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The Confluent CCDAK Exam is designed to test the candidate's knowledge in various areas such as Kafka architecture, deployment, Kafka configuration, message producers, message consumers, Kafka Streams, and Kafka Connect. CCDAK exam consists of 60 multiple-choice questions and must be completed within 90 minutes.
Apache Kafka has become one of the most popular open-source distributed streaming platforms used by software developers and data engineers. Kafka is used for building real-time data pipelines and streaming applications, making it a crucial component of the modern data architecture. To validate the knowledge and expertise of developers working with Kafka, Confluent has introduced the Confluent Certified Developer for Apache Kafka (CCDAK) certification exam.
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Confluent CCDAK (Confluent Certified Developer for Apache Kafka) Certification Examination is a comprehensive test designed to evaluate the proficiency of developers in building and maintaining Apache Kafka-based applications. CCDAK exam is targeted towards software developers, data architects, and data engineers who are looking for a way to validate their knowledge and skills in building real-time, scalable, and fault-tolerant distributed systems using Apache Kafka.
NEW QUESTION # 12
You have a Zookeeper cluster that needs to be able to withstand the loss of 2 servers and still be able to function. What size should your Zookeeper cluster have?
Answer: B
Explanation:
Your Zookeeper cluster needs to have an odd number of servers, and must maintain a majority of servers up to be able to vote. Therefore, a 2N+1 zookeeper cluster can survive to N zookeeper being down, so here the right answer is N=2, 2*N+1=5
NEW QUESTION # 13
Your manager would like to have topic availability over consistency. Which setting do you need to change in order to enable that?
Answer: C
Explanation:
unclean.leader.election.enable=true allows non ISR replicas to become leader, ensuring availability but losing consistency as data loss will occur
NEW QUESTION # 14
To get acknowledgement of writes to only the leader partition, we need to use the config...
Answer: B
Explanation:
Producers can set acks=1 to get acknowledgement from partition leader only.
NEW QUESTION # 15
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?
Answer: C
Explanation:
Here KStream is being processed to create another KStream.
NEW QUESTION # 16
You are creating a Kafka Streams application to process retail data.
Match the input data streams with the appropriate Kafka Streams object.
Answer:
Explanation:
Explanation:
* Table# Product, Customers
* Stream# Orders_Placed, Shipment_Of_Orders
* Tablesrepresent slowly changing,reference data- e.g., customer profiles, product info.
* Streamsrepresentreal-time event data- e.g., orders placed, shipments processed.
FromKafka Streams Documentation:
"Use KTable for reference datasets, and KStream for event-based processing such as orders or logs." Reference:Kafka Streams API Concepts
NEW QUESTION # 17
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