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Confluent CCDAK (Confluent Certified Developer for Apache Kafka Certification Examination) is a certification exam designed for developers who are interested in Apache Kafka, an open-source distributed event streaming platform. CCDAK exam is offered by Confluent, a company that provides a platform for managing and scaling real-time data streams. Confluent Certified Developer for Apache Kafka Certification Examination certification aims to validate the developer's knowledge and skills in building and managing Kafka applications.

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To become certified as a Confluent CCDAK certified developer for Apache Kafka, candidates must pass a rigorous online examination. CCDAK exam is computer-based and consists of 90 multiple choice questions, and has a time limit of 120 minutes. CCDAK exam is designed to challenge the technical skills and knowledge needed for creating and managing Apache Kafka applications using Confluent's platform. Passing the Confluent CCDAK Exam demonstrates a proficiency in working with Kafka streams in a distributed environment using Confluent platform, allowing candidates to leverage this certification to advance their careers.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q54-Q59):

NEW QUESTION # 54
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?

Answer: D

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


NEW QUESTION # 55
What is the default port that the KSQL server listens on?

Answer: D

Explanation:
Default port of KSQL server is 8088


NEW QUESTION # 56
(You want to read messages from all partitions of a topic in every consumer instance of your application.
How do you do this?)

Answer: D

Explanation:
According to the Apache Kafka Consumer API documentation, the assign() method allows a consumer to manually assign specific partitions to itself, bypassing Kafka's consumer group coordination and rebalancing mechanism. When a consumer uses assign() with all partitions of a topic, that consumer will read from every partition, regardless of how many other consumers exist.
This behavior is required when every consumer instance must independently read the full dataset, such as in auditing, monitoring, or replication use cases. In contrast, subscribe() is designed for consumer group usage, where partitions are distributed among consumers, ensuring that each partition is consumed by only one consumer in the group.
Option B is invalid because assign() requires a collection of TopicPartition objects, not just a topic name.
Option C still uses group coordination and does not guarantee all partitions per consumer. Option D is invalid because an empty group ID is not supported by Kafka.
Thus, explicitly calling assign() with all topic partitions is the only correct and documented way to ensure each consumer reads from all partitions.


NEW QUESTION # 57
You are working on an Orders microservice Thai is publishing messages lo an Orders topic. II is a business requirement that the Orders for a given customer are processed sequentially. Also, the Orders topic is partitioned tor scalability.
Which factors would you need to address during application development?

Answer: B


NEW QUESTION # 58
In Java, Avro SpecificRecords classes are

Answer: A

Explanation:
SpecificRecord is created from generated record classes


NEW QUESTION # 59
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