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By passing the CCDAK certification exam, developers can demonstrate their proficiency in working with Apache Kafka and gain recognition for their skills in the industry. Confluent Certified Developer for Apache Kafka Certification Examination certification can help developers advance their careers and increase their earning potential, as well as help organizations identify and hire qualified Kafka developers.

The CCDAK certification exam is ideal for developers who are looking to establish their expertise in Apache Kafka and differentiate themselves in a competitive job market. CCDAK exam is designed to evaluate the candidate's proficiency in developing and deploying Kafka-based applications that meet the business requirements of modern data-driven organizations. Successful candidates receive a Confluent Certified Developer for Apache Kafka certificate, which demonstrates their mastery of the essential skills needed to build scalable and reliable data streaming applications using Apache Kafka.

Before taking the Confluent CCDAK Exam, developers should have a good understanding of Kafka fundamentals, including topics, partitions, brokers, producers, consumers, and Kafka Connect. They should also be proficient in Java or Scala programming languages and have experience working with REST APIs and command-line interfaces. It is recommended that developers attend the Confluent Developer Training or have equivalent experience before taking the exam.

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q240-Q245):

NEW QUESTION # 240
You have a topic t1 in a Kafka cluster. A producer running on host A can successfully write messages to t1.
Then, you move that producer code to run on host B, but it fails writing messages to t1.
What is a likely reason for that failure?

A. Topic T1 no longer exists in the same environment as host B.
B. Kafka ACLs are not configured to allow host B's IP address.
C. Another producer started writing to t1.
D. The producer is connecting to a different broker in the same cluster.

Answer: B

NEW QUESTION # 241
A consumer wants to read messages from partitions 0 and 1 of a topic topic1. Code snippet is shown below.
consumer.subscribe(Arrays.asList("topic1"));
List<TopicPartition> pc = new ArrayList<>();
pc.add(new PartitionTopic("topic1", 0));
pc.add(new PartitionTopic("topic1", 1));
consumer.assign(pc);

A. Throws IllegalStateException
B. This works fine. subscribe() will subscribe to the topic and assign() will assign partitions to the consumer.

Answer: A

Explanation:
subscribe() and assign() cannot be called by the same consumer, subscribe() is used to leverage the consumer group mechanism, while assign() is used to manually control partition assignment and reads assignment

NEW QUESTION # 242
A consumer has auto.offset.reset=latest, and the topic partition currently has data for offsets going from 45 to 2311. The consumer group never committed offsets for the topic before. Where will the consumer read from?

A. it will crash
B. offset 2311
C. offset 0
D. offset 45

Answer: B

Explanation:
Latest means that data retrievals will start from where the offsets currently end

NEW QUESTION # 243
In Avro, adding an element to an enum without a default is a __ schema evolution

A. full
B. backward
C. forward
D. breaking

Answer: D

Explanation:
Since Confluent 5.4.0, Avro 1.9.1 is used. Since default value was added to enum complex type , the schema resolution changed from:
(<1.9.1) if both are enums:** if the writer's symbol is not present in the reader's enum, then an error is signalled. **(>=1.9.1) if both are enums:
if the writer's symbol is not present in the reader's enum and the reader has a default value, then that value is used, otherwise an error is signalled.

NEW QUESTION # 244
A consumer sends a request to commit offset 2000. There is a temporary communication problem, so the broker never gets the request and therefore never responds. Meanwhile, the consumer processed another batch and successfully committed offset 3000. What should you do?

A. Restart the consumer
B. Use the kafka-consumer-group command to manually commit the offsets 2000 for the consumer group
C. Nothing
D. Add a new consumer to the group

Answer: C

Explanation:
In this case, because the offset 3000 has been committed and all the messages between 0 and 3000 have all been processed, it is okay not to have committed offset 2000. The right answer is to do "nothing", this behaviour is acceptable

NEW QUESTION # 245
......

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