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The CCDAK exam covers a range of topics related to Kafka, including architecture, configuration, performance tuning, security, and more. CCDAK exam consists of multiple-choice questions and requires candidates to demonstrate their ability to apply their knowledge to real-world scenarios. CCDAK exam is administered online and can be taken from anywhere in the world. Candidates have 90 minutes to complete the exam, and they must score at least 70% to pass.
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.
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Confluent CCDAK certification is a globally recognized certification that validates a developer's expertise in Apache Kafka. Confluent Certified Developer for Apache Kafka Certification Examination certification exam tests the developer's knowledge and skills in building and managing Kafka-based applications. The CCDAK Certification is a valuable asset for developers who want to advance their careers in the field of big data and data engineering.
NEW QUESTION # 11
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 # 12
What is ISR in Apache Kafka?
Answer: D
NEW QUESTION # 13
In Avro, removing a field that does not have a default is a __ schema evolution
Answer: B
Explanation:
Clients with new schema will be able to read records saved with old schema.
NEW QUESTION # 14
In Kafka, every broker... (select three)
Answer: A,D,E
Explanation:
Kafka topics are divided into partitions and spread across brokers. Each brokers knows about all the metadata and each broker is a bootstrap broker, but only one of them is elected controller
NEW QUESTION # 15
A stream processing application is consuming from a topic that has five partitions. You run three instances of your application, each with num.streams.threads set to five.
You need to identify the amount of total stream tasks that will be created and the amount that will be actively consuming messages from the input topic.
Which option is correct?
Answer: C
NEW QUESTION # 16
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