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The CCDAK exam covers a wide range of topics, including Kafka architecture and components, data modeling and serialization, producer and consumer APIs, Kafka Connect, Kafka Streams, and security. CCDAK exam consists of 60 multiple-choice questions and must be completed within two hours. Candidates who pass the exam will receive a Confluent Certified Developer for Apache Kafka certificate, which is valid for two years. The CCDAK certification is a rigorous exam that requires a deep understanding of Kafka's architecture and APIs, and passing it is a significant achievement for any developer.

The CCDAK Certification Exam is an important certification for developers who want to work with Kafka and Confluent's platform. It demonstrates to employers and clients that a developer has the skills and knowledge necessary to build and manage Kafka-based applications using Confluent's platform. In addition, the certification can help developers advance their careers and increase their earning potential.

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Confluent CCDAK Certification Exam is designed to be challenging and covers a variety of topics, including Kafka core concepts, Kafka ecosystem, developing Kafka producers and consumers, Kafka Connect, Kafka Streams, and several other application development and testing topics. Candidates who pass the certification exam will have demonstrated proficiency in working with the Confluent platform to develop and deploy Kafka-based applications, creating and using Avro schemas, and leveraging various Kafka tools and frameworks.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q33-Q38):

NEW QUESTION # 33
(You are developing a Java application that includes a Kafka consumer.
You need to integrate Kafka client logs with your own application logs.
Your application is using the Log4j2 logging framework.
Which Java library dependency must you include in your project?)

Answer: B

Explanation:
According to the official Apache Kafka client documentation, Kafka uses SLF4J (Simple Logging Facade for Java) for all client-side logging. SLF4J is only an abstraction layer and requires a concrete logging implementation to route log messages to the actual logging framework used by the application.
Since the application uses Log4j2, an SLF4J-to-Log4j2 binding must be provided. The correct and officially recommended dependency is org.apache.logging.log4j:log4j-slf4j-impl. This dependency acts as the SLF4J implementation and forwards all Kafka client log messages to Log4j2, ensuring consistent logging across the application.
Option B is incorrect because it targets the legacy Log4j 1.2 framework, which is deprecated and incompatible with Log4j2. Option C is insufficient because Log4j2 alone does not satisfy Kafka's SLF4J dependency. Option D is incorrect because Kafka intentionally does not include a logging implementation transitively, allowing applications to choose their preferred logging framework.
Therefore, including the SLF4J implementation for Log4j2 is required to properly integrate Kafka client logs.


NEW QUESTION # 34
Which of the following Kafka Streams operators are stateful? (select all that apply)

Answer: B,C,D,F

Explanation:
Seehttps://kafka.apache.org/20/documentation/streams/developer-guide/dsl-api.html#stateful-transformations


NEW QUESTION # 35
An application is consuming messages from Kafka.
The application logs show that partitions are frequently being reassigned within the consumer group.
Which two factors may be contributing to this?
(Select two.)

Answer: B,D

Explanation:
Frequentrebalancesin a consumer group occur when:
* Consumers are too slowand miss heartbeats (A), or
* Instances crash or restart, triggering group membership changes (D)
FromKafka Consumer Group Coordination Docs:
"If a consumer fails to send a heartbeat in time (due to slowness or crash), it is removed from the group, causing a rebalance." Option B (partition mismatch) affectsload balancing, not rebalance frequency.
Option C (broker storage) doesn't trigger consumer rebalances.
Reference:Kafka Consumer Group Coordination and Heartbeats


NEW QUESTION # 36
What happens when broker.rack configuration is provided in broker configuration in Kafka cluster?

Answer: D

Explanation:
Partitions for newly created topics are assigned in a rack alternating manner, this is the only change broker.
rack does


NEW QUESTION # 37
What does producing data to a topic with a message key allow?

Answer: C


NEW QUESTION # 38
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