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Confluent CCDAK (Confluent Certified Developer for Apache Kafka Certification Examination) Certification Exam is a globally recognized certification exam that tests the candidate's knowledge and proficiency in Apache Kafka development using Confluent platform. Confluent Certified Developer for Apache Kafka Certification Examination certification exam is designed to certify the developers who have a thorough understanding of Apache Kafka basics, Confluent platform, and building real-world applications using Kafka.
Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q146-Q151):
NEW QUESTION # 146
There are 3 producers writing to a topic with 5 partitions. There are 5 consumers consuming from the topic.
How many Controllers will be present in the cluster?
Answer: C
Explanation:
There is only one controller in a cluster at all times.
NEW QUESTION # 147
A consumer is configured with enable.auto.commit=false. What happens when close() is called on the consumer object?
- A. The group coordinator will discover that the consumer stopped sending heartbeats. It will cause rebalance after session.timeout.ms
- B. A rebalance in the consumer group will happen immediately
- C. The uncommitted offsets are committed
Answer: B
Explanation:
Calling close() on consumer immediately triggers a partition rebalance as the consumer will not be available anymore.
NEW QUESTION # 148
You want to send a message of size 3 MB to a topic with default message size configuration. How does KafkaProducer handle large messages?
- A. KafkaProducer divides messages into sizes of max.request.size and sends them in order
- B. MessageSizeTooLarge exception will be thrown, KafkaProducer will not retry and return exception immediately
- C. MessageSizeTooLarge exception will be thrown, KafkaProducer retries until the number of retries are exhausted
- D. KafkaProducer divides messages into sizes of message.max.bytes and sends them in order
Answer: B
Explanation:
MessageSizeTooLarge is not a retryable exception.
NEW QUESTION # 149
Which of the following setting increases the chance of batching for a Kafka Producer?
- A. Increase batch.size
- B. Increase linger.ms
- C. Increase message.max.bytes
- D. Increase the number of producer threads
Answer: B
Explanation:
linger.ms forces the producer to wait to send messages, hence increasing the chance of creating batches
NEW QUESTION # 150
What happens if you write the following code in your producer? producer.send(producerRecord).get()
- A. Compression will be increased
- B. It will force all brokers in Kafka to acknowledge the producerRecord
- C. Throughput will be decreased
- D. Batching will be increased
Answer: C
Explanation:
Using Future.get() to wait for a reply from Kafka will limit throughput.
NEW QUESTION # 151
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