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The CCDAK certification exam is offered by Confluent, the company that created Apache Kafka. CCDAK exam is designed to be rigorous and challenging, and passing it requires a deep understanding of Kafka-based solutions and their application to real-world use cases. The CCDAK Certification is a valuable credential for developers who work with Kafka and want to demonstrate their expertise to potential employers or clients.

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CCDAK study materials: Confluent Certified Developer for Apache Kafka Certification Examination & CCDAK exam torrent & CCDAK actual exam

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Before taking the Confluent CCDAK Exam, developers should have a good understanding of Kafka fundamentals, including topics, partitions, brokers, producers, consumers, and Kafka Connect. They should also be proficient in Java or Scala programming languages and have experience working with REST APIs and command-line interfaces. It is recommended that developers attend the Confluent Developer Training or have equivalent experience before taking the exam.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q13-Q18):

NEW QUESTION # 13
Your configuration parameters for a Source connector and Connect worker are:
* offset.flush.interval.ms=60000
* offset.flush.timeout.ms=500
* offset.storage.topic=connect-offsets
* offset.storage.replication.factor=-1Which four statements match the expected behavior?(Select four.)

Answer: A,B,C,D

Explanation:
Each of these settings plays a key role inKafka Connect offset management:
* offset.flush.interval.ms=60000 # Offset commits happen every 60 seconds.
* offset.flush.timeout.ms=500 # The flush operation times out if it takes more than 500 ms.
* offset.storage.topic=connect-offsets # This is the internal topic for storing source offsets.
* offset.storage.replication.factor=-1 # This uses thebroker's default replication factor(commonly set via default.replication.factor).
FromKafka Connect Docs:
"If offset.storage.replication.factor=-1, the value will be determined by the broker's default replication factor." Reference:Kafka Connect Worker Configuration


NEW QUESTION # 14
An ecommerce website maintains two topics - a high volume "purchase" topic with 5 partitions and low volume "customer" topic with 3 partitions. You would like to do a stream-table join of these topics. How should you proceed?

Answer: A

Explanation:
In case of KStream-KStream join, both need to be co-partitioned. This restriction is not applicable in case of join with GlobalKTable, which is the most efficient here.


NEW QUESTION # 15
You create a topic with five partitions.
What can be assumed about messages read from that topic by a single consumer group?

Answer: B


NEW QUESTION # 16
Which of the following statements are true regarding the number of partitions of a topic?

Answer: D

Explanation:
We can only add partitions to an existing topic, and it must be done using the kafka-topics.sh command


NEW QUESTION # 17
A Kafka producer application wants to send log messages to a topic that does not include any key. What are the properties that are mandatory to configure for the producer configuration? (select three)

Answer: C,D,F

Explanation:
Both key and value serializer are mandatory.


NEW QUESTION # 18
......

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