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The following CCDAK questions are part of our Confluent CCDAK real exam questions full version. There are 150 in our CCDAK full version. All of our CCDAK real exam questions can guarantee you success in the first attempt. If you fail CCDAK exam with our Confluent CCDAK real exam questions, you will get full payment fee refund. Want to practice and study full verion of CCDAK real exam questions? Go now!

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Confluent CCDAK Exam Actual Questions

The questions for CCDAK were last updated on Feb 21,2025 .

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Question#1

You are doing complex calculations using a machine learning framework on records fetched from a Kafka topic. It takes more about 6 minutes to process a record batch, and he consumer enters rebalances even though it's still running .
How can you improve this scenario?

A. Increase max.poll.interval.ms to 600000
B. Increase heartbeat.interval.ms to 600000
C. Increase session.timeout.ms to 600000
D. Add consumers to the consumer group and kill them right away

Explanation:
Here, we need to change the setting max.poll.interval.ms (default 300000) to its double in order to tell Kafka a consumer should be considered dead if the consumer only if it hasn't called the .poll() method in 10 minutes instead of 5.

Question#2

You want to perform table lookups against a KTable everytime a new record is received from the KStream .
What is the output of KStream-KTable join?

A. KTable
B. GlobalKTable
C. You choose between KStream or KTable
D. Kstream

Explanation:
Here KStream is being processed to create another KStream.

Question#3

You are using JDBC source connector to copy data from a table to Kafka topic. There is one connector created with max.tasks equal to 2 deployed on a cluster of 3 workers .
How many tasks are launched?

A. 3
B. 2
C. 1
D. 6

Explanation:
JDBC connector allows one task per table.

Question#4

The exactly once guarantee in the Kafka Streams is for which flow of data?

A. Kafka => Kafka
B. Kafka => External
C. External => Kafka

Explanation:
Kafka Streams can only guarantee exactly once processing if you have a Kafka to Kafka topology.

Question#5

What kind of delivery guarantee this consumer offers?
while (true) {
ConsumerRecords<String, String> records = consumer.poll(100);
try {
consumer.commitSync();
} catch (CommitFailedException e) { log.error("commit failed", e)
}
for (ConsumerRecord<String, String> record records)
{
System.out.printf("topic = %s, partition = %s, offset = %d, customer = %s, country = %s
",
record.topic(), record.partition(), record.offset(), record.key(), record.value());
}
}

A. Exactly-once
B. At-least-once
C. At-most-once

Explanation:
Here offset is committed before processing the message. If consumer crashes before processing the message, message will be lost when it comes back up.

Exam Code: CCDAKQ & A: 150 Q&AsUpdated:  Feb 21,2025

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