[Jan 23, 2026] Fully Updated CCDAK Dumps - 100% Same Q&A In Your Real Exam
Latest CCDAK Exam Dumps - Valid and Updated Dumps
Confluent, the company that created Kafka, offers training and certification programs for professionals who want to learn and demonstrate their expertise in Kafka. The CCDAK certification exam is one of the many programs offered by Confluent. With the growing popularity of Kafka among enterprises, the CCDAK certification can help professionals advance their careers in big data and real-time processing.
NEW QUESTION # 79
Which is true about topic compaction?
- A. Topic compaction does not remove old events; instead, when clients consume events from a compacted topic, they store events in a hashmap that maintains the latest value.
- B. Compaction will keep exactly one message per key after compaction of inactive log segments.
- C. When a client produces a new event with an existing key, the old value is overwritten with the new value in the compacted log segment.
- D. When a client produces a new event with an existing key, the broker immediately deletes the offset of the existing event.
Answer: B
Explanation:
Log compactionensures that Kafka retains at least thelatest value per keyin a topic. Compaction happensin the backgroundand removes older records with the same keyin inactive log segments, not immediately.
From theKafka Documentation > Log Compaction:
"Kafka guarantees that thelast message for each keywill be retained in the log after compaction, even if earlier messages with the same key are deleted." So, D is correct. A is incorrect because compaction does not overwrite; it's a background process. B is incorrect-deletion is not immediate. C incorrectly suggests client-side hashmap behavior.
Reference:Apache Kafka Log Compaction Docs
NEW QUESTION # 80
Which two statements are correct about transactions in Kafka?
(Select two.)
- A. All messages from a failed transaction will be deleted from a Kafka topic.
- B. Transactions guarantee at least once delivery of messages.
- C. Consumers can consume both committed and uncommitted transactions.
- D. Information about producers and their transactions is stored in the _transaction_state topic.
- E. Transactions are only possible when writing messages to a topic with single partition.
Answer: C,D
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
* #C. Consumers can consume both committed and uncommitted transactions.By default,Kafka consumers only read committed messagesif they are configured with isolation.level=read_committed.
However, if configured as read_uncommitted, theycan also consume uncommitted (potentially aborted) transactional messages.
From Kafka Documentation:
"The isolation.level setting controls whether the consumer will read only committed messages or all messages, including uncommitted messages from ongoing or aborted transactions."
* #D. Information about producers and their transactions is stored in the _transaction_state topic.
Kafka uses an internal topic named__transaction_stateto maintain metadata about producer transactions. This topic is essential for tracking thetransaction lifecycle, fencing, and recovery.
From Kafka Internals:
"Kafka stores the state of active and completed transactions in an internal topic called __transaction_state."
NEW QUESTION # 81
To continuously export data from Kafka into a target database, I should use
- A. Kafka Connect Source
- B. Kafka Producer
- C. Kafka Connect Sink
- D. Kafka Streams
Answer: C
Explanation:
Kafka Connect Sink is used to export data from Kafka to external databases and Kafka Connect Source is used to import from external databases into Kafka.
NEW QUESTION # 82
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. MessageSizeTooLarge exception will be thrown, KafkaProducer retries until the number of retries are exhausted
- C. KafkaProducer divides messages into sizes of message.max.bytes and sends them in order
- D. MessageSizeTooLarge exception will be thrown, KafkaProducer will not retry and return exception immediately
Answer: D
Explanation:
MessageSizeTooLarge is not a retryable exception.
NEW QUESTION # 83
The kafka-console-consumer CLI, when used with the default options
- A. does not use a group id
- B. always uses the same group id
- C. uses a random group id
Answer: C
Explanation:
If a group is not specified, the kafka-console-consumer generates a random consumer group.
NEW QUESTION # 84
Kafka is configured with following parameters - log.retention.hours = 168 log.retention.minutes = 168 log.
retention.ms = 168 How long will the messages be retained for?
- A. 168 hours
- B. 168 minutes
- C. Broker will not start due to bad configuration
- D. 168 ms
Answer: D
Explanation:
If more than one similar config is specified, the smaller unit size will take precedence.
