LATEST CCDAK DUMPS SHEET - CCDAK DOWNLOAD PDF

Latest CCDAK Dumps Sheet - CCDAK Download Pdf

Latest CCDAK Dumps Sheet - CCDAK Download Pdf

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Confluent Certified Developer for Apache Kafka (CCDAK) Certification Exam is a globally recognized certification exam that validates the skills and knowledge of developers in building and managing Apache Kafka based solutions. Confluent Certified Developer for Apache Kafka Certification Examination certification exam is designed to test the candidate's understanding of the core concepts of Apache Kafka, including Kafka architecture, messaging patterns, and stream processing.

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The CCDAK Certification Exam is a valuable credential for developers who want to demonstrate their expertise in Kafka. By passing the exam, developers can show that they have a deep understanding of Kafka and its ecosystem, including its core components and the tools and frameworks used to build Kafka applications. Confluent Certified Developer for Apache Kafka Certification Examination certification also demonstrates the ability to design, develop, and deploy Kafka solutions to meet real-world business requirements.

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

NEW QUESTION # 234
A consumer wants to read messages from partitions 0 and 1 of a topic topic1. Code snippet is shown below.
consumer.subscribe(Arrays.asList("topic1"));
List<TopicPartition> pc = new ArrayList<>();
pc.add(new PartitionTopic("topic1", 0));
pc.add(new PartitionTopic("topic1", 1));
consumer.assign(pc);

  • A. Throws IllegalStateException
  • B. This works fine. subscribe() will subscribe to the topic and assign() will assign partitions to the consumer.

Answer: A

Explanation:
subscribe() and assign() cannot be called by the same consumer, subscribe() is used to leverage the consumer group mechanism, while assign() is used to manually control partition assignment and reads assignment


NEW QUESTION # 235
Which partition assignment minimizes partition movements between two assignments?

  • A. RoundRobinAssignor
  • B. RangeAssignor
  • C. PartitionAssignor
  • D. StickyAssignor

Answer: D


NEW QUESTION # 236
When using plain JSON data with Connect, you see the following error messageorg.apache.kafka.connect.errors.DataExceptionJsonDeserializer with schemas.enable requires "schema" and "payload" fields and may not contain additional fields. How will you fix the error?

  • A. Use Single Message Transforms to add schema and payload fields in the message
  • B. Set key.converter, value.converter to JsonConverter and the schema registry url
  • C. Set key.converter, value.converter to AvroConverter and the schema registry url
  • D. Set key.converter.schemas.enable and value.converter.schemas.enable to false

Answer: D

Explanation:
You will need to set the schemas.enable parameters for the converter to false for plain text with no schema.


NEW QUESTION # 237
Your Kafka cluster has five brokers. The topic t1 on the cluster has:
* Two partitions
* Replication factor = 4
* min.insync.replicas = 3You need strong durability guarantees for messages written to topic t1.You configure a producer acks=all and all the replicas for t1 are in-sync.How many brokers need to acknowledge a message before it is considered committed?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: C

Explanation:
With acks=all, the leader waits formin.insync.replicasto acknowledge the message. Since min.insync.
replicas=3, Kafka will only commit the messageonce 3 brokers (leader + 2 followers)confirm they have the message.
FromKafka Documentation > Acks and Durability:
"If acks=all is specified, the producer will wait until the full set of in-sync replicas has acknowledged the record. The minimum number of in-sync replicas is controlled by min.insync.replicas." Even though the replication factor is 4, only3 acknowledgments are needed, as defined by min.insync.
replicas.
Reference:Apache Kafka Producer Configs > acks, min.insync.replicas


NEW QUESTION # 238
You have a Kafka client application that has real-time processing requirements.
What are the most important metrics available in Kafka that you should monitor?

  • A. Total time to serve requests to replica followers
  • B. Aggregate incoming byte rate
  • C. Consumer heartbeat rate to the group coordinator
  • D. Consumer lag between the brokers and the consumers

Answer: D


NEW QUESTION # 239
......

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