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Confluent CCDAK or Confluent Certified Developer for Apache Kafka Certification Examination is an industry-recognized certification credential for developers who want to demonstrate their expertise in using Apache Kafka to build and operate data streaming applications. CCDAK examination is designed to validate the developers' knowledge, skills, and abilities in designing, developing, and managing enterprise-grade streaming applications using Apache Kafka.

The Confluent Certified Developer for Apache Kafka Certification Examination certification is an opportunity for developers to demonstrate their understanding of Kafka and its ecosystem components, as well as their hands-on experience in building Kafka-based applications. Confluent Certified Developer for Apache Kafka Certification Examination certification exam validates the candidate's Kafka knowledge, skillset, and ability to develop solutions that solve real-world Kafka use cases. Moreover, the CCDAK Certification is recognized worldwide, making it a valuable credential that can help software developers secure their next Kafka development role.

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The CCDAK Certification Exam tests the candidate's knowledge of Kafka's architecture, core concepts, and APIs. CCDAK exam also evaluates the candidate's ability to develop Kafka-based applications and troubleshoot common issues. It is a comprehensive exam that covers all aspects of Kafka technology, from installation and configuration to advanced topics like security and performance tuning.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q51-Q56):

NEW QUESTION # 51
A consumer application runs once a week and reads from a Kafka topic. The last time the application ran, the last offset processed was 217. The application is configured with auto.offset.reset set to "latest". The current offsets in the topic start at 318 and end at 588.
What offset will the application start reading when it starts up for its next run?

Answer: C


NEW QUESTION # 52
In Avro, adding a field to a record without default is a __ schema evolution

Answer: B

Explanation:
Clients with old schema will be able to read records saved with new schema.


NEW QUESTION # 53
Which of the following setting increases the chance of batching for a Kafka Producer?

Answer: D

Explanation:
linger.ms forces the producer to wait to send messages, hence increasing the chance of creating batches


NEW QUESTION # 54
A producer application was sending messages to a partition with a replication factor of 2 by connecting to Broker 1 that was hosting partition leader. If the Broker 1 goes down, what will happen?

Answer: B

Explanation:
Once the client connects to any broker, it is connected to the entire cluster and in case of leadership changes, the clients automatically do a Metadata Request to an available broker to find out who is the new leader for the topic. Hence the producer will automatically keep on producing to the correct Kafka Broker


NEW QUESTION # 55
If I want to send binary data through the REST proxy, it needs to be base64 encoded. Which component needs to encode the binary data into base 64?

Answer: A

Explanation:
The REST Proxy requires to receive data over REST that is already base64 encoded, hence it is the responsibility of the producer


NEW QUESTION # 56
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