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Confluent CCDAK Certification Exam is an essential certification for developers who want to demonstrate their expertise in Kafka and related technologies. Confluent Certified Developer for Apache Kafka Certification Examination certification is designed to test the knowledge and skills of developers in Kafka and is recognized globally as a standard for Kafka developers. Developers who pass the exam can demonstrate their expertise in Kafka and can be confident in their skills and knowledge.

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Confluent CCDAK (Confluent Certified Developer for Apache Kafka Certification Examination) is a certification exam designed to test the skills and knowledge of developers who work with Apache Kafka. CCDAK exam is based on a set of industry-standard best practices and is designed to validate the skills of developers who work with Kafka. CCDAK exam is designed to be challenging, but fair, and is intended to provide a reliable measure of a developer's ability to work with Kafka.

Preparing for the CCDAK Certification Exam requires a combination of theoretical knowledge and practical experience. Candidates should have a solid understanding of Kafka concepts and architecture, as well as hands-on experience working with Kafka clusters and building Kafka applications. There are many resources available to help candidates prepare for the exam, including online courses, practice exams, and study materials.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q50-Q55):

NEW QUESTION # 50
You have a consumer group with default configuration settings reading messages from your Kafka cluster.
You want to optimize its throughput so the consumer group processes more messages in the same amount of time.
Which changes increase the consumption throughput?

A. Increase the number of bytes the consumers read with each fetch request.
B. Decrease the session timeout of each consumer.
C. Remove some consumers from the consumer group.
D. Disable auto commit and have the consumers manually commit offsets.

Answer: A

NEW QUESTION # 51
You have a Zookeeper cluster that needs to be able to withstand the loss of 2 servers and still be able to function. What size should your Zookeeper cluster have?

A. 0
B. 1
C. 2
D. 3
E. 4

Answer: C

Explanation:
Your Zookeeper cluster needs to have an odd number of servers, and must maintain a majority of servers up to be able to vote. Therefore, a 2N+1 zookeeper cluster can survive to N zookeeper being down, so here the right answer is N=2, 2*N+1=5

NEW QUESTION # 52
You want to sink data from a Kafka topic to S3 using Kafka Connect. There are 10 brokers in the cluster, the topic has 2 partitions with replication factor of 3. How many tasks will you configure for the S3 connector?

A. 0
B. 1
C. 2
D. 3

Answer: A

Explanation:
You cannot have more sink tasks (= consumers) than the number of partitions, so 2.

NEW QUESTION # 53
Refer to the producer code below. It features a 'Callback' class with a method called 'onCompletion()'. When will the 'onCompletion()' method be Invoked?

producer.send(record, new MyCallback(record));

A. When a broker sends an acknowledgement to the producer
B. When a consumer sends an acknowledgement to the producer
C. When the producer puts the message into its socket buffer
D. When the producer batches the message

Answer: A

NEW QUESTION # 54
A Kafka cluster has four brokers with a topic t1 with eight partitions. A client application has just one broker specified in the bootstrap URL.
Brokers:
b1.host.domain.com
b2.host.domain.com
b3.host.domain.com
b4.host.domain.com
Bootstrap URL:
b2.host.domain.com
What would be the impact of such configuration?

A. Consumers and producers will work as expected as long as broker b2 is available.
B. Consumers and producers will only be able to consume and produce from partitions on broker b2.
C. Consumers and producers will not be able to consume or produce any messages.
D. Consumers and producers will get NotEnoughReplicasException.

Answer: A

NEW QUESTION # 55
......

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