Free Confluent CCDAK Exam Actual Questions & Explanations

Last updated on: Aug 14, 2026
Author: Isaac Martin (Senior Learning Architect, Confluent Certification Program)

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.

CCDAK Exam Syllabus & Core Topics

Use this topic map to guide your study for Confluent CCDAK (Certified Developer for Apache Kafka) within the Confluent Certified Developer path.

  • Apache Kafka Fundamentals: Understand core concepts including brokers, topics, partitions, consumer groups, and replication. You must be able to explain how Kafka ensures durability, how partitions enable parallelism, and how offset management works in consumer applications.
  • Apache Kafka Application Development: Write producer and consumer applications using the Kafka client libraries. Demonstrate how to handle serialization, configure client settings for reliability, manage errors, and implement idempotent producers to prevent duplicate messages.
  • Apache Kafka Streams: Build stream processing topologies using the Kafka Streams API. You should be able to design stateless and stateful operations, manage state stores, handle windowing, and implement exactly-once semantics in your applications.
  • Application Testing: Design and execute tests for Kafka applications using embedded brokers and test utilities. Learn to validate producer/consumer logic, verify stream topology behavior, and ensure error handling works as expected in different failure scenarios.
  • Application Observability: Monitor and troubleshoot Kafka applications using metrics, logs, and distributed tracing. You must interpret key performance indicators, identify bottlenecks, and use observability tools to diagnose issues in production environments.

Question Formats & What They Test

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.

  • Multiple choice: Test your understanding of Kafka architecture, API behavior, configuration options, and best practices. These items focus on definitions, feature interactions, and key terminology.
  • Scenario-based items: Present realistic development challenges where you analyze code snippets, configuration choices, or system designs. You select the best solution based on requirements like performance, reliability, or cost.
  • Code analysis: Evaluate producer, consumer, or Streams application code to identify bugs, inefficiencies, or missing error handling. These items test your ability to read and reason about actual Kafka client code.

Preparation Guidance

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.

  • Map Apache Kafka Fundamentals, Apache Kafka Application Development, Apache Kafka Streams, Application Testing, and Application Observability to weekly study goals. Track your progress and adjust pace based on practice test results.
  • Work through practice question sets and carefully review explanations for both correct and incorrect options. Understanding the reasoning behind answers is more valuable than memorizing facts.
  • Connect concepts across topics: for example, understand how serialization (Application Development) affects observability (Application Observability), or how state stores (Kafka Streams) must be tested (Application Testing).
  • Complete a timed practice test in exam conditions one week before your scheduled exam. This builds pacing awareness and reduces test-day anxiety.
  • Review Confluent documentation for any topics where practice questions reveal gaps in your knowledge.

Explore other Confluent certifications: view all Confluent exams.

Get the PDF & Practice Test

Strengthen your preparation with up-to-date resources from validexamdumps.com. These materials align to CCDAK and cover practical scenarios with clear explanations.

  • Q&A PDF with explanations: Topic-mapped questions that clarify why correct options are right and others aren't.
  • Practice Test: Realistic items, timed and untimed modes, progress tracking, and detailed review sections.
  • Focused coverage: Aligned to Apache Kafka Fundamentals, Apache Kafka Application Development, Apache Kafka Streams, Application Testing, and Application Observability so you study what matters most.
  • Regular updates: Content refreshes that reflect syllabus and product changes.

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.

Frequently Asked Questions

Which topics carry the most weight on the CCDAK exam?

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.

How do the five exam domains connect in real Kafka projects?

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.

How much hands-on experience do I need before taking CCDAK?

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.

What are the most common mistakes candidates make on this exam?

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.

What should I focus on in my final week before the exam?

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.

Question No. 1

There are 3 brokers in the cluster. You want to create a topic with a single partition that is resilient to one broker failure and one broker maintenance. What is the replication factor will you specify while creating the topic?

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Correct Answer: B

1 is not possible as it doesn't provide resilience to failure, 2 is not enough as if we take a broker down for maintenance, we cannot tolerate a broker failure, and 6 is impossible as we only have 3 brokers (RF cannot be greater than the number of brokers). Here the correct answer is 3


Question No. 2

The exactly once guarantee in the Kafka Streams is for which flow of data?

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Correct Answer: A

Kafka Streams can only guarantee exactly once processing if you have a Kafka to Kafka topology.


Question No. 3

A Zookeeper ensemble contains 5 servers. What is the maximum number of servers that can go missing and the ensemble still run?

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Correct Answer: C

majority consists of 3 zk nodes for 5 nodes zk cluster, so 2 can fail


Question No. 4

When auto.create.topics.enable is set to true in Kafka configuration, what are the circumstances under which a Kafka broker automatically creates a topic? (select three)

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Correct Answer: A, B, D

A kafka broker automatically creates a topic under the following circumstances- When a producer starts writing messages to the topic - When a consumer starts reading messages from the topic - When any client requests metadata for the topic


Question No. 5

In Kafka, every broker... (select three)

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Correct Answer: B, E, F

Kafka topics are divided into partitions and spread across brokers. Each brokers knows about all the metadata and each broker is a bootstrap broker, but only one of them is elected controller