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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	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	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	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 5	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 (Q15-Q20):

NEW QUESTION # 15
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 is responsible for reassigning partitions to the consumers in a Consumer Group.
D. Kafka uses ZooKeeper's ephemeral node feature to elect a controller.
E. The broker id is used as the epoch number to prevent a split brain scenario.
F. The Controller uses the epoch number to prevent a split brain scenario.

Answer: A,D,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 # 16
Kafka Connect is running on a two node cluster in distributed mode. The connector is a source connector that pulls data from Postgres tables (users/payment/orders), writes to topics with two partitions, and with replication factor two. The development team notices that the data is lagging behind.
What should be done to reduce the data lag*?
The Connector definition is listed below:
{
"name": "confluent-postgresql-source",
"connector class": "PostgresSource",
"topic.prefix": "postgresql_",
& nbsp;& nbsp;& nbsp;...
"db.name": "postgres",
"table.whitelist": "users.payment.orders",
"timestamp.column.name": "created_at",
"output.data format": "JSON",
"db.timezone": "UTC",
"tasks.max": "1"
}

A. Increase the number of Connect Tasks (tasks max value).
B. Increase the replication factor and increase the number of Connect Tasks.
C. Increase the number of Connect Nodes.
D. Increase the number of partitions.

Answer: A

Explanation:
The connector is currently configured with "tasks.max": "1", which means only one task is handling all tables (users, payment, orders). This can create a bottleneck and lead to lag. Increasing tasks.max allows Kafka Connect to parallelize work across multiple tasks, which can pull data from different tables concurrently and reduce lag.

NEW QUESTION # 17
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 offsets for the messages on the source, destination cluster may not match.
C. The message on DR cluster got over-written accidently by another application.
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 # 18
A broker in the Kafka cluster is currently acting as the Controller.
Which statement is correct?

A. All consumers are allowed to fetch messages only from this server.
B. It is given precedence for replication to and from replica followers.
C. It can have topic partitions.
D. It is responsible for sending leader information to all producers.

Answer: C

Explanation:
The Controller broker is a regular broker that also takes on additional responsibilities for managing cluster metadata, such as leader elections and partition assignments. It still hosts topic partitions and participates in replication like any other broker.

NEW QUESTION # 19
Which ksqlDB statement produces data that is persisted into a Kafka topic?

A. CREATE TABLE
B. SELECT (Pull Query)
C. SELECT (Push Query)
D. INSERT VALUES

Answer: D

Explanation:
INSERT VALUES is used to write data directly into a Kafka topic through a ksqlDB stream or table. This data is persisted.

NEW QUESTION # 20
......

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