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[Hardware] Passing CCAAK Exam Prep Materials - CCAAK Valid Braindumps - Dumps4PDF

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【Hardware】 Passing CCAAK Exam Prep Materials - CCAAK Valid Braindumps - Dumps4PDF

Posted at 1/23/2026 10:42:18      View：55 | Replies：1        Print      Only Author   [Copy Link] 1#
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Confluent CCAAK Exam Syllabus Topics:
TopicDetails
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
  • 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.

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Confluent Certified Administrator for Apache Kafka Sample Questions (Q10-Q15):NEW QUESTION # 10
Why does Kafka use ZooKeeper? (Choose two.)
  • A. To access information about the leaders and partitions
  • B. To prevent replication between clusters
  • C. To scale the number of brokers in the cluster
  • D. For controller election
Answer: A,D
Explanation:
ZooKeeper stores metadata such as partition leadership and ISR (in-sync replicas), which brokers use to coordinate.
Kafka uses ZooKeeper to perform leader election for the Controller broker, which manages cluster metadata and leadership changes.

NEW QUESTION # 11
Which out-of-the-box Kafka Authorizer implementation uses ZooKeeper?
  • A. Ranger
  • B. ACLs
  • C. LDAP
  • D. RBAC
Answer: B
Explanation:
Kafka's built-in ACL (Access Control List) authorizer stores and manages permissions using ZooKeeper by default. This implementation controls access at the resource level (topics, consumer groups, etc.).

NEW QUESTION # 12
A customer has a use case for a ksqlDB persistent query. You need to make sure that duplicate messages are not processed and messages are not skipped.
Which property should you use?
  • A. ksql.streams auto offset.reset=earliest
  • B. ksql.fail.on.production.error=false
  • C. processing.guarantee=exactly_once
  • D. ksql.streams auto.offset.reset=latest
Answer: C
Explanation:
processing.guarantee=exactly_once ensures that messages are processed exactly once by ksqlDB, preventing both duplicates and message loss.

NEW QUESTION # 13
You are using Confluent Schema Registry to provide a RESTful interface for storing and retrieving schemas.
Which types of schemas are supported? (Choose three.)
  • A. Protobuf
  • B. JSON
  • C. Avro
  • D. Thrift
  • E. gRPC
Answer: A,B,C
Explanation:
Avro is the original and most commonly used schema format supported by Schema Registry.
Confluent Schema Registry supports JSON Schema for validation and compatibility checks.
Protocol Buffers (Protobuf) are supported for schema management in Schema Registry.

NEW QUESTION # 14
You have a Kafka cluster with topics t1 and t2. In the output below, topic t2 shows Partition 1 with a leader "-1".
What is the most likely reason for this?
...
$ kafka-topics --zookeeper localhost:2181 --describe --topic t1
Topic:t1 PartitionCount 1 ReplicationFactor 1 Configs:
Topic: t1 Partition: 0 Leader: 0 Replicas: 0 Isr: 0
$ kafka-topics --zookeeper localhost:2181 --describe --topic t2
Topic:t2 PartitionCount 2 ReplicationFactor 1 Configs:
Topic: t2 Partition: 0 Leader: 0 Replicas: 0 Isr: 0
Topic: t2 Partition: 1 Leader: -1 Replicas: 1 Isr:
  • A. Leader shows "-1" while the log cleaner thread runs on Broker 1.
  • B. Broker 1 has another partition clashing with the same name.
  • C. Broker 1 failed.
  • D. Compression has been enabled on Broker 1.
Answer: C
Explanation:
A Leader of -1 indicates that no broker is currently the leader for that partition. This usually happens when the only replica for that partition is unavailable, often due to the associated broker (in this case, Broker 1) failing or being offline. Kafka cannot elect a leader if no replica is in the in-sync replica (ISR) list, which leads to leader = -1.

NEW QUESTION # 15
......
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Posted at yesterday 05:46        Only Author  2#
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