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{2025} Confluent CCDAK PDF Questions For Stress-free Exam Preparation

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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 covers a wide range of topics related to Kafka development, including Kafka basics, cluster setup, producer and consumer development, Kafka Streams, and Kafka Connect. CCDAK exam is designed to test a developer’s ability to design, develop, and deploy Kafka-based applications using best practices and industry standards. CCDAK exam is divided into multiple sections, each focusing on a specific area of Kafka development. CCDAK exam requires a deep understanding of Kafka and its related technologies, making it a valuable certification for developers who are interested in building and maintaining Kafka-based applications.

Confluent CCDAK Certification demonstrates a developer’s expertise in Apache Kafka and can enhance their career prospects. Confluent Certified Developer for Apache Kafka Certification Examination certification is recognized globally and can help developers stand out from the competition. Certified developers can also join the Confluent Community and access exclusive resources, such as webinars, forums, and meetups. They can also showcase their certification on their professional profile and resume.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q142-Q147):

NEW QUESTION # 142
An ecommerce wesbite sells some custom made goods. What's the natural way of modeling this data in Kafka streams?

A. Purchase as stream, Product as stream, Customer as stream
B. Purchase as table, Product as table, Customer as table
C. Purchase as stream, Product as table, Customer as stream
D. Purchase as stream, Product as table, Customer as table

Answer: D

Explanation:
Mostly-static data is modeled as a table whereas business transactions should be modeled as a stream.

NEW QUESTION # 143
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 # 144
You are developing a Java application using a Kafka consumer.
You need to integrate Kafka's client logs with your own application's logs using log4j2.
Which Java library dependency must you include in your project?

A. SLF4J implementation for Log4j 1.2 (org.slf4j:slf4j-log4j12)
B. None, the right dependency will be added by the Kafka client dependency by transitivity.
C. Just the log4j2 dependency of the application
D. SLF4J implementation for Log4j2 (org.apache.logging.log4j:log4j-slf4j-impl)

Answer: D

Explanation:
Kafka clients useSLF4Jas a logging facade. To redirect Kafka logs tolog4j2, you must include theSLF4J binding for log4j2in your classpath:
"org.apache.logging.log4j:log4j-slf4j-impl bridges SLF4J to Log4j2 so that Kafka's logs integrate into your application's Log4j2 configuration."
* Option A is forLog4j 1.x, which is outdated.
* Option C is incorrect; Kafka clients don't include logging bindings.
* Option D is insufficient without the SLF4J bridge.
Reference:Kafka Logging Integration Practices

NEW QUESTION # 145
You need to correctly join data from two Kafka topics.
What will allow for the co-partitioning? (Choose 2.)

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

Answer: B,C

NEW QUESTION # 146
You have a consumer group with default configuration settings reading messages from your Kafka cluster.
You want to optimize its throughput so the consumer group processes more messages in the same amount of time.
Which changes increase the consumption throughput?

A. Increase the number of bytes the consumers read with each fetch request.
B. Decrease the session timeout of each consumer.
C. Remove some consumers from the consumer group.
D. Disable auto commit and have the consumers manually commit offsets.

Answer: A

NEW QUESTION # 147
......

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