100% PASS 2025 CONFLUENT AUTHORITATIVE CCDAK: REAL CONFLUENT CERTIFIED DEVELOPER FOR APACHE KAFKA CERTIFICATION EXAMINATION EXAM QUESTIONS

100% Pass 2025 Confluent Authoritative CCDAK: Real Confluent Certified Developer for Apache Kafka Certification Examination Exam Questions

100% Pass 2025 Confluent Authoritative CCDAK: Real Confluent Certified Developer for Apache Kafka Certification Examination Exam Questions

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Confluent CCDAK certification is a globally recognized certification that validates a developer's expertise in Apache Kafka. Confluent Certified Developer for Apache Kafka Certification Examination certification exam tests the developer's knowledge and skills in building and managing Kafka-based applications. The CCDAK certification is a valuable asset for developers who want to advance their careers in the field of big data and data engineering.

The CCDAK certification exam is administered by Confluent, the creators of Apache Kafka. Confluent is a company that provides an enterprise-ready distribution of Apache Kafka, along with tools and services for building and managing Kafka-based applications. Confluent Certified Developer for Apache Kafka Certification Examination certification exam is intended for developers who work with Apache Kafka in their day-to-day roles and want to validate their skills and knowledge.

The prominence of Kafka and streaming data has made the Confluent CCDAK Certification Exam an essential credential for IT professionals. The Confluent certification is an excellent way for IT professionals to demonstrate their skills and experience in Apache Kafka development in today's fast-changing technology ecosystem. Confluent Certified Developer for Apache Kafka Certification Examination certification also serves as a benchmark for employers looking to measure a candidate's expertise in Apache Kafka development before hiring them.

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q25-Q30):

NEW QUESTION # 25
Once sent to a topic, a message can be modified

  • A. No
  • B. Yes

Answer: A

Explanation:
Kafka logs are append-only and the data is immutable


NEW QUESTION # 26
A customer has many consumer applications that process messages from a Kafka topic. Each consumer application can only process 50 MB/s. Your customer wants to achieve a target throughput of 1 GB/s. What is the minimum number of partitions will you suggest to the customer for that particular topic?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: B

Explanation:
each consumer can process only 50 MB/s, so we need at least 20 consumers consuming one partition so that 50 * 20 = 1000 MB target is achieved.


NEW QUESTION # 27
Compaction is enabled for a topic in Kafka by setting log.cleanup.policy=compact. What is true about log compaction?

  • A. Each message stored in the topic is compressed
  • B. After cleanup, only one message per key is retained with the first value
  • C. Kafka automatically de-duplicates incoming messages based on key hashes
  • D. After cleanup, only one message per key is retained with the latest value

Answer: D

Explanation:
Compaction changes the offset of messages
Explanation:
Log compaction retains at least the last known value for each record key for a single topic partition. All compacted log offsets remain valid, even if record at offset has been compacted away as a consumer will get the next highest offset.


NEW QUESTION # 28
A client connects to a broker in the cluster and sends a fetch request for a partition in a topic. It gets an exception Not Leader For Partition Exception in the response. How does client handle this situation?

  • A. Send fetch request to each Broker in the cluster
  • B. Send metadata request to the same broker for the topic and select the broker hosting the leader replica
  • C. Get the Broker id from Zookeeper that is hosting the leader replica and send request to it
  • D. Send metadata request to Zookeeper for the topic and select the broker hosting the leader replica

Answer: B

Explanation:
In case the consumer has the wrong leader of a partition, it will issue a metadata request. The Metadata request can be handled by any node, so clients know afterwards which broker are the designated leader for the topic partitions. Produce and consume requests can only be sent to the node hosting partition leader.


NEW QUESTION # 29
There are 3 producers writing to a topic with 5 partitions. There are 5 consumers consuming from the topic.
How many Controllers will be present in the cluster?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: D

Explanation:
There is only one controller in a cluster at all times.


NEW QUESTION # 30
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