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[General] CCAAK Verified Answers | CCAAK Latest Test Answers

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【General】 CCAAK Verified Answers | CCAAK Latest Test Answers

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Confluent Certified Administrator for Apache Kafka Sample Questions (Q26-Q31):NEW QUESTION # 26
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 waits for a new leader to be nominated by ZooKeeper.
  • C. The Controller persists the new leader and ISR list to ZooKeeper.
  • D. The Controller sends the new leader and ISR list changes to all producers and consumers.
Answer: A,C
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 # 27
You have a Kafka cluster with topics t1 and t2. In the output below, topic t2 shows Partition 1 with a leader "-1".
What is the most likely reason for this?
...
$ kafka-topics --zookeeper localhost:2181 --describe --topic t1
Topic:t1 PartitionCount 1 ReplicationFactor 1 Configs:
Topic: t1 Partition: 0 Leader: 0 Replicas: 0 Isr: 0
$ kafka-topics --zookeeper localhost:2181 --describe --topic t2
Topic:t2 PartitionCount 2 ReplicationFactor 1 Configs:
Topic: t2 Partition: 0 Leader: 0 Replicas: 0 Isr: 0
Topic: t2 Partition: 1 Leader: -1 Replicas: 1 Isr:
  • A. Compression has been enabled on Broker 1.
  • B. Broker 1 failed.
  • C. Leader shows "-1" while the log cleaner thread runs on Broker 1.
  • D. Broker 1 has another partition clashing with the same name.
Answer: B
Explanation:
A Leader of -1 indicates that no broker is currently the leader for that partition. This usually happens when the only replica for that partition is unavailable, often due to the associated broker (in this case, Broker 1) failing or being offline. Kafka cannot elect a leader if no replica is in the in-sync replica (ISR) list, which leads to leader = -1.

NEW QUESTION # 28
You are managing a Kafka cluster with five brokers (broker id '0', '1','2','3','4') and three ZooKeepers. There are 100 topics, five partitions for each topic, and replication factor three on the cluster. Broker id '0' is currently the Controller, and this broker suddenly fails.
Which statements are correct? (Choose three.)
  • A. The Controller is responsible for electing Leaders among the partitions and replicas.
  • B. The number of Controllers should always be equal to the number of brokers alive in the cluster.
  • C. The Controller uses the epoch number to prevent a split brain scenario.
  • D. Kafka uses ZooKeeper's ephemeral node feature to elect a controller.
  • E. The Controller is responsible for reassigning partitions to the consumers in a Consumer Group.
  • F. The broker id is used as the epoch number to prevent a split brain scenario.
Answer: A,C,D
Explanation:
Kafka relies on ZooKeeper's ephemeral nodes to detect if a broker (controller) goes down and to elect a new controller.
The controller manages partition leadership assignments and handles leader election when a broker fails.
The epoch number ensures coordination and avoids outdated controllers acting on stale data.

NEW QUESTION # 29
Your organization has a mission-critical Kafka cluster that must be highly available. A Disaster Recovery (DR) cluster has been set up using Replicator, and data is continuously being replicated from source cluster to the DR cluster. However, you notice that the message on offset 1002 on source cluster does not seem to match with offset 1002 on the destination DR cluster.
Which statement is correct?
  • A. The message on DR cluster got over-written accidently by another application.
  • B. The offsets for the messages on the source, destination cluster may not match.
  • C. The DR cluster is lagging behind updates; once the DR cluster catches up, the messages will match.
  • D. The message was updated on source cluster, but the update did not flow into destination DR cluster and errored.
Answer: B
Explanation:
When using Confluent Replicator (or MirrorMaker), offsets are not preserved between the source and destination Kafka clusters. Messages are replicated based on content, but they are assigned new offsets in the DR (destination) cluster. Therefore, offset 1002 on the source and offset 1002 on the DR cluster likely refer to different messages, which is expected behavior.

NEW QUESTION # 30
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. 250 GB
  • D. 750 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 # 31
......
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