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[General] Confluent CCAAK Test Dump & CCAAK Dumps Collection

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【General】 Confluent CCAAK Test Dump & CCAAK Dumps Collection

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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
  • 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
  • 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 4
  • 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 5
  • 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.

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Confluent Certified Administrator for Apache Kafka Sample Questions (Q27-Q32):NEW QUESTION # 27
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. Thrift
  • B. Protobuf
  • C. JSON
  • D. gRPC
  • E. Avro
Answer: B,C,E
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 # 28
You are managing a cluster with a large number of topics, and each topic has a lot of partitions. A team wants to significantly increase the number of partitions for some topics.
Which parameters should you check before increasing the partitions?
  • A. Check the max open file count on brokers.
  • B. Check if compression is being used.
  • C. Check if acks=all is beina used.
  • D. Check the producer batch size and buffer size.
Answer: A
Explanation:
Each Kafka partition maps to multiple log segment files, and each segment results in open file descriptors on the broker. When the number of partitions increases significantly, it can exceed the OS-level limit for open files per broker process, leading to failures or degraded performance. Therefore, it is essential to check and possibly increase the ulimit -n (max open files) setting on the broker machines.

NEW QUESTION # 29
Which use cases would benefit most from continuous event stream processing? (Choose three.)
  • A. End-of-day financial settlement processing
  • B. Fraud detection
  • C. Context-aware product recommendations for e-commerce
  • D. Log monitoring/application fault detection
  • E. Historical dashboards
Answer: B,C,D
Explanation:
Real-time analysis of transactions helps detect suspicious activity instantly.
Context-aware product recommendations for e-commerce requires real-time user behavior tracking to serve personalized recommendations.
Log monitoring/application fault detection needs immediate processing to alert on system issues or failures.

NEW QUESTION # 30
In certain scenarios, it is necessary to weigh the trade-off between latency and throughput. One method to increase throughput is to configure batching of messages.
In addition to batch.size, what other producer property can be used to accomplish this?
  • A. sendbufferbytes
  • B. delivery.timeout.ms
  • C. compression
  • D. linger.ms
Answer: D
Explanation:
The linger.ms property sets the maximum time the producer will wait before sending a batch, even if the batch isn't full. By increasing linger.ms, you allow more records to accumulate in the batch.

NEW QUESTION # 31
Which property in broker configuration specifies that a broker belongs to a particular rack?
Which property in broker configuration specifies that a broker belongs to a particular rack?
  • A. client.rack
  • B. broker.rack
  • C. kafka.rack
  • D. zookeeper.rack
Answer: B
Explanation:
The broker.rack property is used in a Kafka broker's configuration to specify the rack or availability zone the broker belongs to. This is important for rack-aware replica placement, allowing Kafka to distribute replicas across different racks for fault tolerance.

NEW QUESTION # 32
......
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