PDF (New 2026) Actual Confluent CCDAK Exam Questions
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Achieving the CCDAK certification demonstrates that an individual has a deep understanding of Kafka technology and is capable of developing Kafka-based applications. Confluent Certified Developer for Apache Kafka Certification Examination certification is a valuable asset for developers who work with Kafka and want to advance their careers. It is also a valuable asset for organizations that use Kafka technology, as it ensures that their developers have the necessary skills to develop and maintain Kafka-based applications.
To prepare for the CCDAK certification exam, Confluent offers a range of training courses and resources, including instructor-led training, online courses, and practice exams. These resources can help developers to gain the knowledge and skills necessary to pass the exam and earn their CCDAK certification. Overall, the CCDAK certification exam is a valuable tool for Kafka developers looking to validate their skills and demonstrate their expertise in the field.
The CCDAK certification exam is offered by Confluent, which is the company behind the popular open-source Apache Kafka project. CCDAK exam is designed to test developers' knowledge of Kafka concepts, including Kafka architecture, producers and consumers, message delivery semantics, and Kafka Streams. CCDAK exam is also designed to test developers' ability to build and manage Kafka clusters and write efficient Kafka applications.
NEW QUESTION # 25
What information isn't stored inside of Zookeeper? (select two)
- A. ACL inforomation
- B. Controller registration
- C. Broker registration info
- D. Schema Registry schemas
- E. Consumer offset
Answer: E
Explanation:
Consumer offsets are stored in a Kafka topic __consumer_offsets, and the Schema Registry stored schemas in the _schemas topic.
NEW QUESTION # 26
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 # 27
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. Broker will not start due to bad configuration
- B. 168 hours
- C. 168 minutes
- D. 168 ms
Answer: D
Explanation:
If more than one similar config is specified, the smaller unit size will take precedence.
NEW QUESTION # 28
Which KSQL queries write to Kafka?
- A. COUNT and JOIN
- B. CREATE STREAM AS SELECT and CREATE TABLE AS SELECT
- C. SHOW STREAMS and EXPLAIN <query> statements
- D. CREATE STREAM WITH <topic> and CREATE TABLE WITH <topic>
Answer: B,D
Explanation:
SHOW STREAMS and EXPLAIN <query> statements run against the KSQL server that the KSQL client is connected to. They don't communicate directly with Kafka. CREATE STREAM WITH <topic> and CREATE TABLE WITH <topic> write metadata to the KSQL command topic. Persistent queries based on CREATE STREAM AS SELECT and CREATE TABLE AS SELECT read and write to Kafka topics. Non-persistent queries based on SELECT that are stateless only read from Kafka topics, for example SELECT * FROM foo WHERE. Non-persistent queries that are stateful read and write to Kafka, for example, COUNT and JOIN. The data in Kafka is deleted automatically when you terminate the query with CTRL-C.
NEW QUESTION # 29
Which configuration is used to determine which directory the connectors are stored in?
- A. plugin.path
- B. status.storage.topic
- C. offset.storage.topic
- D. group.id
Answer: A
NEW QUESTION # 30
Select all that applies (select THREE)
- A. acks is a producer setting
- B. min.insync.replicas matters regardless of the values of acks
- C. min.insync.replicas only matters if acks=all
- D. min.insync.replicas is a topic setting
- E. min.insync.replicas is a producer setting
- F. acks is a topic setting
Answer: A,C,D
Explanation:
acks is a producer setting min.insync.replicas is a topic or broker setting and is only effective when acks=all
NEW QUESTION # 31
You are using JDBC source connector to copy data from a table to Kafka topic. There is one connector created with max.tasks equal to 2 deployed on a cluster of 3 workers. How many tasks are launched?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: B
Explanation:
JDBC connector allows one task per table.
NEW QUESTION # 32
What is true about replicas ?
- A. Produce and consume requests are load-balanced between Leader and Follower replicas
- B. Leader replica handles all produce and consume requests
- C. Produce requests can be done to the replicas that are followers
- D. Follower replica handles all consume requests
Answer: B
Explanation:
Replicas are passive - they don't handle produce or consume request. Produce and consume requests get sent to the node hosting partition leader.
NEW QUESTION # 33
Which two statements are correct about transactions in Kafka?
(Select two.)
- A. Transactions guarantee at least once delivery of messages.
- B. Information about producers and their transactions is stored in the _transaction_state topic.
- C. All messages from a failed transaction will be deleted from a Kafka topic.
- D. Consumers can consume both committed and uncommitted transactions.
- E. Transactions are only possible when writing messages to a topic with single partition.
Answer: B,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 # 34
Which of the following Kafka Streams operators are stateless? (select all that apply)
- A. flatmap
- B. map
- C. groupBy
- D. filter
- E. aggregate
- F. branch
Answer: A,B,C,D,F
Explanation:
Seehttps://kafka.apache.org/20/documentation/streams/developer-guide/dsl-api.html#stateless-transformations
NEW QUESTION # 35
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 0
- B. offset 45
- C. offset 2311
- D. it will crash
Answer: C
Explanation:
Latest means that data retrievals will start from where the offsets currently end
NEW QUESTION # 36
You are receiving orders from different customer in an "orders" topic with multiple partitions. Each message has the customer name as the key. There is a special customer named ABC that generates a lot of orders and you would like to reserve a partition exclusively for ABC. The rest of the message should be distributed among other partitions. How can this be achieved?
