[Sep 16, 2025] Passing Key To Getting CCDAK Certified Exam Engine PDF

CCDAK Exam Dumps Pass with Updated Sep-2025 Tests Dumps

NEW QUESTION # 88
In Avro, removing a field that does not have a default is a __ schema evolution

• A. forward
• B. full
• C. breaking
• D. backward

Answer: D

Explanation:
Clients with new schema will be able to read records saved with old schema.

NEW QUESTION # 89
You need to correctly join data from two Kafka topics.
What will allow for the co-partitioning? (Choose 2.)

• A. Both topics have the same retention time.
• B. Both topics have the same number of partitions.
• C. Both topics have the same value schema.
• D. Both topics have the same key and partitioning strategy.

Answer: B,D

NEW QUESTION # 90
Select all the way for one consumer to subscribe simultaneously to the following topics - topic.history, topic.
sports, topic.politics? (select two)

• A. consumer.subscribe(Arrays.asList("topic.history", "topic.sports", "topic.politics"));
• B. consumer.subscribePrefix("topic.");
• C. consumer.subscribe(Pattern.compile("topic\..*"));
• D. consumer.subscribe("topic.history"); consumer.subscribe("topic.sports"); consumer.subscribe("topic.
  politics");

Answer: A,C

Explanation:
Multiple topics can be passed as a list or regex pattern.

NEW QUESTION # 91
The kafka-console-consumer CLI, when used with the default options

• A. always uses the same group id
• B. does not use a 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 # 92
What is accomplished by producing data to a topic with a message key?

• A. Messages with the same key are routed to a deterministically selected partition, enabling order guarantees within that partition.
• B. Consumers can filter messages in real time based on the message key without processing unrelated messages.
• C. Kafka brokers allow you to add more partitions to a given topic, without impacting the data flow for existing keys.
• D. It provides a mechanism for encrypting messages at the partition level to ensure secure data transmission.

Answer: A

Explanation:
When amessage keyis specified in Kafka, the producer uses apartitioner(typically the default hash-based partitioner) todeterministically map all records with the same key to the same partition. Kafka guarantees order within a partition, so this enables per-key ordering.
FromKafka Producer Concepts:
"If a key is present, the producer will always route records with the same key to the same partition. Kafka preserves the order of records within a partition." This is essential for ordered processing and join semantics.
Reference:Kafka Producer Design > Partitions and Keys

NEW QUESTION # 93
To produce data to a topic, a producer must provide the Kafka client with...

• A. all the brokers from the cluster and the topic name
• B. any broker from the cluster and the topic name
• C. the list of brokers that have the data, the topic name and the partitions list
• D. any broker from the cluster and the topic name and the partitions list

Answer: B

Explanation:
All brokers can respond to a Metadata request, so a client can connect to any broker in the cluster and then figure out on its own which brokers to send data to.

NEW QUESTION # 94
In Kafka, what are Topics split into?

• A. Chunks
• B. Sub Topics
• C. Partitions
• D. Consumers

Answer: C

NEW QUESTION # 95
If I want to send binary data through the REST proxy to topic "test_binary", it needs to be base64 encoded. A consumer connecting directly into the Kafka topic

• A. json data
• B. avro data
• C. base64 encoded data, it will need to decode it
• D. binary data
• E. "test_binary" will receive

Answer: D

Explanation:
On the producer side, after receiving base64 data, the REST Proxy will convert it into bytes and then send that bytes payload to Kafka. Therefore consumers reading directly from Kafka will receive binary data.

NEW QUESTION # 96
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?

• A. UnderReplicatedPartitions
• B. BytesInPerSec
• C. records-lag-max
• D. MessagesInPerSec

Answer: C

Explanation:
This metric shows the current lag (number of messages behind the broker)

NEW QUESTION # 97
The Controller is a broker that is... (select two)

• A. elected by broker majority
• B. is responsible for consumer group rebalances
• C. is responsible for partition leader election
• D. elected by Zookeeper ensemble

Answer: C,D

Explanation:
Controller is a broker that in addition to usual broker functions is responsible for partition leader election. The election of that broker happens thanks to Zookeeper and at any time only one broker can be a controller

NEW QUESTION # 98
Which function does ZooKeeper offer in Kafka?

• A. Controller re-election
• B. Partition assignment
• C. Authentication
• D. Consumer group rebalancing

Answer: A

NEW QUESTION # 99
In Avro, removing or adding a field that has a default is a __ schema evolution

• A. forward
• B. full
• C. breaking
• D. backward

Answer: B

Explanation:
Clients with new schema will be able to read records saved with old schema and clients with old schema will be able to read records saved with new schema.

