2025 HIGH HIT-RATE CCAAK: CERTIFICATION CONFLUENT CERTIFIED ADMINISTRATOR FOR APACHE KAFKA TEST QUESTIONS

2025 High Hit-Rate CCAAK: Certification Confluent Certified Administrator for Apache Kafka Test Questions

2025 High Hit-Rate CCAAK: Certification Confluent Certified Administrator for Apache Kafka Test Questions

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Confluent Certified Administrator for Apache Kafka Sample Questions (Q32-Q37):

NEW QUESTION # 32
What does Kafka replication factor provide? (Choose two.)

  • A. Security
  • B. Availability
  • C. Performance
  • D. Durability

Answer: B,D

Explanation:
Replication ensures that multiple copies of data exist across different brokers, so data is not lost if one broker fails.
With multiple replicas, Kafka can continue to serve data even if the leader or one replica fails, maintaining service availability.


NEW QUESTION # 33
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 has another partition clashing with the same name.
  • C. Leader shows "-1" while the log cleaner thread runs on Broker 1.
  • D. Broker 1 failed.

Answer: D

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 # 34
What is the correct permission check sequence for Kafka ACLs?
What is the correct permission check sequence for Kafka ACLs?

  • A. Super Users -> Deny ACL -> Allow ACL -> Deny
  • B. Allow ACL -> Deny ACL -> Super Users -> Deny
  • C. Super Users -> Allow ACL -> Deny ACL-> Deny
  • D. Deny ACL -> Deny -> Allow ACL -> Super Users

Answer: C

Explanation:
Kafka checks permissions in the following sequence:
1. Super Users: If the user is a super user (defined via super.users), access is granted immediately.
2. Allow ACL: If there is a matching Allow ACL, Kafka proceeds to the next step.
3. Deny ACL: If there is a matching Deny ACL, access is denied (even if an Allow exists).
4. Deny: If no matching ACLs are found, access is denied by default.
This order ensures that super users bypass ACLs, denials override allows, and default is deny.


NEW QUESTION # 35
A company is setting up a log ingestion use case where they will consume logs from numerous systems. The company wants to tune Kafka for the utmost throughput.
In this scenario, what acknowledgment setting makes the most sense?

  • A. acks=0
  • B. acks=undefined
  • C. acks=all
  • D. acks=1

Answer: A

Explanation:
acks=0 provides the highest throughput because the producer does not wait for any acknowledgment from the broker. This minimizes latency and maximizes performance.
However, it comes at the cost of no durability guarantees - messages may be lost if the broker fails before writing them. This setting is suitable when throughput is critical and occasional data loss is acceptable, such as in some log ingestion use cases where logs are also stored elsewhere.


NEW QUESTION # 36
A developer is working for a company with internal best practices that dictate that there is no single point of failure for all data stored.
What is the best approach to make sure the developer is complying with this best practice when creating Kafka topics?

  • A. Use the parameter --partitions=3 when creating the topic.
  • B. Set 'min.insync.replicas' to 1.
  • C. Set the topic replication factor to 3.
  • D. Make sure the topics are created with linger.ms=0 so data is written immediately and not held in batch.

Answer: C

Explanation:
Replication factor determines how many copies of each partition exist across different brokers. A replication factor of 3 ensures that even if one or two brokers fail, the data is still available, thus eliminating a single point of failure.


NEW QUESTION # 37
......

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