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Real Confluent CCDAK Exam, CCDAK Latest Study Materials

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Confluent CCDAK (Confluent Certified Developer for Apache Kafka Certification Examination) Certification Exam is a globally recognized certification program that validates an individual's knowledge and skills in Apache Kafka technology. Confluent Certified Developer for Apache Kafka Certification Examination certification exam is designed for developers who work with Apache Kafka and want to demonstrate their expertise in the field. Confluent Certified Developer for Apache Kafka Certification Examination certification is offered by Confluent, the leading provider of Apache Kafka-based solutions.

Confluent CCDAK (Confluent Certified Developer for Apache Kafka) certification exam is designed for software developers who want to demonstrate their proficiency in building Kafka-based applications. Kafka is an open-source distributed messaging system that allows applications to exchange messages in real-time. It offers a highly scalable, fault-tolerant, and reliable platform for building large-scale distributed systems. The CCDAK Exam Tests the candidate's ability to work with Kafka and its ecosystem components e.g., producer, consumer, connectors, and streams API.

Confluent CCDAK certification is a globally recognized certification that validates a developer's expertise in Apache Kafka. Confluent Certified Developer for Apache Kafka Certification Examination certification exam tests the developer's knowledge and skills in building and managing Kafka-based applications. The CCDAK certification is a valuable asset for developers who want to advance their careers in the field of big data and data engineering.

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q30-Q35):

NEW QUESTION # 30
Refer to the producer code below. It features a 'Callback' class with a method called 'onCompletion()'.
In the 'on Completion*.)' method, what does the 'metadata.offset()' value represent?

producer.send(record, new MyCallback(record));

A. The sequential id of the message is committed into a partition
B. Its position in the producer's batch of messages
C. The id of the partition that the message was committed to
D. The number of bytes that overflowed beyond a producer batch of messages

Answer: A

NEW QUESTION # 31
You need to correctly join data from two Kafka topics.
Which two scenarios will allow for co-partitioning?
(Select two.)

A. Both topics have the same value schema.
B. Both topics have the same retention time.
C. Both topics have the same number of partitions.
D. Both topics have the same key and partitioning strategy.

Answer: C,D

Explanation:
For Kafka Streams to performjoins, topics must beco-partitioned, meaning:
* They have thesame number of partitions(A), and
* They use thesame partitioning strategy(typically by key) (B)
FromKafka Streams Documentation > Joins:
"Co-partitioning is required for Kafka Streams joins. Topics must have the same number of partitions and use the same key-based partitioner." Value schema (C) and retention time (D) have no bearing on join compatibility.
Reference:Kafka Streams Concepts > Joins and Co-Partitioning

NEW QUESTION # 32
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 1 partition and 1 replication factor
B. Kafka will automatically create the topic with the broker settings num.partitions and default.replication.
factor
C. Kafka will automatically create the topic with the indicated producer settings num.partitions and default.
replication.factor
D. Kafka will automatically create the topic with num.partitions=#of brokers and replication.factor=3

Answer: B

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

NEW QUESTION # 33
If you enable an SSL endpoint in Kafka, what feature of Kafka will be lost?

A. Cross-cluster mirroring
B. Support for Avro format
C. Zero copy
D. Exactly-once delivery

Answer: C

Explanation:
With SSL, messages will need to be encrypted and decrypted, by being first loaded into the JVM, so you lose the zero copy optimization. See more information herehttps://twitter.com/ijuma/status
/1161303431501324293?s=09

NEW QUESTION # 34
When running a ksqlDB for connectors, what does the IF NOT EXISTS clause do?

A. Prevent the statement from failing if a connector with the supplied name already exists.
B. Fail if the specified connector does not exist.
C. Prevent the statement from executing if a connector with the supplied name does not exist.
D. Update the connector properties if a connector with the supplied name exists.

Answer: A

NEW QUESTION # 35
......

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