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Confluent Certified Developer for Apache Kafka (CCDAK) Certification Examination is a professional certification exam designed to test and validate the skills and knowledge of developers who work with Apache Kafka. CCDAK Exam is offered by Confluent, a leading provider of Apache Kafka-based streaming platforms and solutions.

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The CCDAK Certification Exam is designed to test the skills and knowledge of developers who work with Apache Kafka to build scalable, real-time data processing applications. CCDAK exam covers a range of topics, including Kafka fundamentals, Kafka architecture, Kafka API, and Kafka streams. CCDAK exam is intended to help developers demonstrate their proficiency in working with Kafka and differentiate themselves in the job market.

Earning the CCDAK Certification is a great way to showcase your expertise in Kafka and gain recognition in the industry. Confluent Certified Developer for Apache Kafka Certification Examination certification is valid for two years, and to maintain it, you need to either retake the exam or earn a higher-level certification offered by Confluent.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q53-Q58):

NEW QUESTION # 53
A topic has three replicas and you set min.insync.replicas to 2. If two out of three replicas are not available, what happens when a produce request with acks=all is sent to broker?

A. Produce request will block till one of the two unavailable partition is available again.
B. NotEnoughReplicasException will be returned
C. Produce request is honored with single in-sync replica

Answer: B

Explanation:
With this configuration, a single in-sync replica becomes read-only. Produce request will receive NotEnoughReplicasException.

NEW QUESTION # 54
Which item is not a valid ksqlDB data type?

A. TIMESTAMP
B. BYTES
C. VARCHAR
D. LONG

Answer: B

NEW QUESTION # 55
What information isn't stored inside of Zookeeper? (select two)

A. Controller registration
B. ACL inforomation
C. Consumer offset
D. Broker registration info
E. Schema Registry schemas

Answer: C

Explanation:
Consumer offsets are stored in a Kafka topic __consumer_offsets, and the Schema Registry stored schemas in the _schemas topic.

NEW QUESTION # 56
Your streams application is reading from an input topic that has 5 partitions. You run 5 instances of your application, each with num.streams.threads set to 5. How many stream tasks will be created and how many will be active?

A. 5 created, 5 active
B. 25 created, 5 active
C. 25 created, 25 active
D. 5 created, 1 active

Answer: B

Explanation:
One partition is assigned a thread, so only 5 will be active, and 25 threads (i.e. tasks) will be created

NEW QUESTION # 57
Match the topic configuration setting with the reason the setting affects topic durability.
(You are given settings like unclean.leader.election.enable=false, replication.factor, min.insync.replicas=2)

Answer:

Explanation:

* unclean.leader.election.enable=false# Prevents data loss by only considering in-sync replicas when rebalancing.
* replication.factor# Specifies how many redundant copies of partitions are distributed across brokers.
* min.insync.replicas=2# Sets the standard for the number of partition instances that must keep up with the latest committed message.
* unclean.leader.election.enable=false ensures that onlyin-sync replicascan be elected as leaders. If disabled, an out-of-sync replica may become leader, potentially leading to data loss.
* replication.factor defineshow many brokerswill maintain copies of each partition, directly impacting durability and availability.
* min.insync.replicas determineshow many replicas must acknowledgea write when acks=all is used, enforcing write durability.
Reference:Apache Kafka Topic Configuration Documentation

NEW QUESTION # 58
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