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The CCDAK exam covers a range of topics related to Kafka, including architecture, configuration, performance tuning, security, and more. CCDAK exam consists of multiple-choice questions and requires candidates to demonstrate their ability to apply their knowledge to real-world scenarios. CCDAK Exam is administered online and can be taken from anywhere in the world. Candidates have 90 minutes to complete the exam, and they must score at least 70% to pass.

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The CCDAK certification exam consists of a series of multiple-choice questions that assess the candidate's knowledge in various aspects of Kafka development. CCDAK exam covers topics such as Kafka architecture, Kafka APIs, Kafka Connect, Kafka Streams, and Kafka Security. Candidates must pass the exam with a minimum score of 70% to earn the CCDAK certification. Confluent Certified Developer for Apache Kafka Certification Examination certification is valid for two years and can be renewed by passing the recertification exam. The CCDAK certification program is an excellent way for developers to demonstrate their Kafka development skills, increase their marketability, and advance their careers in the field of big data and streaming technologies.

The CCDAK Certification Exam covers a wide range of topics, including Kafka architecture, configuration, security, performance tuning, and troubleshooting. CCDAK exam consists of multiple-choice questions, and passing the exam requires a thorough understanding of Kafka concepts and hands-on experience working with Kafka APIs and tools. Confluent Certified Developer for Apache Kafka Certification Examination certification exam is a rigorous process that requires preparation and dedication, but it can be a valuable asset for developers who want to demonstrate their Kafka expertise and advance their careers.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q88-Q93):

NEW QUESTION # 88
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: A

Explanation:
The offset in the RecordMetadata object returned by the producerrepresents the position of the record in the partition- i.e., thesequential IDassigned by Kafka once the message is committed.
FromKafka 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 # 89
How much should be the heap size of a broker in a production setup on a machine with 256 GB of RAM, in PLAINTEXT mode?

Answer: C

Explanation:
In Kafka, a small heap size is needed, while the rest of the RAM goes automatically to the page cache (managed by the OS). The heap size goes slightly up if you need to enable SSL


NEW QUESTION # 90
A consumer starts and has auto.offset.reset=latest, and the topic partition currently has data for offsets going from 45 to 2311. The consumer group has committed the offset 643 for the topic before. Where will the consumer read from?

Answer: C

Explanation:
The offsets are already committed for this consumer group and topic partition, so the property auto.offset.reset is ignored


NEW QUESTION # 91
A consumer wants to read messages from a specific partition of a topic. How can this be achieved?

Answer: B

Explanation:
assign() can be used for manual assignment of a partition to a consumer, in which case subscribe() must not be used. Assign() takes a collection of TopicPartition object as an argument https://kafka.apache.org/23/javadoc/org/apache/kafka/clients/consumer/KafkaConsumer.html#assign-java.util.Collection-


NEW QUESTION # 92
How will you set the retention for the topic named 'Aumy-topic' to 1 hour?

Answer: A

Explanation:
retention.ms can be configured at topic level while creating topic or by altering topic. It shouldn't be set at the broker level (log.retention.ms) as this would impact all the topics in the cluster, not just the one we are interested in


NEW QUESTION # 93
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