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CCDAK Lab Questions & CCDAK Reliable Exam Online

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The CCDAK certification exam is conducted by Confluent, the company that provides a commercial distribution of Apache Kafka. CCDAK exam is designed to test the proficiency of developers in various aspects of Kafka, including installation and configuration, data ingestion and processing, stream processing, and security. CCDAK Exam is designed to be challenging and comprehensive, and passing it requires a solid understanding of Kafka and its various components.

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Confluent CCDAK Reliable Exam Online & Actual CCDAK Tests

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The CCDAK Certification Exam is designed to test the knowledge and skills of developers in building Kafka-based applications. CCDAK exam covers topics such as Kafka architecture, configuration, security, performance tuning, and application development using Kafka APIs. Confluent Certified Developer for Apache Kafka Certification Examination certification is vendor-neutral, meaning it is not tied to any particular distribution of Kafka, and is based on the most up-to-date version of Kafka available at the time of the exam.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q19-Q24):

NEW QUESTION # 19
How can you gracefully make a Kafka consumer to stop immediately polling data from Kafka and gracefully shut down a consumer application?

A. Call consumer.wakeUp() and catch a WakeUpException
B. Kill the consumer thread
C. Call consumer.poll() in another thread

Answer: A

Explanation:
See https://stackoverflow.com/a/37748336/3019499

NEW QUESTION # 20
The Controller is a broker that is... (select two)

A. elected by Zookeeper ensemble
B. is responsible for consumer group rebalances
C. is responsible for partition leader election
D. elected by broker majority

Answer: A,C

Explanation:
Controller is a broker that in addition to usual broker functions is responsible for partition leader election. The election of that broker happens thanks to Zookeeper and at any time only one broker can be a controller

NEW QUESTION # 21
Which type of system best describes Apache Kafka? (Choose 2.)

A. Leader-follower
B. Distributed commit log
C. Quorum based
D. Publish-subscribe messaging
E. FIFO

Answer: B,D

NEW QUESTION # 22
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 the consumer enters rebalances even though it's still running. How can you improve this scenario?

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

Answer: C

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.

NEW QUESTION # 23
A consumer application is using KafkaAvroDeserializer to deserialize Avro messages. What happens if message schema is not present in AvroDeserializer local cache?

A. Throws SerializationException
B. Fetches schema from Schema Registry
C. Throws DeserializationException
D. Fails silently

Answer: B

Explanation:
First local cache is checked for the message schema. In case of cache miss, schema is pulled from the schema registry. An exception will be thrown in the Schema Registry does not have the schema (which should never happen if you set it up properly)

NEW QUESTION # 24
......

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