CCDAK Dumps PDF New [2026] Ultimate Study Guide [Q23-Q45]

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CCDAK Dumps PDF New [2026] Ultimate Study Guide

CCDAK Exam Dumps PDF Updated Dump from Free4Dump Guaranteed Success

The CCDAK certification exam covers a wide range of topics related to Apache Kafka, including core Kafka concepts, Kafka cluster management, Kafka Streams, and Kafka Connect. CCDAK exam also includes hands-on exercises that require developers to demonstrate their ability to apply their knowledge of Kafka to real-world scenarios.

Confluent Certified Developer for Apache Kafka (CCDAK) Certification Examination is a professional certification exam designed to test and validate the skills and knowledge of developers who work with Apache Kafka. CCDAK exam is offered by Confluent, a leading provider of Apache Kafka-based streaming platforms and solutions.

NEW QUESTION 23
What is a consequence of increasing the number of partitions in an existing Kafka topic?

Existing data will be redistributed across the new number of partitions temporarily increasing cluster load.

Records with the same key could be located in different partitions.

Consumers will need to process data from more partitions which will significantly increase consumer lag.

The acknowledgment process will increase latency for producers using acks=all.

NEW QUESTION 24
(Your configuration parameters for a Source connector and Connect worker are:
* offset.flush.interval.ms=60000
* offset.flush.timeout.ms=500
* offset.storage.topic=connect-offsets
* offset.storage.replication.factor=-1
Which two statements match the expected behavior?
Select two.)

The offsets topic will use the broker default replication factor.

The connector will commit offsets to the broker default offsets topic.

The connector will commit offsets to a topic called connect-offsets.

The connector will wait 500 ms before trying to commit offsets for tasks.

NEW QUESTION 25
You have a Kafka cluster and all the topics have a replication factor of 3. One intern at your company stopped a broker, and accidentally deleted all the data of that broker on the disk. What will happen if the broker is restarted?

The broker will start, and other topics will also be deleted as the broker data on the disk got deleted

The broker will start, and won’t be online until all the data it needs to have is replicated from other leaders

The broker will crash

The broker will start, and won’t have any data. If the broker comes leader, we have a data loss

NEW QUESTION 26
Which producer exceptions are examples of the class RetriableException? (Choose 2.)

LeaderNotAvailableException

RecordTooLargeException

AuthorizationException

NotEnoughReplicasException

NEW QUESTION 27
You want to send a message of size 3 MB to a topic with default message size configuration. How does KafkaProducer handle large messages?

KafkaProducer divides messages into sizes of max.request.size and sends them in order

KafkaProducer divides messages into sizes of message.max.bytes and sends them in order

MessageSizeTooLarge exception will be thrown, KafkaProducer will not retry and return exception immediately

MessageSizeTooLarge exception will be thrown, KafkaProducer retries until the number of retries are exhausted

NEW QUESTION 28
Which partition assignment minimizes partition movements between two assignments?

RoundRobinAssignor

StickyAssignor

RangeAssignor

PartitionAssignor

NEW QUESTION 29
(You need to set alerts on key broker metrics to trigger notifications when a Kafka cluster is unhealthy.
What are three minimum broker metrics to monitor for cluster health?
Select three.)

kafka.controller:type=KafkaController,name=LastCommittedRecordOffset

kafka.controller:type=ControllerStats,name=UncleanLeaderElectionsPerSec

kafka.controller:type=KafkaController,name=ActiveControllerCount

kafka.controller:type=KafkaController,name=OfflinePartitionsCount

kafka.controller:type=KafkaController,name=TopicsToDeleteCount

NEW QUESTION 30
A stream processing application is consuming from a topic with five partitions. You run three instances of the application. Each instance has num.stream.threads=5.
You need to identify the number of stream tasks that will be created and how many will actively consume messages from the input topic.

5 created, 1 actively consuming

5 created, 5 actively consuming

15 created, 5 actively consuming

15 created, 15 actively consuming

NEW QUESTION 31
In Avro, removing or adding a field that has a default is a __ schema evolution

full

backward

breaking

forward

NEW QUESTION 32
To allow consumers in a group to resume at the previously committed offset, I need to set the proper value for…

value.deserializer

auto.offset.resets

group.id

enable.auto.commit

NEW QUESTION 33
You are building a consumer application that processes events from a Kafka topic. What is the most important metric to monitor to ensure real-time processing?

UnderReplicatedPartitions

records-lag-max

MessagesInPerSec

BytesInPerSec

NEW QUESTION 34
What is the risk of increasing max.in.flight.requests.per.connection while also enabling retries in a producer?

At least once delivery is not guaranteed

Message order not preserved

Reduce throughput

Less resilient

NEW QUESTION 35
Producing with a key allows to…

Ensure per-record level security

Influence partitioning of the producer messages

Add more information to my message

Allow a Kafka Consumer to subscribe to a (topic,key) pair and only receive that data

NEW QUESTION 36
How often is log compaction evaluated?

Every time a new partition is created

Every time a segment is closed

Every time a message is sent to Kafka

Every time a message is flushed to disk

NEW QUESTION 37
A consumer application is using KafkaAvroDeserializer to deserialize Avro messages. What happens if message schema is not present in AvroDeserializer local cache?

Throws SerializationException

Fails silently

Throws DeserializationException

Fetches schema from Schema Registry

NEW QUESTION 38
(You create an Orders topic with 10 partitions.
The topic receives data at high velocity.
Your Kafka Streams application initially runs on a server with four CPU threads.
You move the application to another server with 10 CPU threads to improve performance.
What does this example describe?)

Horizontal Scaling

Vertical Scaling

Plain Scaling

Scaling Out

NEW QUESTION 39
You need to explain the best reason to implement the consumer callback interface ConsumerRebalanceListener prior to a Consumer Group Rebalance.
Which statement is correct?

Partitions assigned to a consumer may change.

Previous log files are deleted.

Offsets are compacted.

Partition leaders may change.

NEW QUESTION 40
How would you describe a connector in ksqlDB?

DESCRIBE CONNECTOR connector_name;

DESCRIBE connector_name CONNECTOR;

DROP CONNECTOR [IF EXISTS] connector_name;

DESCRIBE ip_sum EXTENDED;

NEW QUESTION 41
You are writing a producer application and need to ensure proper delivery. You configure the producer with acks=all.
Which two actions should you take to ensure proper error handling?
(Select two.)

Use a callback argument in producer.send() where you check delivery status.

Check that producer.send() returned a RecordMetadata object and is not null.

Surround the call of producer.send() with a try/catch block to catch KafkaException.

Check the value of ProducerRecord.status().

NEW QUESTION 42
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)

NEW QUESTION 43
Your streams application is reading from an input topic that has 5 partitions. You run 5 instances of your application, each with num.streams.threads set to 5. How many stream tasks will be created and how many will be active?

5 created, 1 active

5 created, 5 active

25 created, 25 active

25 created, 5 active

NEW QUESTION 44
In Kafka, every broker… (select three)

contains all the topics and all the partitions

knows all the metadata for all topics and partitions

is a controller

knows the metadata for the topics and partitions it has on its disk

is a bootstrap broker

contains only a subset of the topics and the partitions

NEW QUESTION 45
Match the testing tool with the type of test it is typically used to perform.