- A. Create a custom partitioner
- B. Add metadata to the producer record
- C. All messages with the same key will go the same partition, but the same partition may have messages with different keys. It is not possible to reserve
- D. Define a Kafka Broker routing rule
Answer: A
Explanation:
A Custom Partitioner allows you to easily customise how the partition number gets computed from a source message.
NEW QUESTION # 37
How does a consumer commit offsets in Kafka?
- A. It directly sends a message to the __consumer_offsets topic
- B. It directly commits the offsets in Zookeeper
- C. It interacts with the Group Coordinator broker
Answer: C
Explanation:
Consumers do not directly write to the __consumer_offsets topic, they instead interact with a broker that has been elected to manage that topic, which is the Group Coordinator broker
NEW QUESTION # 38
Which Kafka CLI should you use to consume from a topic?
- A. kafka-console
- B. kafka-consumer-groups
- C. kafka-console-consumer
- D. kafka-topics
Answer: C
Explanation:
Examplekafka-console-consumer --bootstrap-server 127.0.0.1:9092 --topic test --from-beginning
NEW QUESTION # 39
What are the requirements for a Kafka broker to connect to a Zookeeper ensemble? (select two)
- A. Unique value for each broker's zookeeper.connect parameter
- B. All the brokers must share the same zookeeper.connect parameter
- C. All the brokers must share the same broker.id
- D. Unique values for each broker's broker.id parameter
Answer: B,D
Explanation:
Each broker must have a unique broker id and connect to the same zk ensemble and root zNode
NEW QUESTION # 40
When running a ksqlDB for connectors, what does the IF NOT EXISTS clause do?
- A. Update the connector properties if a connector with the supplied name exists.
- B. Fail if the specified connector does not exist.
- C. Prevent the statement from failing if a connector with the supplied name already exists.
- D. Prevent the statement from executing if a connector with the supplied name does not exist.
Answer: C
NEW QUESTION # 41
Using the Confluent Schema Registry, where are Avro schema stored?
- A. In the Schema Registry embedded SQL database
- B. In the _schemas topic
- C. In the message bytes themselves
- D. In the Zookeeper node /schemas
Answer: B
Explanation:
The Schema Registry stores all the schemas in the _schemas Kafka topic
NEW QUESTION # 42
If you enable an SSL endpoint in Kafka, what feature of Kafka will be lost?
- A. Support for Avro format
- B. Zero copy
- C. Cross-cluster mirroring
- D. Exactly-once delivery
Answer: B
Explanation:
With SSL, messages will need to be encrypted and decrypted, by being first loaded into the JVM, so you lose the zero copy optimization. See more information herehttps://twitter.com/ijuma/status/1161303431501324293?s=09
NEW QUESTION # 43
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=-1Which four statements match the expected behavior?(Select four.)
- A. The connector will wait 60000ms before trying to commit offsets for tasks.
- B. The connector will wait 500ms for offset data to be committed.
- C. The connector will commit offsets to a topic called connect-offsets.
- D. The offsets topic will use the broker default replication factor.
Answer: A,B,C,D
Explanation:
Each of these settings plays a key role inKafka Connect offset management:
* offset.flush.interval.ms=60000 # Offset commits happen every 60 seconds.
* offset.flush.timeout.ms=500 # The flush operation times out if it takes more than 500 ms.
* offset.storage.topic=connect-offsets # This is the internal topic for storing source offsets.
* offset.storage.replication.factor=-1 # This uses thebroker's default replication factor(commonly set via default.replication.factor).
FromKafka Connect Docs:
"If offset.storage.replication.factor=-1, the value will be determined by the broker's default replication factor." Reference:Kafka Connect Worker Configuration
NEW QUESTION # 44
You have a Kafka consumer in production actively reading from a critical topic.
You need to update the offset of your consumer to start reading from the beginning of the topic.
Which action should you take?
- A. Update the consumer configuration by setting auto.offset.reset=earliest.
- B. Temporarily configure the topic's retention.ms parameter to 0 to empty the topic.
- C. Update the consumer group's offset to the earliest position using the kafka-consumer-groups CLI tool.
- D. Start a new consumer application with the same consumer group id.
Answer: C
Explanation:
To reset offsets for anexisting consumer group, you must use thekafka-consumer-groups.shtool with the -- reset-offsets and --to-earliest flags.
FromKafka Consumer Group Tool Documentation:
"You can use the kafka-consumer-groups tool to reset offsets for a consumer group. This is required if the consumer has already committed offsets."
* Setting auto.offset.reset=earliest only worksif no committed offset exists.
* Starting a new consumer with the same group won't reset offsets.
* Retention settings don't affect committed offsets.
Reference:Kafka Consumer Group CLI Tool
NEW QUESTION # 45
A stream processing application is tracking user activity in online shopping carts.
You want to identify periods of user inactivity.
Which type of Kafka Streams window should you use?
- A. Session
- B. Sliding
- C. Hopping
- D. Tumbling
Answer: A
Explanation:
Session windowsare ideal for trackingperiods of activity separated by inactivity, such as user sessions.
FromKafka Streams Documentation > Windowing:
"A session window captures streams of events that areintermittentand separated by agap of inactivity."
* Tumbling/Hopping/Sliding windows are fixed in size
* Session windows are dynamic and close after inactivity timeout
This makes them perfect for identifyinggaps in user interaction.
Reference:Kafka Streams Developer Guide > Session Windows
NEW QUESTION # 46
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