2026 Confluent Authoritative CCDAK: Practical Confluent Certified Developer for Apache Kafka Certification Examination Information

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Confluent CCDAK certification exam covers a wide range of topics related to Kafka, including Kafka architecture, Kafka clusters, Kafka streams, Kafka security, and Kafka monitoring. Confluent Certified Developer for Apache Kafka Certification Examination certification exam is designed for developers who have experience with Kafka and want to validate their skills and knowledge in the field. CCDAK exam is designed to test the understanding and expertise of developers in Kafka and related technologies.

Confluent Certified Developer for Apache Kafka (CCDAK) certification exam is a professional-level exam designed to test the skills and knowledge required to develop and deploy Kafka-based solutions. CCDAK Exam is intended for developers who are experienced in Apache Kafka and are seeking to validate their skills and knowledge with a recognized certification.

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Confluent CCDAK (Confluent Certified Developer for Apache Kafka Certification Examination) Certification Exam is designed to test the knowledge and skills of developers who work with Apache Kafka. Apache Kafka is a popular distributed streaming platform that is used by many organizations to handle large amounts of data in real-time. The CCDAK Certification Exam is an industry-recognized certification that validates the expertise of developers in designing, building, and managing Apache Kafka applications.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q32-Q37):

NEW QUESTION # 32
What exceptions may be caught by the following producer? (select two)
ProducerRecord<String, String> record =
new ProducerRecord<>("topic1", "key1", "value1");
try {
producer.send(record);
} catch (Exception e) {
e.printStackTrace();
}

Answer: A,B

Explanation:
These are the client side exceptions that may be encountered before message is sent to the broker, and before a future is returned by the .send() method.


NEW QUESTION # 33
Compaction is enabled for a topic in Kafka by setting log.cleanup.policy=compact. What is true about log compaction?

Answer: D

Explanation:
Log compaction retains at least the last known value for each record key for a single topic partition. All compacted log offsets remain valid, even if record at offset has been compacted away as a consumer will get the next highest offset.


NEW QUESTION # 34
What Java library is KSQL based on?

Answer: A

Explanation:
KSQL is based on Kafka Streams and allows you to express transformations in the SQL language that get automatically converted to a Kafka Streams program in the backend


NEW QUESTION # 35
A producer application in a developer machine was able to send messages to a Kafka topic. After copying the producer application into another developer's machine, the producer is able to connect to Kafka but unable to produce to the same Kafka topic because of an authorization issue. What is the likely issue?

Answer: A

Explanation:
ACLs take "Host" as a parameter, which represents an IP. It can be * (all IP), or a specific IP. Here, it's a specific IP as moving a producer to a different machine breaks the consumer, so the ACL needs to be updated


NEW QUESTION # 36
Clients that connect to a Kafka cluster are required to specify one or more brokers in the bootstrap.servers parameter.
What is the primary advantage of specifying more than one broker?

Answer: A

Explanation:
The bootstrap.servers setting is used by clients (producers and consumers) to initially connect to the Kafka cluster. It does not need to list all brokers-just a few that are up and reachable. The client will then use the cluster metadata to discover the full broker list.
From Kafka Java Client Configuration Docs:
"This is a list of host/port pairs to use for establishing the initial connection to the Kafka cluster. The client will make use of all servers irrespective of which servers are specified here for bootstrapping." Hence, listing multiple brokers provides redundancy and fault tolerance in the event one is down during client startup.
Reference: Apache Kafka Java Client Configuration > bootstrap.servers


NEW QUESTION # 37
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