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Confluent CCDAK Exam Questions

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Confluent Certified Developer for Apache Kafka Certification Examination

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Confluent CCDAK Practice Test Questions ( Updated) – Real Exam Questions & Dumps PDF

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Confluent CCDAK Sample Questions – Free Practice Test & Real Exam Prep

Question #1

Two consumers share the same group.id (consumer group id). Each consumer will 

  • A. Read mutually exclusive offsets blocks on all the partitions 
  • B. Read all the data on mutual exclusive partitions 
  • C. Read all data from all partitions 
Answer: B 
Explanation:  
Each consumer is assigned a different partition of the topic to consume.
Question #2

A consumer is configured with enable.auto.commit=false. What happens when close() is called on the consumer object?

  • A. The uncommitted offsets are committed 
  • B. A rebalance in the consumer group will happen immediately 
  • C. The group coordinator will discover that the consumer stopped sending heartbeats. It will cause rebalance after session.timeout.ms 
Answer: B 
Explanation:  
Calling close() on consumer immediately triggers a partition rebalance as the consumer will not be 
available anymore
Question #3

What happens when broker.rack configuration is provided in broker configuration in Kafka cluster? 

  • A. You can use the same broker.id as long as they have different broker.rack configuration 
  • B. Replicas for a partition are placed in the same rack 
  • C. Replicas for a partition are spread across different racks 
  • D. Each rack contains all the topics and partitions, effectively making Kafka highly available 
Answer: C 
Explanation:  
Partitions for newly created topics are assigned in a rack alternating manner, this is the only change 
broker.rack does
Question #4

You want to send a message of size 3 MB to a topic with default message size configuration. How does KafkaProducer handle large messages?

  • A. KafkaProducer divides messages into sizes of max.request.size and sends them in order 
  • B. KafkaProducer divides messages into sizes of message.max.bytes and sends them in order 
  • C. MessageSizeTooLarge exception will be thrown, KafkaProducer will not retry and return exception immediately
  • D. MessageSizeTooLarge exception will be thrown, KafkaProducer retries until the number of retries are exhausted 
Answer: C 
Explanation:  
MessageSizeTooLarge is not a retryable exception
Question #5

What exceptions may be caught by the following producer? (select two) ProducerRecord<String, String> record = new ProducerRecord<>("topic1", "key1", "value1");try { producer.send(record); } catch (Exception e) { e.printStackTrace(); 

  • A. BrokerNotAvailableException 
  • B. SerializationException 
  • C. InvalidPartitionsException 
  • D. BufferExhaustedException 
Answer: B, D 
Explanation:  
These are the client side exceptions that may be encountered before message is sent to the broker, 
and before a future is returned by the .send() method.
Question #6

A consumer has auto.offset.reset=latest, and the topic partition currently has data for offsets going from 45 to 2311. The consumer group never committed offsets for the topic before. Where will the consumer read from? 

  • A. offset 2311 
  • B. offset 0 
  • C. offset 45 
  • D. it will crash
Answer: A 
Explanation:  
Latest means that data retrievals will start from where the offsets currently end
Question #7

Where are KSQL-related data and metadata stored? 

  • A. Kafka Topics 
  • B. Zookeeper 
  • C. PostgreSQL database 
  • D. Schema Registry
Answer: A 
Explanation:  
metadata is stored in and built from the KSQL command topic. Each KSQL server has its own inmemory 
version of the metastore.
Question #8

There are 3 brokers in the cluster. You want to create a topic with a single partition that is resilient to one broker failure and one broker maintenance. What is the replication factor will you specify while creating the topic? 

  • A. 6 
  • B. 3 
  • C. 2
  • D. 1
Answer: B 
Explanation:  
1 is not possible as it doesn't provide resilience to failure, 2 is not enough as if we take a broker down 
for maintenance, we cannot tolerate a broker failure, and 6 is impossible as we only have 3 brokers 
(RF cannot be greater than the number of brokers). Here the correct answer is 3
Question #9

Which of the following is true regarding thread safety in the Java Kafka Clients? 

  • A. One Producer can be safely used in multiple threads 
  • B. One Consumer can be safely used in multiple threads 
  • C. One Consumer needs to run in one thread 
  • D. One Producer needs to be run in one thread 
Answer: A, C 
Explanation:  
KafkaConsumer is not thread-safe, KafkaProducer is thread safe.
Question #10

Which of the following statements are true regarding the number of partitions of a topic? 

  • A. The number of partitions in a topic cannot be altered 
  • B. We can add partitions in a topic by adding a broker to the cluster 
  • C. We can add partitions in a topic using the kafka-topics.sh command 
  • D. We can remove partitions in a topic by removing a broker 
Answer: C 
Explanation:  
We can only add partitions to an existing topic, and it must be done using the kafka-topics.sh 
command
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