Confluent CCDAK : Confluent Certified Developer for Apache Kafka Certification Examination

Exam Code: CCDAK

Exam Name: Confluent Certified Developer for Apache Kafka Certification Examination

Updated: Oct 03, 2026

Q & A: 92 Questions and Answers

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Confluent CCDAK Exam Syllabus Topics:

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

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:

Question #1

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

Reveal Solution Discussion 0

Correct Answer: B,C 🗳️