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The CCDAK certification exam is a computer-based exam that consists of 60 multiple-choice questions. CCDAK exam is timed and lasts for 90 minutes. The passing score for the exam is 70%, meaning that candidates need to answer at least 42 questions correctly to pass the exam. CCDAK exam can be taken online or at a certified testing center.

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.

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By becoming certified, developers can demonstrate their proficiency in Apache Kafka and differentiate themselves from their peers. Confluent Certified Developer for Apache Kafka Certification Examination certification showcases the candidate's knowledge and validates their ability to design and develop high-quality streaming applications using Kafka. Furthermore, it helps organizations to identify individuals with the necessary skills and expertise to design and build data streaming applications, which is essential for addressing business problems in real-time.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q49-Q54):

NEW QUESTION # 49
Once sent to a topic, a message can be modified

A. No
B. Yes

Answer: A

Explanation:
Kafka logs are append-only and the data is immutable

NEW QUESTION # 50
If I produce to a topic that does not exist, and the broker setting auto.create.topic.enable=true, what will happen?

A. Kafka will automatically create the topic with the broker settings num.partitions and default.replication.
factor
B. Kafka will automatically create the topic with num.partitions=#of brokers and replication.factor=3
C. Kafka will automatically create the topic with 1 partition and 1 replication factor
D. Kafka will automatically create the topic with the indicated producer settings num.partitions and default.
replication.factor

Answer: A

Explanation:
The broker settings comes into play when a topic is auto created

NEW QUESTION # 51
How will you find out all the partitions without a leader?

A. kafka-topics.sh --broker-list localhost:9092 --describe --under-replicated-partitions
B. kafka-topics.sh --zookeeper localhost:2181 --describe --unavailable-partitions
C. kafka-topics.sh --bootstrap-server localhost:2181 --describe --unavailable-partitions
D. kafka-topics.sh --zookeeper localhost:2181 --describe --under-replicated-partitions

Answer: B

Explanation:
Please note that as of Kafka 2.2, the --zookeeper option is deprecated and you can now usekafka-topics.sh --bootstrap-server localhost:9092 --describe --unavailable-partitions

NEW QUESTION # 52
An ecommerce wesbite sells some custom made goods. What's the natural way of modeling this data in Kafka streams?

A. Purchase as table, Product as table, Customer as table
B. Purchase as stream, Product as stream, Customer as stream
C. Purchase as stream, Product as table, Customer as stream
D. Purchase as stream, Product as table, Customer as table

Answer: D

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

NEW QUESTION # 53
To transform data from a Kafka topic to another one, I should use

A. Kafka Streams
B. Consumer + Producer
C. Kafka Connect Sink
D. Kafka Connect Source

Answer: A

Explanation:
Kafka Streams is a library for building streaming applications, specifically applications that transform input Kafka topics into output Kafka topics

NEW QUESTION # 54
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