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Confluent CCDAK Exam Overview:

Certification Vendor:Confluent
Exam Name:Confluent Certified Developer for Apache Kafka Certification Examination
Exam Number:CCDAK
Exam Price:$150 USD
Related Certifications:Confluent Certified Administrator for Apache Kafka (CCAAK)
Passing Score:Approximately 60%
Available Languages:English
Exam Format:Multiple Choice (Single Answer), Multiple Choice (Multiple Answers)
Real Exam Qty:60
Certificate Validity Period:3 years
Exam Duration:90 minutes
Sample Questions:Confluent CCDAK Sample Questions
Exam Way:Online proctored exam (Pearson VUE) or in-person testing center
Pre Condition:Recommended: 6+ months of hands-on experience with Apache Kafka and Confluent Platform. Familiarity with distributed systems concepts is strongly recommended.
Official Syllabus URL:https://www.confluent.io/certification/

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The Confluent CCDAK exam consists of 60 multiple-choice questions that must be completed within 90 minutes. The questions are designed to test the developer's knowledge of Kafka concepts and their ability to apply them in real-world scenarios. CCDAK Exam is available online and can be taken from anywhere in the world. The cost of the exam is $300, and developers who pass will receive a digital badge and certificate that they can use to showcase their certification.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q79-Q84):

NEW QUESTION # 79
What Java library is KSQL based on?

Answer: B

Explanation:
KSQL is based on Kafka Streams and allows you to express transformations in the SQL language that get automatically converted to a Kafka Streams program in the backend


NEW QUESTION # 80
A stream processing application is tracking user activity in online shopping carts.
You want to identify periods of user inactivity.
Which type of Kafka Streams window should you use?

Answer: B

Explanation:
Session windowsare ideal for trackingperiods of activity separated by inactivity, such as user sessions.
FromKafka Streams Documentation > Windowing:
"A session window captures streams of events that areintermittentand separated by agap of inactivity."
* Tumbling/Hopping/Sliding windows are fixed in size
* Session windows are dynamic and close after inactivity timeout
This makes them perfect for identifyinggaps in user interaction.
Reference:Kafka Streams Developer Guide > Session Windows


NEW QUESTION # 81
Which two producer exceptions are examples of the class RetriableException? (Select two.)

Answer: C,D

Explanation:
BothLeaderNotAvailableExceptionandNotEnoughReplicasExceptionare subclasses of RetriableException, which representstransient issuesthat may succeed upon retry.
FromApache Kafka Java Client Documentation:
"RetriableException indicates that the request can be retried. This includes network errors and certain broker- side failures like leader not available or not enough replicas."
* RecordTooLargeException and AuthorizationException arenon-retriablebecause they represent client misconfigurations or access issues.
Reference:Kafka Error Handling Guide > Retriable vs. Non-Retriable Exceptions


NEW QUESTION # 82
What happens when broker.rack configuration is provided in broker configuration in Kafka cluster?

Answer: B

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


NEW QUESTION # 83
You are developing a Java application using a Kafka consumer.
You need to integrate Kafka's client logs with your own application's logs using log4j2.
Which Java library dependency must you include in your project?

Answer: C

Explanation:
Kafka clients useSLF4Jas a logging facade. To redirect Kafka logs tolog4j2, you must include theSLF4J binding for log4j2in your classpath:
"org.apache.logging.log4j:log4j-slf4j-impl bridges SLF4J to Log4j2 so that Kafka's logs integrate into your application's Log4j2 configuration."
* Option A is forLog4j 1.x, which is outdated.
* Option C is incorrect; Kafka clients don't include logging bindings.
* Option D is insufficient without the SLF4J bridge.
Reference:Kafka Logging Integration Practices


NEW QUESTION # 84
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