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Confluent Certified Administrator for Apache Kafka Pass Cert & CCAAK Actual Questions & Confluent Certified Administrator for Apache Kafka Training Vce

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Confluent CCAAK Exam Syllabus Topics:

Topic
Details

Topic 1

Troubleshooting: This section of the exam measures skills of a Kafka Administrator and includes diagnosing common issues in Kafka clusters. It covers problem areas such as performance bottlenecks, message delivery failures, replication issues, and consumer lag, along with techniques to resolve them effectively.

Topic 2

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 3

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.

Confluent Certified Administrator for Apache Kafka Sample Questions (Q31-Q36):

NEW QUESTION # 31
A Kafka administrator notices that their consumers of Topic X are starting to fall behind. The administrator sees that Topic X has four partitions, and the consumer group has two consumers.
Which change can increase the performance of the Consumer Group?

A. Create a new consumer group for Topic X containing two (2) consumers.
B. Increase the number of consumers in the consumer group.
C. Decrease the consumer acknowledgment property to increase throughput.
D. Increase the partitions in Topic X.

Answer: B

Explanation:
With 4 partitions and only 2 consumers, some consumers are handling multiple partitions, which may cause lag if processing is slow. By increasing the number of consumers in the group (up to 4), Kafka can assign one partition per consumer, improving parallelism and throughput.

NEW QUESTION # 32
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 number of Controllers should always be equal to the number of brokers alive in the cluster.
B. The broker id is used as the epoch number to prevent a split brain scenario.
C. The Controller is responsible for reassigning partitions to the consumers in a Consumer Group.
D. The Controller uses the epoch number to prevent a split brain scenario.
E. Kafka uses ZooKeeper's ephemeral node feature to elect a controller.
F. The Controller is responsible for electing Leaders among the partitions and replicas.

Answer: D,E,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 # 33
Where are Apache Kafka Access Control Lists stored'?

A. Connect
B. ZooKeeper
C. Schema Registry
D. Broker

Answer: B

Explanation:
In Apache Kafka (open-source), Access Control Lists (ACLs) are stored in ZooKeeper. Kafka brokers retrieve and enforce ACLs from ZooKeeper at runtime.

NEW QUESTION # 34
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=undefined
B. acks=1
C. acks=0
D. acks=all

Answer: C

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 # 35
Which option is a valid Kafka Topic cleanup policy? (Choose two.)

A. default
B. cleanup
C. delete
D. compact

Answer: C,D

Explanation:
The delete policy deletes old log segments when they exceed the retention period or size.
The compact policy retains only the latest record for each key, enabling efficient key-based storage.

NEW QUESTION # 36
......

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