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[General] Pass Guaranteed 2026 Useful CCAAK: Confluent Certified Administrator for Apache

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【General】 Pass Guaranteed 2026 Useful CCAAK: Confluent Certified Administrator for Apache

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These Confluent Certified Administrator for Apache Kafka (CCAAK) practice test questions also boost your confidence. If you have prepared well, tried all the Confluent Confluent Certified Administrator for Apache Kafka Certification Exams, and understood each concept clearly, there is minimal or no chance of failure. Desktop Practice exam software and web-based Confluent Certified Administrator for Apache Kafka (CCAAK) practice test are available at Lead2Passed.
Confluent CCAAK Exam Syllabus Topics:
TopicDetails
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
  • 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 4
  • 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 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.
Topic 6
  • 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 (Q48-Q53):NEW QUESTION # 48
How does Kafka guarantee message integrity after a message is written on a disk?
  • A. A message can be edited by the producer, producing to the message offset.
  • B. A message cannot be altered once it has been written.
    C A message can be grouped with message sharing the same key to improve read performance
  • C. Only message metadata can be altered using command line (CLI) tools.
Answer: B
Explanation:
Kafka ensures message immutability for data integrity. Once a message is written to a Kafka topic and persisted to disk, it cannot be modified. This immutability guarantees that consumers always receive the original message content, which is critical for auditability, fault tolerance, and data reliability.

NEW QUESTION # 49
Which secure communication is supported between the REST proxy and REST clients?
  • A. Kerberos
  • B. MD5
  • C. SCRAM
  • D. TLS (HTTPS)
Answer: D

NEW QUESTION # 50
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 message was updated on source cluster, but the update did not flow into destination DR cluster and errored.
  • B. The offsets for the messages on the source, destination cluster may not match.
  • C. The DR cluster is lagging behind updates; once the DR cluster catches up, the messages will match.
  • D. The message on DR cluster got over-written accidently by another application.
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 # 51
Which tool is used for scalably and reliably streaming data between Kafka and other data systems?
  • A. Kafka Schema Registry
  • B. Kafka Streams
  • C. Kafka Connect
  • D. Kafka REST Proxy
Answer: C
Explanation:
Kafka Connect is the tool designed for scalable and reliable integration between Kafka and external data systems (e.g., databases, cloud storage, key-value stores). It supports source connectors (to pull data into Kafka) and sink connectors (to push data from Kafka).

NEW QUESTION # 52
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. Consumers can read committed messages from partitions on broker id T, "2
  • B. Producers will only be able to write messages to the topic where the Leader for the partition is on Broker id T.
  • C. Producers can write messages to all the partitions, because new leaders for the partitions will be elected.
  • D. Producers and consumers will have no impact on six of the nine partitions.
Answer: D
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 # 53
......
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