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Confluent Certified Developer for Apache Kafka (CCDAK) Certification Examination is a comprehensive test that evaluates an individual's proficiency in developing and deploying Kafka-based solutions. CCDAK examination assesses the knowledge and skills required to use Kafka's features effectively and efficiently in real-world scenarios. The CCDAK Exam is designed by Confluent, the company founded by the original creators of Apache Kafka, and is recognized globally as a benchmark for Kafka expertise.
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Confluent CCDAK certification exam is a comprehensive exam that covers all aspects of Kafka development, including Kafka architecture, Kafka producers and consumers, Kafka Streams, Kafka Connect, Confluent Platform, and Kafka Security. CCDAK Exam is designed to test the candidate's ability to build Kafka-based applications using Confluent Platform, and their ability to troubleshoot and optimize Kafka applications.
NEW QUESTION # 66
(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: B
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 # 67
Which SMTs is used to change the data type?
Answer: D
NEW QUESTION # 68
You are working on a Kafka cluster with three nodes. You create a topic named orders with:
replication.factor = 3
min.insync.replicas = 2
acks = allWhat exception will be generated if two brokers are down due to network delay?
Answer: A
Explanation:
With acks=all and min.insync.replicas=2, Kafka requires at least two in-sync replicas to acknowledge a write.
If only one broker is alive, the condition fails, and NotEnoughReplicasException is thrown by the producer.
From Kafka Producer Exception Docs:
"NotEnoughReplicasException is thrown when the number of in-sync replicas is insufficient to satisfy acks=all with min.insync.replicas." NetworkException is generic and not raised here.
NotCoordinatorException is related to consumer group coordination.
NotLeaderForPartitionException is unrelated unless accessing an unassigned leader.
Reference: Kafka Producer Error Handling
NEW QUESTION # 69
An application is consuming messages from Kafka. You observe partitions being frequently reassigned to the consumer group from the application logs.
Which factors may be contributing to this? (Choose 2.)
Answer: B
NEW QUESTION # 70
A consumer wants to read messages from a specific partition of a topic. How can this be achieved?
Answer: A
Explanation:
assign() can be used for manual assignment of a partition to a consumer, in which case subscribe() must not be used. Assign() takes a collection of TopicPartition object as an argument https://kafka.apache.org/23
/javadoc/org/apache/kafka/clients/consumer/KafkaConsumer.html#assign-java.util.Collection-
NEW QUESTION # 71
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