NEW QUESTION # 85
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. 0
- B. 1
- C. 2
- D. 3
Answer: C
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
NEW QUESTION # 86
If a topic has a replication factor of 3...
- A. 3 replicas of the same data will live on 1 broker
- B. Each partition will live on 3 different brokers
- C. Each partition will live on 2 different brokers
- D. Each partition will live on 4 different brokers
Answer: B
Explanation:
Replicas are spread across available brokers, and each replica = one broker. RF 3 = 3 brokers
NEW QUESTION # 87
What is the default maximum size of a message the Apache Kafka broker can accept?
- A. 5MB
- B. 2MB
- C. 1MB
- D. 10MB
Answer: C
Explanation:
The default maximum message size that a Kafka broker accepts is1MB (1,048,576 bytes), controlled by the config propertymessage.max.bytes.
FromKafka Broker Configuration Docs:
"The default maximum message size is 1MB. To accept larger messages, configure message.max.bytes and the producer's max.request.size." Producers also have a matching limit via max.request.size, and consumers via fetch.message.max.bytes.
Reference:Kafka Broker Configuration > message.max.bytes
NEW QUESTION # 88
When using the Confluent Kafka Distribution, where does the schema registry reside?
- A. As an in-memory plugin on your Kafka Brokers
- B. As an in-memory plugin on your Kafka Connect Workers
- C. As a separate JVM component
- D. As an in-memory plugin on your Zookeeper cluster
Answer: C
Explanation:
Schema registry is a separate application that provides RESTful interface for storing and retrieving Avro schemas.
NEW QUESTION # 89
You need to consume messages from Kafka using the command-line interface (CLI).
Which command should you use?
- A. kafka-consume
- B. kafka-get-messages
- C. kafka-console-consumer
- D. kafka-consumer
Answer: C
Explanation:
The official CLI utility for consuming messages from Kafka topics is kafka-console-consumer.sh. It connects to the broker, consumes messages, and prints them to standard output.
FromKafka CLI Tools Documentation:
"kafka-console-consumer.sh is used to read data from a Kafka topic and write it to standard output." The other options are not valid Kafka CLI tools.
Reference:Apache Kafka Documentation > kafka-console-consumer.sh
NEW QUESTION # 90
Which of the following is not an Avro primitive type?
- A. long
- B. date
- C. null
- D. string
- E. int
Answer: B
Explanation:
date is a logical type
NEW QUESTION # 91
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 # 92
Compaction is enabled for a topic in Kafka by setting log.cleanup.policy=compact. What is true about log compaction?
- A. After cleanup, only one message per key is retained with the first value
- B. Kafka automatically de-duplicates incoming messages based on key hashes
- C. After cleanup, only one message per key is retained with the latest value Compaction changes the offset of messages
- D. Each message stored in the topic is compressed
Answer: C
Explanation:
Log compaction retains at least the last known value for each record key for a single topic partition. All compacted log offsets remain valid, even if record at offset has been compacted away as a consumer will get the next highest offset.
NEW QUESTION # 93
Which function does ZooKeeper offer in Kafka?
- A. Consumer group rebalancing
- B. Partition assignment
- C. Controller re-election
- D. Authentication
Answer: C
NEW QUESTION # 94
What's is true about Kafka brokers and clients from version 0.10.2 onwards?
- A. A newer client can talk to a newer broker, and an older client can talk to a newer broker
- B. A newer client can talk to a newer broker, but an older client cannot talk to a newer broker
- C. Clients and brokers must have the exact same version to be able to communicate
- D. A newer client can't talk to a newer broker, but an older client can talk to a newer broker
Answer: A
Explanation:
Kafka's new bidirectional client compatibility introduced in 0.10.2 allows this. Read more herehttps://www.confluent.io/blog/upgrading-apache-kafka-clients-just-got-easier/
NEW QUESTION # 95
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Confluent CCDAK certification exam is an essential certification for developers who want to demonstrate their expertise in Kafka and related technologies. Confluent Certified Developer for Apache Kafka Certification Examination certification is designed to test the knowledge and skills of developers in Kafka and is recognized globally as a standard for Kafka developers. Developers who pass the exam can demonstrate their expertise in Kafka and can be confident in their skills and knowledge.
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