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Confluent CCAAK Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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.

Topic 3

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 4

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 5

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.

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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 persists the new leader and ISR list to ZooKeeper.
B. The Controller waits for a new leader to be nominated by ZooKeeper.
C. The Controller sends the new leader and ISR list changes to all brokers.
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
Which connector type takes data from a topic and sends it to an external data system?

A. Streams Connector
B. SvsIog Connector
C. Sink Connector
D. Source Connector

Answer: C

Explanation:
A Sink Connector reads data from a Kafka topic and writes it to an external data system, such as a database, file system, or cloud service.

NEW QUESTION # 28
How can authentication for both internal component traffic and external client traffic be accomplished?

A. Configure multiple listeners on the broker.
B. Configure multiple brokers.
C. Configure LoadBalancer.
D. Configure multiple security protocols on the same listener.

Answer: A

Explanation:
Kafka supports multiple listeners, each with its own port, hostname, and security protocol. This allows you to:
* Use one listener for internal communication (e.g., brokers, ZooKeeper, Connect, etc.) with one type of authentication (e.g., PLAINTEXT or SASL).
* Use a separate listener for external clients (e.g., producers and consumers) with a different protocol (e.g., SSL or SASL_SSL).

NEW QUESTION # 29
A topic 'recurring payments' is created on a Kafka cluster with three brokers (broker id '0', '1', '2') and nine partitions. The 'min.insync replicas' is set to three, and producer is set with 'acks' as 'all'. Kafka Broker with id '0' is down.
Which statement is correct?

A. Producers and consumers will have no impact on six of the nine partitions.
B. Consumers can read committed messages from partitions on broker id T, "2
C. Producers will only be able to write messages to the topic where the Leader for the partition is on Broker id T.
D. Producers can write messages to all the partitions, because new leaders for the partitions will be elected.

Answer: A

Explanation:
With 9 partitions spread across 3 brokers, each broker typically hosts 3 leaders (assuming even distribution). When Broker 0 fails, the partitions for which it was leader will elect new leaders on brokers 1 or 2 if enough in-sync replicas (ISRs) remain. But since min.insync.replicas=3 and only 2 brokers are up, no partition can meet the minimum in-sync replica requirement, so producers with acks=all will fail to write. However, for partitions where Broker 0 is not the leader, consumers can still read committed messages. Given that only 3 partitions likely had Broker 0 as leader, six partitions remain accessible for reads, but not writes.

NEW QUESTION # 30
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. Kafka uses ZooKeeper's ephemeral node feature to elect a controller.
B. The Controller is responsible for reassigning partitions to the consumers in a Consumer Group.
C. The Controller is responsible for electing Leaders among the partitions and replicas.
D. The broker id is used as the epoch number to prevent a split brain scenario.
E. The number of Controllers should always be equal to the number of brokers alive in the cluster.
F. The Controller uses the epoch number to prevent a split brain scenario.

Answer: A,C,F

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 # 31
......

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