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Confluent CCAAK Exam Syllabus Topics:

Topic	Details
Topic 1	Kafka Connect: This section of the exam measures skills of a Site Reliability Engineer and addresses the use and management of Kafka Connect for data integration. It includes setting up connectors, managing configurations, and ensuring efficient movement of data between Kafka and external systems.
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	Observability: This section of the exam measures skills of a Site Reliability Engineer and focuses on monitoring Kafka clusters. It assesses knowledge of metrics, logging, and alerting tools, including how to use them to maintain cluster health and performance visibility.
Topic 4	Apache Kafka® Cluster Configuration: This section of the exam measures skills of a Kafka Administrator and includes configuring broker properties, tuning for performance, managing topic-level settings, and applying best practices for production-grade environments.

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Confluent Certified Administrator for Apache Kafka Sample Questions (Q34-Q39):

NEW QUESTION # 34
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. The consumer should send a message with a 'null' key.
B. If topic deletion is enabled on the brokers, delete the topic using Kafka command line tools.
C. Delete the offsets for that topic from the consumer offsets topic.
D. Delete the log files and their corresponding index files from the leader broker.

Answer: B

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 # 35
How can load balancing of Kafka clients across multiple brokers be accomplished?

A. Offsets
B. Connectors
C. Replicas
D. Partitions

Answer: D

Explanation:
Partitions are the primary mechanism for achieving load balancing in Kafka. When a topic has multiple partitions, Kafka clients (producers and consumers) can distribute the load across brokers hosting these partitions.

NEW QUESTION # 36
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 persists the new leader and ISR list to ZooKeeper.
B. The Controller sends the new leader and ISR list changes to all producers and consumers.
C. The Controller sends the new leader and ISR list changes to all brokers.
D. The Controller waits for a new leader to be nominated by ZooKeeper.

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 # 37
Which secure communication is supported between the REST proxy and REST clients?

A. Kerberos
B. MD5
C. SCRAM
D. TLS (HTTPS)

Answer: D

NEW QUESTION # 38
A customer has a use case for a ksqlDB persistent query. You need to make sure that duplicate messages are not processed and messages are not skipped.
Which property should you use?

A. processing.guarantee=exactly_once
B. ksql.streams auto.offset.reset=latest
C. ksql.streams auto offset.reset=earliest
D. ksql.fail.on.production.error=false

Answer: A

Explanation:
processing.guarantee=exactly_once ensures that messages are processed exactly once by ksqlDB, preventing both duplicates and message loss.

NEW QUESTION # 39
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