The Confluent CCDAK exam, also known as Certified Developer for Apache Kafka, is part of the Confluent Certified Developer track. It is designed for developers who work with Apache Kafka and want to validate their ability to build, test, and monitor event-driven applications. Earning this certification helps demonstrate practical knowledge of Kafka fundamentals, application development, streams, testing, and observability. For professionals aiming to strengthen their Kafka development skills, this exam is an important career milestone.
| # | Exam Topics | Sub-Topics | Approximate Weightage (%) |
|---|---|---|---|
| 1 | Apache Kafka® Fundamentals | Kafka architecture, brokers and topics, partitions and replication, producers and consumers | 20% |
| 2 | Apache Kafka® Application Development | Client configuration, message production and consumption, serialization, error handling | 25% |
| 3 | Apache Kafka® Streams | Stream processing concepts, topology design, transformations, stateful operations | 25% |
| 4 | Application Testing | Unit testing Kafka applications, test setup, validating records, debugging behavior | 15% |
| 5 | Application Observability | Monitoring application health, logging, metrics, tracing, runtime troubleshooting | 15% |
This exam tests more than theory. Candidates need a solid understanding of Kafka concepts, hands-on application development skills, and the ability to work with streams, testing, and observability in real development scenarios. Success requires practical knowledge and the confidence to apply it under exam conditions.
QA4Exam.com offers an Exam PDF with actual questions and answers plus an Online Practice Test to help you prepare efficiently for the Confluent CCDAK exam. The practice test gives you a real exam simulation so you can get familiar with the question style, pacing, and time management needed on exam day. You also get up-to-date questions with verified answers, which helps you review important concepts with confidence. By practicing in a realistic format, you can identify weak areas early and improve your readiness for a first attempt pass. This combination of PDF study material and interactive practice makes exam preparation more focused and effective.
The CCDAK exam is the Certified Developer for Apache Kafka certification from Confluent. It validates your ability to develop, test, and observe Kafka-based applications.
It is intended for developers who work with Apache Kafka and want to prove their practical application development skills. It is a strong fit for professionals building event-driven solutions.
The exam can be challenging because it covers Kafka fundamentals, application development, streams, testing, and observability. Candidates who study the topics carefully and practice with realistic questions are better prepared.
Using dumps alone is not the best approach. You should combine them with hands-on practice and topic review so you understand the concepts behind the answers.
Hands-on experience is highly valuable because CCDAK focuses on practical Kafka development skills. Real use of Kafka applications, streams, testing, and observability can improve your confidence and accuracy.
The Exam PDF and Online Practice Test help you study actual questions and answers, simulate the exam environment, and practice time management. This makes it easier to identify gaps and improve before test day.
QA4Exam.com provides an Exam PDF and an Online Practice Test. Together they offer flexible study options for review, practice, and exam simulation.
A Kafka producer application wants to send log messages to a topic that does not include any key. What are the properties that are mandatory to configure for the producer configuration? (select three)
Both key and value serializer are mandatory.
You are doing complex calculations using a machine learning framework on records fetched from a Kafka topic. It takes more about 6 minutes to process a record batch, and the consumer enters rebalances even though it's still running. How can you improve this scenario?
Here, we need to change the setting max.poll.interval.ms (default 300000) to its double in order to tell Kafka a consumer should be considered dead if the consumer only if it hasn't called the .poll() method in 10 minutes instead of 5.
To transform data from a Kafka topic to another one, I should use
Kafka Streams is a library for building streaming applications, specifically applications that transform input Kafka topics into output Kafka topics
If I want to have an extremely high confidence that leaders and replicas have my data, I should use
acks=all means the leader will wait for all in-sync replicas to acknowledge the record. Also the min in-sync replica setting specifies the minimum number of replicas that need to be in-sync for the partition to remain available for writes.
A kafka topic has a replication factor of 3 and min.insync.replicas setting of 2. How many brokers can go down before a producer with acks=1 can't produce?
min.insync.replicas does not impact producers when acks=1 (only when acks=all)
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