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Confluent CCDAK Exam Overview:

Certification Vendor:Confluent
Exam Name:Confluent Certified Developer for Apache Kafka Certification Examination
Exam Number:CCDAK
Certificate Validity Period:2 years
Exam Price:$150 USD
Related Certifications:Confluent Certified Administrator for Apache Kafka (CCAAK)
Confluent Cloud Certified Operator (CCAC)
Real Exam Qty:60
Passing Score:Pass / Fail
Exam Format:Multiple-choice, List order, Matching
Available Languages:English
Exam Duration:90 minutes
Recommended Training:Confluent Developer Training for Apache Kafka
Confluent Documentation
Exam Registration:Confluent Certification Portal
Sample Questions:Confluent CCDAK Sample Questions
Exam Way:Remote proctored online exam; requires webcam, microphone, Google Chrome browser
Pre Condition:No mandatory prerequisites; recommended experience: 6+ months developing applications with Apache Kafka
Official Syllabus URL:https://www.confluent.io/certification/

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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 (Q60-Q65):

NEW QUESTION # 60
Your manager would like to have topic availability over consistency. Which setting do you need to change in order to enable that?

Answer: A

Explanation:
unclean.leader.election.enable=true allows non ISR replicas to become leader, ensuring availability but losing consistency as data loss will occur


NEW QUESTION # 61
A consumer application needs to use an "at most once" delivery semantic.
What is the best consumer configuration lo avoid duplicate messages being read?

Answer: C


NEW QUESTION # 62
(You have a topic with four partitions. The application reading this topic is using a consumer group with two consumers.
Throughput is smoothly distributed among partitions, but application lag is increasing.
Application monitoring shows that message processing is consuming all available CPU resources.
Which action should you take to resolve this issue?)

Answer: C

Explanation:
According to the Apache Kafka consumer and scalability documentation, parallelism in message processing is primarily determined by the number of partitions and the number of consumers within a consumer group.
Each partition can be assigned to only one consumer at a time. In this scenario, the topic already has four partitions, but only two consumers are processing them, meaning only two partitions are actively consumed in parallel.
Since monitoring indicates that message processing is CPU-bound, the bottleneck is not Kafka I/O but application-side processing. Adding more consumers (up to the number of partitions) allows Kafka to rebalance the partitions and distribute them across more consumer instances, increasing CPU parallelism and reducing lag.
Option A (adding more partitions) can increase parallelism but is more intrusive and may require repartitioning considerations for keys and downstream systems. Option B increases batch size, which can worsen CPU pressure. Option D may reduce per-poll workload but does not increase parallel processing capacity.
Therefore, the correct and recommended action per Kafka documentation is to add more consumers to the consumer group.


NEW QUESTION # 63
A kafka topic has a replication factor of 3 and min.insync.replicas setting of 1. What is the maximum number of brokers that can be down so that a producer with acks=all can still produce to the topic?

Answer: A

Explanation:
Two brokers can go down, and one replica will still be able to receive and serve data


NEW QUESTION # 64
What's is true about Kafka brokers and clients from version 0.10.2 onwards?

Answer: D

Explanation:
Kafka's new bidirectional client compatibility introduced in 0.10.2 allows this. Read more herehttps://www.
confluent.io/blog/upgrading-apache-kafka-clients-just-got-easier/


NEW QUESTION # 65
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