The Confluent Certified Developer for Apache Kafka (CCDAK) exam validates your ability to build, deploy, and maintain event streaming applications on Apache Kafka. This certification is designed for developers who work with Kafka in production environments and need to demonstrate practical expertise. This page provides a clear roadmap of the exam syllabus, question formats, and actionable preparation strategies to help you pass with confidence.
Use this topic map to guide your study for Confluent CCDAK (Certified Developer for Apache Kafka) within the Confluent Certified Developer path.
The CCDAK exam uses multiple question types to assess both conceptual knowledge and practical problem-solving ability. Questions progress in difficulty and reflect real-world scenarios you will encounter as a Kafka developer.
Effective preparation requires mapping the five exam domains to a structured study plan and practicing with realistic questions. Allocate time proportionally to each topic, prioritizing areas where you have less hands-on experience. Regular practice and review of explanations will reinforce weak areas and build confidence.
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Visit the exam page to download the PDF, Online Practice Test, or get a Bundle Discount offer for both formats: Certified Developer for Apache Kafka.
Apache Kafka Application Development and Apache Kafka Streams typically account for the largest portion of exam items because they test hands-on development skills. However, all five domains are important; a strong foundation in Fundamentals supports your ability to answer scenario-based questions correctly.
In practice, you start with Fundamentals knowledge to design your architecture, move to Application Development to build producers and consumers, use Kafka Streams for event processing logic, write tests to validate behavior, and finally deploy observability to monitor production. Understanding these connections helps you answer questions that span multiple topics.
Ideally, you should have built at least one complete Kafka application (producer, consumer, or Streams topology) in a development or test environment. This experience helps you understand configuration trade-offs and error scenarios. If you lack hands-on exposure, prioritize labs and code examples in your study plan.
Candidates often overlook configuration details (like acks, retries, or consumer group settings), misunderstand offset management, or confuse stateless versus stateful operations in Streams. Carefully read scenario questions to identify what the code is trying to achieve, and always consider edge cases like broker failures or network delays.
Review your practice test results to identify weak topics, then re-read explanations for those items rather than re-memorizing facts. Take one full-length timed practice test to build confidence and check your pacing. On the day before the exam, review key definitions and architecture diagrams, but avoid cramming new material.
To import data from external databases, I should use
Kafka Connect Sink is used to export data from Kafka to external databases and Kafka Connect Source is used to import from external databases into Kafka.
How will you find out all the partitions where one or more of the replicas for the partition are not in-sync with the leader?
To produce data to a topic, a producer must provide the Kafka client with...
All brokers can respond to a Metadata request, so a client can connect to any broker in the cluster and then figure out on its own which brokers to send data to.
What isn't an internal Kafka Connect topic?
connect-configs stores configurations, connect-status helps to elect leaders for connect, and connect-offsets store source offsets for source connectors
To allow consumers in a group to resume at the previously committed offset, I need to set the proper value for...
Setting a group.id that's consistent across restarts will allow your consumers part of the same group to resume reading from where offsets were last committed for that group