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Confluent Certified Developer for Apache Kafka (CCDAK) Certification Examination is a highly regarded certification program that is designed to test an individual’s knowledge of Apache Kafka and its associated technologies. Confluent Certified Developer for Apache Kafka Certification Examination certification program is offered by Confluent, a leading company in the field of event streaming platforms, and is aimed at developers who want to demonstrate their expertise in building applications that utilize the Kafka ecosystem.

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The CCDAK Certification Exam covers a range of topics related to Kafka-based solutions, including Kafka architecture, basic and advanced Kafka APIs, Kafka Streams, Kafka Connect, and Kafka security. CCDAK exam is designed to test the ability of the developer to design and implement a Kafka-based solution that meets the requirements of a given use case, as well as troubleshoot and optimize Kafka-based solutions.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q70-Q75):

NEW QUESTION # 70
What is a consequence of increasing the number of partitions in an existing Kafka topic?

Answer: D

Explanation:
Increasing partitions increases parallelism, but also means:
Consumers in a group may have to handle more partitions, especially if the number of consumers is lower than the number of partitions.
This can result in increased lag, especially under high load.
From Kafka Topic Management Docs:
"Increasing the number of partitions increases consumer work, and if consumers can't keep up, lag can accumulate." A is false: existing data is not redistributed.
B is false: records with the same key always map to the same partition based on hash.
D is not directly impacted by the partition count.
Reference: Kafka Topic Management > Adding Partitions


NEW QUESTION # 71
You have a Kafka Connect cluster with multiple connectors.
One connector is not working as expected.
How can you find logs related to that specific connector?

Answer: A

Explanation:
To isolate logs for a specific connector, you can configurea separate logger and appenderin theConnect worker's log4j.propertiesfile, using the connector's name as the logging context.
FromKafka Connect Logging Docs:
"Kafka Connect loggers use hierarchical logger names. You can configure per-connector log levels and output files by extending log4j.properties."
* A and C change verbosity but don't separate logs.
* D is false; targeted logging is possible.
Reference:Kafka Connect > Logging and Debugging


NEW QUESTION # 72
What is a generic unique id that I can use for messages I receive from a consumer?

Answer: B

Explanation:
(Topic,Partition,Offset) uniquely identifies a message in Kafka


NEW QUESTION # 73
An application is writing AVRO messages using Schema Registry to topic t1. During this process, the Schema Registry becomes unavailable for a few seconds.
What is the expected impact to the application?

Answer: D


NEW QUESTION # 74
Which producer exceptions are examples of the class RetriableException? (Choose 2.)

Answer: A,D


NEW QUESTION # 75
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