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Confluent CCAAK Exam Syllabus Topics:

Topic	Details
Topic 1	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.
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	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	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.

Confluent Certified Administrator for Apache Kafka Sample Questions (Q33-Q38):

NEW QUESTION # 33
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. Increase the partitions in Topic X.
B. Decrease the consumer acknowledgment property to increase throughput.
C. Create a new consumer group for Topic X containing two (2) consumers.
D. Increase the number of consumers in the consumer group.

Answer: D

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 # 34
Which secure communication is supported between the REST proxy and REST clients?

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

Answer: B

NEW QUESTION # 35
If a broker's JVM garbage collection takes too long, what can occur?

A. There is backpressure to, and pausing of, Kafka clients.
B. There will be a trigger of the broker's log cleaner thread.
C. Log files written to disk are loaded into the page cache.
D. ZooKeeper believes the broker to be dead.

Answer: D

Explanation:
If the broker's JVM garbage collection (GC) pause is too long, it may fail to send heartbeats to ZooKeeper within the expected interval. As a result, ZooKeeper considers the broker dead, and the broker may be removed from the cluster, triggering leader elections and partition reassignments.

NEW QUESTION # 36
A company has an existing Kafka cluster running without SSL/TLS enabled. The customer wants to enable SSL on brokers to secure data in transit, but they would like to give applications connecting to this cluster some time to migrate to using SSL connection instead of putting a hard stop.
Which solution will meet the customer's requirements?

A. Create a new listener with SSL enabled.
B. Enable SSL on the current Listener, and do not enable mTLS.
C. Enable SSL on the current listener, and do not implement SSL on application side.
D. Modify the advertised listeners setting on brokers to use SSL.

Answer: A

Explanation:
Kafka supports multiple listeners, allowing you to run PLAINTEXT and SSL simultaneously. By creating a new SSL-enabled listener (e.g., on a different port), existing applications can continue using PLAINTEXT while gradually migrating to the SSL listener. This approach avoids downtime and gives clients time to adapt without enforcing a hard cutover.

NEW QUESTION # 37
A Kafka cluster with three brokers has a topic with 10 partitions and a replication factor set to three. Each partition stores 25 GB data per day and data retention is set to 24 hours.
How much storage will be consumed by the topic on each broker?

A. 75 GB
B. 300 GB
C. 750 GB
D. 250 GB

Answer: B

Explanation:
10 partitions × 25 GB/day = 250 GB total per day for the topic (primary data).
With a replication factor of 3, there are 3 full copies of the data: 250 GB × 3 = 750 GB total across the entire cluster.
The cluster has 3 brokers, and Kafka tries to distribute replicas evenly among them: 750 GB ÷ 3 brokers = 250 GB per broker on average.
However, due to replication, some partitions have leaders and followers, so there's some overlap and not-perfect distribution. Each broker stores approximately 2/3 of the total topic data (since each broker holds replicas for around 2/3 of the partitions).
2/3 × 750 GB = 500 GB, but this is shared, so each broker ends up storing ~300 GB of replicated data, including its share of leaders and followers.

NEW QUESTION # 38
......

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CCAAK Valid Braindumps Ebook - CCAAK Reliable Test Testking

CCAAK Valid Braindumps Ebook - Confluent CCAAK Reliable Test Testking: Confluent Certified Administrator for Apache Kafka Pass for Sure

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Confluent Certified Administrator for Apache Kafka Sample Questions (Q33-Q38):

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