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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.

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The CCDAK certification exam is a hands-on exam, where developers are required to complete a series of tasks in a Kafka cluster. The tasks include creating topics, producing and consuming messages, configuring Kafka brokers, and writing Kafka applications. CCDAK Exam is designed to test developers' ability to apply their knowledge of Kafka concepts in real-world scenarios and to ensure that they have the necessary skills to build and manage Kafka applications.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q89-Q94):

NEW QUESTION # 89
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);

Answer: B

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 # 90
The producer code below features a Callback class with a method called onCompletion().
When will the onCompletion() method be invoked?

Answer: A

Explanation:
The onCompletion() method of Kafka'sCallback interfaceis executedonce the broker acknowledgesthe message. This includes success or failure, and it isinvoked asynchronouslyby the producer.
FromKafka Java Client API Documentation:
"The onCompletion method will be called when the record sent to the server has been acknowledged, or when an error occurs." This ensures thatthe record was sent and acknowledged, not just added to a batch or local buffer.
Reference:Kafka Java Client API > org.apache.kafka.clients.producer.Callback


NEW QUESTION # 91
What is encoding and decoding of a message also known as?

Answer: A


NEW QUESTION # 92
(You deploy a Kafka Streams application with five application instances.
Kafka Streams stores application metadata using internal topics.
Auto-topic creation is disabled in the Kafka cluster.
Which statement about this scenario is true?)

Answer: B

Explanation:
According to the official Apache Kafka Streams documentation, Kafka Streams relies on internal topics (such as changelog topics and repartition topics) to store state, task assignments, and application metadata. These topics are essential for fault tolerance, rebalancing, and state recovery.
When auto-topic creation is disabled, Kafka Streams cannot automatically create the required internal topics unless they already exist. In this situation, the Streams application will fail during startup with a fatal, non- retriable exception, indicating that the necessary internal topics could not be created.
Kafka Streams does not pause or wait for manual topic creation, nor does it operate without storing metadata.
Instead, it explicitly requires these topics to exist or be creatable. While administrators can manually pre- create the required internal topics with the correct configuration, failure to do so causes the application to terminate.
Therefore, the correct and documented behavior is that the Kafka Streams application terminates with a non- retriable exception when auto-topic creation is disabled and required internal topics are missing.


NEW QUESTION # 93
Which type of system best describes Apache Kafka? (Choose 2.)

Answer: A,C


NEW QUESTION # 94
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