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Confluent CCAAK Exam Syllabus Topics:

Topic	Details
Topic 1	Apache Kafka® Fundamentals: This section of the exam measures skills of a Kafka Administrator and covers core concepts such as Kafka architecture, components, and data flow. It assesses the candidate’s understanding of topics like topics and partitions, brokers, producers, consumers, and message retention.
Topic 2	Deployment Architecture: This section of the exam measures skills of a Kafka Administrator and covers different Kafka deployment topologies. It evaluates understanding of high availability, disaster recovery, multi-data center replication, and the roles of Zookeeper or KRaft in the cluster architecture.
Topic 3	Apache Kafka® Security: This section of the exam measures skills of a Site Reliability Engineer and focuses on securing Kafka environments. It includes authentication mechanisms such as TLS and SASL, authorization using ACLs, and encrypting data at rest and in transit to ensure secure communication and access control.

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Confluent Certified Administrator for Apache Kafka Sample Questions (Q13-Q18):

NEW QUESTION # 13
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 DR cluster is lagging behind updates; once the DR cluster catches up, the messages will match.
B. The message on DR cluster got over-written accidently by another application.
C. The message was updated on source cluster, but the update did not flow into destination DR cluster and errored.
D. The offsets for the messages on the source, destination cluster may not match.

Answer: D

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 # 14
Per customer business requirements, a system's high availability is more important than message reliability.
Which of the following should be set?

A. Unclean leader election should be enabled.
B. Message retention.ms should be set to -1.
C. The number of brokers in the cluster should be always odd (3, 5. 7 and so on).
D. The linger.ms should be set to '0'.

Answer: A

Explanation:
Enabling unclean leader election allows Kafka to elect a non-in-sync replica as leader if all in-sync replicas are unavailable. This sacrifices message reliability (possible data loss) in favor of high availability, aligning with the requirement.

NEW QUESTION # 15
Which tool is used for scalably and reliably streaming data between Kafka and other data systems?

A. Kafka Streams
B. Kafka Connect
C. Kafka REST Proxy
D. Kafka Schema Registry

Answer: B

Explanation:
Kafka Connect is the tool designed for scalable and reliable integration between Kafka and external data systems (e.g., databases, cloud storage, key-value stores). It supports source connectors (to pull data into Kafka) and sink connectors (to push data from Kafka).

NEW QUESTION # 16
You have an existing topic t1 that you want to delete because there are no more producers writing to it or consumers reading from it.
What is the recommended way to delete the topic?

A. If topic deletion is enabled on the brokers, delete the topic using Kafka command line tools.
B. Delete the offsets for that topic from the consumer offsets topic.
C. Delete the log files and their corresponding index files from the leader broker.
D. The consumer should send a message with a 'null' key.

Answer: A

Explanation:
The recommended and safe method to delete a topic is to use the Kafka CLI tool kafka-topics.sh --delete command, provided that delete.topic.enable=true is set on the brokers.

NEW QUESTION # 17
Why does Kafka use ZooKeeper? (Choose two.)

A. For controller election
B. To access information about the leaders and partitions
C. To scale the number of brokers in the cluster
D. To prevent replication between clusters

Answer: A,B

Explanation:
ZooKeeper stores metadata such as partition leadership and ISR (in-sync replicas), which brokers use to coordinate.
Kafka uses ZooKeeper to perform leader election for the Controller broker, which manages cluster metadata and leadership changes.

NEW QUESTION # 18
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