Confluent CCDAK Dumps
| Exam Code | CCDAK |
| Exam Name | Confluent Certified Developer for Apache Kafka Certification Examination |
| Update Date | 30 Aug, 2026 |
| Total Questions | 90 Questions Answers With Explanation |
$59
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Question # 1
In Kafka, every broker... (select three)
A. contains all the topics and all the partitions
B. knows all the metadata for all topics and partitions
C. is a controller
D. knows the metadata for the topics and partitions it has on its disk
E. is a bootstrap broker
F. contains only a subset of the topics and the partitions
Question # 2
To continuously export data from Kafka into a target database, I should use
A. Kafka Producer
B. Kafka Streams
C. Kafka Connect Sink
D. Kafka Connect Source
Question # 3
A Zookeeper configuration has tickTime of 2000, initLimit of 20 and syncLimit of 5. What's the timeout value for followers to connect to Zookeeper?
A. 20 sec
B. 10 sec
C. 2000 ms
D. 40 sec
Question # 4
In Avro, adding an element to an enum without a default is a __ schema evolution
A. breaking
B. full
C. backward
D. forward
Question # 5
There are five brokers in a cluster, a topic with 10 partitions and replication factor of 3, and a quota of producer_bytes_rate of 1 MB/sec has been specified for the client. What is the maximum throughput allowed for the client?
A. 10 MB/s
B. 0.33 MB/s
C. 1 MB/s
D. 5 MB/s
Question # 6
A topic "sales" is being produced to in the Americas region. You are mirroring this topic using Mirror Maker to the European region. From there, you are only reading the topic for analytics purposes. What kind of mirroring is this?
A. Passive-Passive
B. Active-Active
C. Active-Passive
Question # 7
What is true about replicas ?
A. Produce requests can be done to the replicas that are followers
B. Produce and consume requests are load-balanced between Leader and Follower replicas
C. Leader replica handles all produce and consume requests
D. Follower replica handles all consume requests
Question # 8
If I want to send binary data through the REST proxy, it needs to be base64 encoded. Which component needs to encode the binary data into base 64?
A. The Producer
B. The Kafka Broker
C. Zookeeper
D. The REST Proxy
Question # 9
What's is true about Kafka brokers and clients from version 0.10.2 onwards?
A. Clients and brokers must have the exact same version to be able to communicate
B. A newer client can talk to a newer broker, but an older client cannot talk to a newer broker
C. A newer client can talk to a newer broker, and an older client can talk to a newer broker
D. A newer client can't talk to a newer broker, but an older client can talk to a newer broker
Question # 10
How will you set the retention for the topic named šÃ„úmy-topicšÃ„ù to 1 hour?
A. Set the broker config log.retention.ms to 3600000
B. Set the consumer config retention.ms to 3600000
C. Set the topic config retention.ms to 3600000
D. Set the producer config retention.ms to 3600000
Question # 11
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
Question # 12
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
Question # 13
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
Question # 14
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
Question # 15
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
Question # 16
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
Question # 17
Where are KSQL-related data and metadata stored?
A. Kafka Topics
B. Zookeeper
C. PostgreSQL database
D. Schema Registry
Question # 18
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
Question # 19
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
Question # 20
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
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