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Apache Kafka is a popular open-source, distributed streaming platform that is widely used for handling real-time data streaming in modern enterprises. It has been gaining rapid acceptance for its ability to handle massive amounts of data and support different workloads. Many businesses are now leveraging Apache Kafka to enable streaming data processing in their organizations, making it essential for developers to become proficient in using Kafka to build, manage and maintain these applications.

Confluent CCDAK Certification Exam covers a range of topics, including Kafka core concepts, producers and consumers, Kafka Streams, Kafka Connect, and security. CCDAK exam is designed to test a developer's understanding of Kafka architecture and best practices for building scalable and reliable Kafka applications. CCDAK exam is conducted online and consists of 60 multiple-choice questions that need to be answered in 90 minutes.

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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 Certified Developer for Apache Kafka Certification Examination Sample Questions (Q192-Q197):

NEW QUESTION # 192
We have a store selling shoes. What dataset is a great candidate to be modeled as a KTable in Kafka Streams?

A. Inventory contents right now
B. The transaction stream
C. Money made until now
D. Items returned

Answer: C,D

Explanation:
Aggregations of stream are stored in table, whereas Streams must be modeled as a KStream to avoid data explosion

NEW QUESTION # 193
What's a Kafka partition made of?

A. One file and two indexes
B. One file and one index
C. One file
D. One file and two indexes per segment

Answer: D

Explanation:
Kafka partitions are made of segments (usually each segment is 1GB), and each segment has two corresponding indexes (offset index and time index)

NEW QUESTION # 194
A consumer sends a request to commit offset 2000. There is a temporary communication problem, so the broker never gets the request and therefore never responds. Meanwhile, the consumer processed another batch and successfully committed offset 3000. What should you do?

A. Nothing
B. Add a new consumer to the group
C. Restart the consumer
D. Use the kafka-consumer-group command to manually commit the offsets 2000 for the consumer group

Answer: A

Explanation:
In this case, because the offset 3000 has been committed and all the messages between 0 and 3000 have all been processed, it is okay not to have committed offset 2000. The right answer is to do "nothing", this behaviour is acceptable

NEW QUESTION # 195
Which actions will trigger partition rebalance for a consumer group? (select three)

A. Remove a broker from the cluster
B. Increase partitions of a topic
C. A consumer in a consumer group shuts down
D. Add a broker to the cluster
E. Add a new consumer to consumer group

Answer: B,C,E

Explanation:
Rebalance occurs when a new consumer is added, removed or consumer dies or paritions increased.

NEW QUESTION # 196
Which of the following Kafka Streams operators are stateful? (select all that apply)

A. count
B. peek
C. aggregate
D. joining
E. reduce
F. flatmap

Answer: A,C,D,E

Explanation:
Seehttps://kafka.apache.org/20/documentation/streams/developer-guide/dsl-api.html#stateful-transformations

NEW QUESTION # 197
......

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