Confluent CCDAK exam dumps : Confluent Certified Developer for Apache Kafka Certification Examination

  • Exam Code: CCDAK
  • Exam Name: Confluent Certified Developer for Apache Kafka Certification Examination
  • Updated: Aug 25, 2026     Q & A: 92 Questions and Answers

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Confluent CCDAK Exam Syllabus Topics:

SectionObjectives
Topic 1: Kafka Streams and Processing- Event processing patterns
  • 1. Exactly-once semantics
    • 2. Windowing and aggregation
      - Kafka Streams API
      • 1. Stateful vs stateless processing
        • 2. Stream processing fundamentals
          Topic 2: Kafka Producers and Consumers- Producer API
          • 1. Reliability and acknowledgments
            • 2. Serialization and partitioning strategies
              - Consumer API
              • 1. Rebalancing and offset commits
                • 2. Consumer groups
                  Topic 3: Kafka Ecosystem and Confluent Platform- Schema Registry
                  • 1. Avro, Protobuf, JSON Schema usage
                    - ksqlDB and connectors
                    • 1. Stream querying concepts
                      • 2. Kafka Connect basics
                        Topic 4: Kafka Fundamentals- Kafka architecture and core concepts
                        • 1. Brokers, topics, partitions
                          • 2. Replication and fault tolerance
                            - Data flow in Kafka
                            • 1. Offset management
                              • 2. Producer and consumer model

                                Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:

                                1. Which tool can you use to modify the replication factor of an existing topic?

                                A) kafka-recreate-topic.sh
                                B) kafka-reassign-topics.sh
                                C) kafka-reassign-partitions.sh
                                D) kafka-topics.sh


                                2. (You have a Kafka Connect cluster with multiple connectors deployed.
                                One connector is not working as expected.
                                You need to find logs related to that specific connector to investigate the issue.
                                How can you find the connector's logs?)

                                A) Make no change; there is no way to isolate connector logs.
                                B) Modify the log4j.properties file to add a dedicated log appender for the connector.
                                C) Modify the log4j.properties file to enable connector context.
                                D) Change the log level to DEBUG to include connector context information.


                                3. You want to connect with username and password to a secured Kafka cluster that has SSL encryption.
                                Which properties must your client include?

                                A) security.protocol=PLAINTEXTsasl.jaas.config=org.apache.kafka.common.security.ssl.
                                TlsLoginModule required username='myUser' password='myPassword';
                                B) security.protocol=SSLsasl.jaas.config=org.apache.kafka.common.security.plain.PlainLoginModule required username='myUser' password='myPassword';
                                C) security.protocol=SASL_PLAINTEXTsasl.jaas.config=org.apache.kafka.common.security.plain.
                                PlainLoginModule required username='myUser' password='myPassword';
                                D) security.protocol=SASL_SSLsasl.jaas.config=org.apache.kafka.common.security.plain.
                                PlainLoginModule required username='myUser' password='myPassword';


                                4. (You want to enrich the content of a topic by joining it with key records from a second topic.
                                The two topics have a different number of partitions.
                                Which two solutions can you use?
                                Select two.)

                                A) Use a KStream-KTable join; Kafka Streams will automatically repartition the topics to satisfy the co- partitioning constraint.
                                B) Use a GlobalKTable for one of the topics where data does not change frequently and use a KStream- GlobalKTable join.
                                C) Create as many Kafka Streams application instances as the maximum number of partitions of the two topics and use a KStream-KTable join.
                                D) Repartition one topic to a new topic with the same number of partitions as the other topic (co- partitioning constraint) and use a KStream-KTable join.


                                5. (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.)

                                A) Use a callback argument in producer.send() where you check delivery status.
                                B) Surround the call to producer.send() with a try/catch block to catch KafkaException.
                                C) Check that producer.send() returned a RecordMetadata object and is not null.
                                D) Check the value of ProducerRecord.status().


                                Solutions:

                                Question # 1
                                Answer: C
                                Question # 2
                                Answer: B
                                Question # 3
                                Answer: D
                                Question # 4
                                Answer: B,D
                                Question # 5
                                Answer: A,B

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