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Title: Valid CCDAK Test Sample, Latest CCDAK Braindumps [Print This Page]

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Title: Valid CCDAK Test Sample, Latest CCDAK Braindumps
2026 Latest Prep4away CCDAK PDF Dumps and CCDAK Exam Engine Free Share: https://drive.google.com/open?id=1RTCB55E38inhnSv17SAQnj0Q2_mywbfQ
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The CCDAK certification exam consists of a series of multiple-choice questions that assess the candidate's knowledge in various aspects of Kafka development. CCDAK exam covers topics such as Kafka architecture, Kafka APIs, Kafka Connect, Kafka Streams, and Kafka Security. Candidates must pass the exam with a minimum score of 70% to earn the CCDAK certification. Confluent Certified Developer for Apache Kafka Certification Examination certification is valid for two years and can be renewed by passing the recertification exam. The CCDAK certification program is an excellent way for developers to demonstrate their Kafka development skills, increase their marketability, and advance their careers in the field of big data and streaming technologies.
The CCDAK certification program is designed for developers who are looking to improve their skills and knowledge in Kafka development. Confluent Certified Developer for Apache Kafka Certification Examination certification program provides a comprehensive and structured approach to learning Kafka and its related technologies. By passing the CCDAK Certification Exam, developers can demonstrate their proficiency in Kafka development, which can lead to better job opportunities and higher salaries. The CCDAK certification program is an excellent way for developers to validate their skills and knowledge in Kafka development, and it is a valuable asset for individuals and organizations that use Kafka for data streaming and processing.
Confluent CCDAK or Confluent Certified Developer for Apache Kafka Certification Examination is an industry-recognized certification credential for developers who want to demonstrate their expertise in using Apache Kafka to build and operate data streaming applications. CCDAK examination is designed to validate the developers' knowledge, skills, and abilities in designing, developing, and managing enterprise-grade streaming applications using Apache Kafka.
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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q60-Q65):NEW QUESTION # 60
To produce data to a topic, a producer must provide the Kafka client with...
Answer: A
Explanation:
All brokers can respond to a Metadata request, so a client can connect to any broker in the cluster and then figure out on its own which brokers to send data to.

NEW QUESTION # 61
(You are writing lightweight XML messages to a Kafka topic named userinfo.
Which format should you use for the value field?)
Answer: A
Explanation:
Apache Kafka does not impose any schema or message format; it treats records as byte arrays on the wire.
Serialization is therefore the responsibility of the producer. For lightweight XML messages, the most common and recommended approach is to represent the XML as a UTF-8 encoded string and use Kafka's built-in StringSerializer.
The official Kafka producer documentation provides StringSerializer as the standard serializer for textual data formats, including XML and JSON. This serializer converts Java String objects into byte arrays using UTF-8 encoding, making it simple, efficient, and interoperable with a wide range of consumers.
Option A is incorrect because Kafka does not provide a built-in XmlSerializer. Option C (ByteSerializer) could technically work, but it would require manually converting the XML string to a byte array, which adds unnecessary complexity for lightweight XML payloads. Option D (VoidSerializer) is used only when no value is sent and is not applicable here.
Therefore, using StringSerializer for the value field is the correct and officially supported approach for sending lightweight XML messages in Kafka.

NEW QUESTION # 62
In Avro, adding a field to a record without default is a __ schema evolution
Answer: C
Explanation:
Clients with old schema will be able to read records saved with new schema.

NEW QUESTION # 63
In Kafka, every broker... (select three)
Answer: B,E,F
Explanation:
Kafka topics are divided into partitions and spread across brokers. Each brokers knows about all the metadata and each broker is a bootstrap broker, but only one of them is elected controller

NEW QUESTION # 64
What are stateful operations in Kafka Streams API? (Choose 2.)
Answer: A,D

NEW QUESTION # 65
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