NEW QUESTION # 100
Refer to the producer code below. It features a 'Callback' class with a method called 'onCompletion()'. When will the 'onCompletion()' method be Invoked?

producer.send(record, new MyCallback(record));

• A. When a consumer sends an acknowledgement to the producer
• B. When the producer puts the message into its socket buffer
• C. When the producer batches the message
• D. When a broker sends an acknowledgement to the producer

Answer: D

NEW QUESTION # 101
You need to consume messages from Kafka using the command-line interface (CLI).
Which command should you use?

• A. kafka-consumer
• B. kafka-consume
• C. kafka-console-consumer
• D. kafka-get-messages

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 # 102
To get acknowledgement of writes to only the leader partition, we need to use the config...

• A. acks=1
• B. acks=0
• C. acks=all

Answer: A

Explanation:
Producers can set acks=1 to get acknowledgement from partition leader only.

NEW QUESTION # 103
Which tool can you use to modify the replication factor of an existing topic?

• A. kafka-reassign-partitions.sh
• B. kafka-topics.sh
• C. kafka-recreate-topic.sh
• D. kafka-reassign-topics.sh

Answer: A

Explanation:
To change the replication factor of an existing topic, you must perform apartition reassignment, because the replication factor is not directly modifiable via kafka-topics.sh. Thekafka-reassign-partitions.shtool is the official command-line utility to handle partition reassignments, including changing the replication factor.
This tool allows you to generate a reassignment JSON specifying new replica assignments per partition and then apply it.
From official documentation:
"To change the replication factor, use the kafka-reassign-partitions tool to assign the partitions to more or fewer brokers." Neither kafka-topics.sh nor kafka-reassign-topics.sh exists for this purpose, and kafka-recreate-topic.sh isnot an official Kafka tool.
Reference:Apache Kafka documentation > Operations > Changing Replication Factor

NEW QUESTION # 104
What is a consequence of increasing the number of partitions in an existing Kafka topic?

• A. Consumers will need to process data from more partitions which will significantly increase consumer lag.
• B. Existing data will be redistributed across the new number of partitions temporarily increasing cluster load.
• C. Records with the same key could be located in different partitions.
• D. The acknowledgment process will increase latency for producers using acks=all.

Answer: A

Explanation:
Increasing partitions increasesparallelism, but also means:
* Consumers in a group may have to handlemore partitions, especially if the number of consumers is lower than the number of partitions.
* This can result inincreased lag, especially under high load.
FromKafka Topic Management Docs:
"Increasing the number of partitions increases consumer work, and if consumers can't keep up, lag can accumulate."
* A is false:existing data is not redistributed.
* B is false:records with the same key always map to the same partitionbased on hash.
* D is not directly impacted by the partition count.
Reference:Kafka Topic Management > Adding Partitions

NEW QUESTION # 105
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 # 106
A consumer wants to read messages from a specific partition of a topic. How can this be achieved?

• A. Call subscribe(String topic, int partition) passing the topic and partition number as the arguments
• B. Call assign() passing a Collection of TopicPartitions as the argument
• C. Call subscribe() passing TopicPartition as the argument

Answer: B

Explanation:
assign() can be used for manual assignment of a partition to a consumer, in which case subscribe() must not be used. Assign() takes a collection of TopicPartition object as an argument https://kafka.apache.org/23
/javadoc/org/apache/kafka/clients/consumer/KafkaConsumer.html#assign-java.util.Collection-

NEW QUESTION # 107
What is the disadvantage of request/response communication?

• A. Cost
• B. Reliability
• C. Coupling
• D. Scalability

Answer: C

Explanation:
Point-to-point (request-response) style will couple client to the server.

NEW QUESTION # 108
What is encoding and decoding of a message also known as?

• A. Scalability and fault tolerance
• B. Aggregation and deaggregation
• C. Serialization and deserialization
• D. Publish and subscribe

Answer: C

NEW QUESTION # 109
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The CCDAK certification is ideal for developers who want to demonstrate their expertise in Apache Kafka and advance their careers in this field. Confluent Certified Developer for Apache Kafka Certification Examination certification is also beneficial for organizations that use Kafka in their infrastructure, as it ensures that their developers have the necessary skills to build and manage Kafka clusters and applications. Confluent Certified Developer for Apache Kafka Certification Examination certification is valid for two years, and developers are required to renew their certification by passing a recertification exam.

The CCDAK certification exam is an online, proctored exam that can be taken from anywhere in the world. CCDAK exam consists of 60 multiple-choice questions, and candidates have 90 minutes to complete the exam. CCDAK exam fee is $200, and there is a discount available for students and non-profit organizations.

 

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