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The CCDAK Certification Exam is designed to test the skills and knowledge of developers who work with Apache Kafka to build scalable, real-time data processing applications. CCDAK exam covers a range of topics, including Kafka fundamentals, Kafka architecture, Kafka API, and Kafka streams. CCDAK exam is intended to help developers demonstrate their proficiency in working with Kafka and differentiate themselves in the job market.

Confluent, the company that created Kafka, offers training and certification programs for professionals who want to learn and demonstrate their expertise in Kafka. The CCDAK Certification Exam is one of the many programs offered by Confluent. With the growing popularity of Kafka among enterprises, the CCDAK certification can help professionals advance their careers in big data and real-time processing.

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Achieving the CCDAK Certification demonstrates that an individual has a deep understanding of Kafka technology and is capable of developing Kafka-based applications. Confluent Certified Developer for Apache Kafka Certification Examination certification is a valuable asset for developers who work with Kafka and want to advance their careers. It is also a valuable asset for organizations that use Kafka technology, as it ensures that their developers have the necessary skills to develop and maintain Kafka-based applications.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q44-Q49):

NEW QUESTION # 44
Partition leader election is done by

Answer: C

Explanation:
The Controller is a broker that is responsible for electing partition leaders


NEW QUESTION # 45
How do you create a topic named test with 3 partitions and 3 replicas using the Kafka CLI?

Answer: C

Explanation:
As of Kafka 2.3, the kafka-topics.sh command can take --bootstrap-server localhost:9092 as an argument. You could also use the (now deprecated) option of --zookeeper localhost:2181.


NEW QUESTION # 46
An ecommerce wesbite sells some custom made goods. What's the natural way of modeling this data in Kafka streams?

Answer: A

Explanation:
Mostly-static data is modeled as a table whereas business transactions should be modeled as a stream.


NEW QUESTION # 47
Which two statements about Kafka Connect Single Message Transforms (SMTs) are correct?
(Select two.)

Answer: A,B

Explanation:
SMTs (Single Message Transforms) are lightweight transformations applied to individual messages as they pass through Kafka Connect.
Chaining SMTs: You can apply multiple SMTs in sequence by defining them in order in the connector config.
Masking or modifying fields is a common use case (e.g., redacting sensitive data).
From Kafka Connect Documentation:
"Single Message Transforms (SMTs) are applied to individual messages. You can chain multiple SMTs together." SMTs do not perform joins (B is incorrect).
Converters and SMTs are separate concerns (D is incorrect).
Reference: Kafka Connect Transformations Guide


NEW QUESTION # 48
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?

Answer: D


NEW QUESTION # 49
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