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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 Duration:90 minutes
Certificate Validity Period:2 years
Passing Score:Pass / Fail
Available Languages:English
Exam Price:$150 USD
Related Certifications:Confluent Cloud Certified Operator (CCAC)
Confluent Certified Administrator for Apache Kafka (CCAAK)
Exam Format:Matching, List order, Multiple-choice
Real Exam Qty:60
Recommended Training:Confluent Developer Training for Apache Kafka
Confluent Documentation
Exam Registration:Confluent Certification Portal
Sample Questions:Confluent CCDAK Sample Questions
Exam Way:Remote proctored online exam; requires webcam, microphone, Google Chrome browser
Pre Condition:No mandatory prerequisites; recommended experience: 6+ months developing applications with Apache Kafka
Official Syllabus URL:https://www.confluent.io/certification/

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Confluent CCDAK or Confluent Certified Developer for Apache Kafka Certification Examination is an industry-recognized certification credential for developers who want to demonstrate their expertise in using Apache Kafka to build and operate data streaming applications. CCDAK examination is designed to validate the developers' knowledge, skills, and abilities in designing, developing, and managing enterprise-grade streaming applications using Apache Kafka.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q87-Q92):

NEW QUESTION # 87
The producer code below features a Callback class with a method called onCompletion().
In the onCompletion() method, when the request is completed successfully, what does the value metadata.
offset() represent?

Answer: B

Explanation:
The offset in the RecordMetadata object returned by the producer represents the position of the record in the partition - i.e., the sequential ID assigned by Kafka once the message is committed.
From Kafka Producer API Documentation:
"The offset is the position of the record in the partition. This is a unique, sequential number assigned by the broker." D refers to metadata.partition(), not offset().
B and C are unrelated to how Kafka handles committed offsets.
Reference: Kafka Producer Java API > RecordMetadata


NEW QUESTION # 88
You need to consume messages from Kafka using the command-line interface (CLI).
Which command should you use?

Answer: A

Explanation:
The official CLI utility for consuming messages from Kafka topics is kafka-console-consumer.sh. It connects to the broker, consumes messages, and prints them to standard output.
FromKafka CLI Tools Documentation:
"kafka-console-consumer.sh is used to read data from a Kafka topic and write it to standard output." The other options are not valid Kafka CLI tools.
Reference:Apache Kafka Documentation > kafka-console-consumer.sh


NEW QUESTION # 89
How can you gracefully make a Kafka consumer to stop immediately polling data from Kafka and gracefully shut down a consumer application?

Answer: A

Explanation:
See https://stackoverflow.com/a/37748336/3019499


NEW QUESTION # 90
(Your application consumes from a topic configured with a deserializer.
You want the application to be resilient to badly formatted records (poison pills).
You surround the poll() call with a try/catch block for RecordDeserializationException.
You need to log the bad record, skip it, and continue processing other records.
Which action should you take in the catch block?)

Answer: A

Explanation:
The Apache Kafka consumer documentation explains that when a RecordDeserializationException occurs, the consumer cannot continue polling until the problematic offset is skipped. Simply logging the error is insufficient, because the consumer will repeatedly fail on the same record.
The recommended pattern is to log the malformed record, extract its topic, partition, and offset from the exception, and then call consumer.seek() to move the consumer position to the next offset (offset + 1). This allows the application to skip the poison pill and resume processing subsequent records.
Option B is invalid because Kafka does not provide a consumer.skip() API. Option C is unnecessary if the application is designed to tolerate malformed records. Option D results in an infinite failure loop.
Therefore, seeking past the bad record after logging it is the correct and officially documented way to handle poison pill records while maintaining consumer liveness and resilience.


NEW QUESTION # 91
How will you read all the messages from a topic in your KSQL query?

Answer: A

Explanation:
Consumers can set auto.offset.reset property to earliest to start consuming from beginning. For KSQL, SET 'auto.offset.reset'='earliest';


NEW QUESTION # 92
......

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