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Confluent Certified Developer for Apache Kafka (CCDAK) Certification Exam is a comprehensive certification program that validates the skills and expertise of developers who work with Apache Kafka. CCDAK Exam is designed to test the knowledge and abilities of developers in designing, developing, and deploying Kafka-based applications. Confluent Certified Developer for Apache Kafka Certification Examination certification program is offered by Confluent, the company behind Apache Kafka, and is recognized globally as a mark of excellence in Kafka development.

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The CCDAK certification exam is an online, proctored exam that consists of multiple-choice questions and hands-on exercises. CCDAK exam is designed to be challenging, but fair, and is intended to test the knowledge and skills of developers who have experience working with Kafka. CCDAK exam is available to anyone who meets the prerequisites, which include experience working with Kafka and a solid understanding of distributed systems and programming concepts. The CCDAK Certification Exam is an excellent way for developers to demonstrate their expertise in Kafka and differentiate themselves in a competitive job market.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q234-Q239):

NEW QUESTION # 234
A stream processing application is consuming from a topic with five partitions. You run three instances of the application. Each instance has num.stream.threads=5.
You need to identify the number of stream tasks that will be created and how many will actively consume messages from the input topic.

A. 15 created, 5 actively consuming
B. 5 created, 1 actively consuming
C. 15 created, 15 actively consuming
D. 5 created, 5 actively consuming

Answer: C

Explanation:
In Kafka Streams,the number of stream tasks = number of input partitions × num.stream.threads × number of instances,but only as many as the number of partitions can actively consume at once.
However, in this case,Kafka Streams assigns one task per partition, and because there are 5 partitions and
15 threads (3 instances × 5 threads),15 tasks are created, andall 15 can be activedepending on processing topology.
FromKafka Streams Developer Guide:
"Kafka Streams creates one task per input partition. If you increase the number of stream threads, it runs multiple tasks in parallel within a single instance." So,15 stream tasks will be created and 15 will be actively consuming.
Reference:Apache Kafka Streams Documentation > Concepts > Tasks and Threads

NEW QUESTION # 235
In Avro, removing or adding a field that has a default is a __ schema evolution

A. breaking
B. backward
C. full
D. forward

Answer: C

Explanation:
Clients with new schema will be able to read records saved with old schema and clients with old schema will be able to read records saved with new schema.

NEW QUESTION # 236
Which of the following statements are true regarding the number of partitions of a topic?

A. The number of partitions in a topic cannot be altered
B. We can remove partitions in a topic by removing a broker
C. We can add partitions in a topic using the kafka-topics.sh command
D. We can remove partitions in a topic using the kafka-topics.sh command
E. We can add partitions in a topic by adding a broker to the cluster

Answer: C

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

NEW QUESTION # 237
What is encoding and decoding of a message also known as?

A. Aggregation and deaggregation
B. Scalability and fault tolerance
C. Publish and subscribe
D. Serialization and deserialization

Answer: D

NEW QUESTION # 238
Which two statements are correct about transactions in Kafka?
(Select two.)

A. Transactions are only possible when writing messages to a topic with single partition.
B. All messages from a failed transaction will be deleted from a Kafka topic.
C. Information about producers and their transactions is stored in the _transaction_state topic.
D. Consumers can consume both committed and uncommitted transactions.
E. Transactions guarantee at least once delivery of messages.

Answer: C,D

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
* #C. Consumers can consume both committed and uncommitted transactions.By default,Kafka consumers only read committed messagesif they are configured with isolation.level=read_committed.
However, if configured as read_uncommitted, theycan also consume uncommitted (potentially aborted) transactional messages.
From Kafka Documentation:
"The isolation.level setting controls whether the consumer will read only committed messages or all messages, including uncommitted messages from ongoing or aborted transactions."
* #D. Information about producers and their transactions is stored in the _transaction_state topic.
Kafka uses an internal topic named__transaction_stateto maintain metadata about producer transactions. This topic is essential for tracking thetransaction lifecycle, fencing, and recovery.
From Kafka Internals:
"Kafka stores the state of active and completed transactions in an internal topic called __transaction_state."

NEW QUESTION # 239
......

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Exam CCDAK Questions Pdf & CCDAK Reliable Exam Braindumps

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q234-Q239):

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