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100% Pass CCAAK - Confluent Certified Administrator for Apache Kafka Pass-Sure Valid Exam Test

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Confluent CCAAK Exam Syllabus Topics:

Topic
Details

Topic 1

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.

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® 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 4

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 5

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.

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Confluent Certified Administrator for Apache Kafka Sample Questions (Q53-Q58):

NEW QUESTION # 53
The Consumer property 'auto offset reset' determines what to do if there is no valid offset for a Consumer Group.
Which scenario is an example of a valid offset and therefore the 'auto.offset.reset' does NOT apply?

A. When an offset points to a message that has been removed by compaction but is still within the current partition.offset range.
B. The Consumer offset is greater than the last offset in the partition (log end offset).
C. The Consumer Group started for the first time.
D. The Consumer offset is less than the smallest offset in the partition (log start offset).

Answer: A

Explanation:
In this scenario, the offset itself is still valid, even though the record at that offset was compacted away. The consumer can continue consuming from the next available record. Therefore, auto.offset.reset does NOT apply, because there is a valid offset present.

NEW QUESTION # 54
Multiple clients are sharing a Kafka cluster.
As an administrator, how would you ensure that Kafka resources are distributed fairly to all clients?

A. Rebalancing
B. ACLs
C. Quotas
D. Consumer Groups

Answer: C

Explanation:
Kafka quotas allow administrators to control and limit the rate of data production and consumption per client (producer/consumer), ensuring fair use of broker resources among multiple clients.

NEW QUESTION # 55
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 waits for a new leader to be nominated by ZooKeeper.
B. The Controller persists the new leader and ISR list to ZooKeeper.
C. The Controller sends the new leader and ISR list changes to all producers and consumers.
D. The Controller sends the new leader and ISR list changes to all brokers.

Answer: B,D

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 # 56
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. Increase the partitions in Topic X.
D. Decrease the consumer acknowledgment property to increase throughput.

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 # 57
When a broker goes down, what will the Controller do?

A. Trigger a leader election among the remaining followers to distribute leadership.
B. Become the leader for the topic/partition that needs a leader, pending the broker return in the cluster.
C. Automatically elect the least loaded broker to become the leader for every orphan's partitions.
D. Wait for a follower to take the lead.

Answer: A

Explanation:
When a broker goes down, the Controller detects the failure and triggers a leader election for all partitions that had their leader on the failed broker. The leader is chosen from the in-sync replicas (ISRs) of each partition.

NEW QUESTION # 58
......

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