Confluent CCDAK Hot Questions Reliable IT Certifications | CCDAK: Confluent Certified Developer for Apache Kafka Certification Examination

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The CCDAK Certification Exam is open to developers of all levels of experience, from beginners to advanced users. However, it is recommended that candidates have some experience working with Kafka before taking the exam. Candidates who pass the exam receive a certification that demonstrates their proficiency in working with Kafka, which can be a valuable asset in their careers.

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2026 Latest CCDAK Hot Questions | Confluent Certified Developer for Apache Kafka Certification Examination 100% Free High Quality

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Confluent CCDAK Certification Exam is an industry-recognized certification that helps developers advance their careers and demonstrate their expertise in Apache Kafka. Confluent Certified Developer for Apache Kafka Certification Examination certification is offered by Confluent, a leading company in the Apache Kafka ecosystem. Confluent Certified Developer for Apache Kafka Certification Examination certification is a valuable asset for developers who want to work with Kafka-based applications and solutions, and it is highly regarded by organizations that use Kafka for their data processing needs. Confluent Certified Developer for Apache Kafka Certification Examination certification demonstrates a developer's proficiency in Kafka and helps them stand out in a competitive job market.

The CCDAK Certification Exam covers a wide range of topics related to Apache Kafka, including core Kafka concepts, Kafka cluster management, Kafka Streams, and Kafka Connect. CCDAK exam also includes hands-on exercises that require developers to demonstrate their ability to apply their knowledge of Kafka to real-world scenarios.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q84-Q89):

NEW QUESTION # 84
You are writing a producer application and need to ensure proper delivery. You configure the producer with acks=all.
Which two actions should you take to ensure proper error handling?
(Select two.)

Answer: A,D

Explanation:
For proper delivery handling with acks=all:
* Usecallbackto log or act on success/failure.
* Usetry/catchto handle synchronous exceptions like serialization errors or network failures.
FromKafka Producer Documentation:
"Errors can be caught either via the returned Future<RecordMetadata> or via the callback interface. For fatal errors, use a try/catch block around the send call." Option B is incorrect because send() returns a Future, not RecordMetadata directly.
Option D is invalid - ProducerRecord has no method called status().
Reference:Kafka Producer Error Handling and Callback APIs


NEW QUESTION # 85
Producing with a key allows to...

Answer: A

Explanation:
Keys are necessary if you require strong ordering or grouping for messages that share the same key. If you require that messages with the same key are always seen in the correct order, attaching a key to messages will ensure messages with the same key always go to the same partition in a topic. Kafka guarantees order within a partition, but not across partitions in a topic, so alternatively not providing a key - which will result in round-robin distribution across partitions - will not maintain such order.


NEW QUESTION # 86
You are using JDBC source connector to copy data from 3 tables to three Kafka topics. There is one connector created with max.tasks equal to 2 deployed on a cluster of 3 workers. How many tasks are launched?

Answer: A

Explanation:
here, we have three tables, but the max.tasks is 2, so that's the maximum number of tasks that will be created


NEW QUESTION # 87
Kafka is configured with following parameters - log.retention.hours = 168 log.retention.minutes = 168 log.
retention.ms = 168 How long will the messages be retained for?

Answer: A

Explanation:
If more than one similar config is specified, the smaller unit size will take precedence.


NEW QUESTION # 88
To prevent network-induced duplicates when producing to Kafka, I should use

Answer: D

Explanation:
Producer idempotence helps prevent the network introduced duplicates. More details herehttps://cwiki.apache.
org/confluence/display/KAFKA/Idempotent+Producer


NEW QUESTION # 89
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