topic; it cannot span multiple topics.

NEW QUESTION # 31
An employee in the reporting department needs assistance because their data feed is slowing down. You start by quickly checking the consumer lag for the clients on the data stream.
Which command will allow you to quickly check for lag on the consumers?

A. bin/kafka-reassign-partitions.sh
B. bin/kafka-consumer-lag.sh
C. bin/kafka-consumer-groups.sh
D. bin/kafka-consumer-group-throughput.sh

Answer: C

Explanation:
The kafka-consumer-groups.sh script is used to inspect consumer group details, including consumer lag, which indicates how far behind a consumer is from the latest data in the partition.
The typical usage is bin/kafka-consumer-groups.sh --bootstrap-server <broker> --describe --group <group_id>

NEW QUESTION # 32
A Kafka cluster with three brokers has a topic with 10 partitions and a replication factor set to three. Each partition stores 25 GB data per day and data retention is set to 24 hours.
How much storage will be consumed by the topic on each broker?

A. 300 GB
B. 75 GB
C. 750 GB
D. 250 GB

Answer: A

Explanation:
10 partitions × 25 GB/day = 250 GB total per day for the topic (primary data).
With a replication factor of 3, there are 3 full copies of the data: 250 GB × 3 = 750 GB total across the entire cluster.
The cluster has 3 brokers, and Kafka tries to distribute replicas evenly among them: 750 GB ÷ 3 brokers = 250 GB per broker on average.
However, due to replication, some partitions have leaders and followers, so there's some overlap and not-perfect distribution. Each broker stores approximately 2/3 of the total topic data (since each broker holds replicas for around 2/3 of the partitions).
2/3 × 750 GB = 500 GB, but this is shared, so each broker ends up storing ~300 GB of replicated data, including its share of leaders and followers.

NEW QUESTION # 33
If the Controller detects the failure of a broker that was the leader for some partitions, which actions will be taken? (Choose two.)

A. The Controller sends the new leader and ISR list changes to all brokers.
B. The Controller persists the new leader and ISR list to ZooKeeper.
C. The Controller sends the new leader and ISR list changes to all producers and consumers.
D. The Controller waits for a new leader to be nominated by ZooKeeper.

Answer: A,B

Explanation:
The Controller updates ZooKeeper with the new leader and in-sync replica (ISR) information to maintain metadata consistency.
Brokers need this information to correctly route client requests and continue replication.

NEW QUESTION # 34
A Kafka administrator notices that their consumers of Topic X are starting to fall behind. The administrator sees that Topic X has four partitions, and the consumer group has two consumers.
Which change can increase the performance of the Consumer Group?

A. Increase the number of consumers in the consumer group.
B. Decrease the consumer acknowledgment property to increase throughput.
C. Create a new consumer group for Topic X containing two (2) consumers.
D. Increase the partitions in Topic X.

Answer: A

Explanation:
With 4 partitions and only 2 consumers, some consumers are handling multiple partitions, which may cause lag if processing is slow. By increasing the number of consumers in the group (up to 4), Kafka can assign one partition per consumer, improving parallelism and throughput.

NEW QUESTION # 35
......

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