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The CCDAK certification exam is open to developers of all levels of experience, from beginners to advanced users. However, it is recommended that candidates have some experience working with Kafka before taking the exam. Candidates who pass the exam receive a certification that demonstrates their proficiency in working with Kafka, which can be a valuable asset in their careers.

The CCDAK Certification Exam is designed to test the skills and knowledge of developers who work with Apache Kafka to build scalable, real-time data processing applications. CCDAK Exam covers a range of topics, including Kafka fundamentals, Kafka architecture, Kafka API, and Kafka streams. CCDAK exam is intended to help developers demonstrate their proficiency in working with Kafka and differentiate themselves in the job market.

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Confluent Certified Developer for Apache Kafka (CCDAK) certification exam is intended for developers who want to demonstrate their expertise in building and implementing applications that use Apache Kafka. CCDAK exam is designed to test the developer's knowledge of Kafka's key concepts, architecture, and APIs. The CCDAK Certification is a valuable credential that can help developers stand out in the job market and demonstrate their ability to develop robust and reliable Kafka applications.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q10-Q15):

NEW QUESTION # 10
If I produce to a topic that does not exist, and the broker setting auto.create.topic.enable=true, what will happen?

A. Kafka will automatically create the topic with the indicated producer settings num.partitions and default.replication.factor
B. Kafka will automatically create the topic with 1 partition and 1 replication factor
C. Kafka will automatically create the topic with num.partitions=#of brokers and replication.factor=3
D. Kafka will automatically create the topic with the broker settings num.partitions and default.replication.factor

Answer: D

Explanation:
The broker settings comes into play when a topic is auto created

NEW QUESTION # 11
Which statement is true about how exactly-once semantics (EOS) work in Kafka Streams?

A. EOS in Kafka Streams relies on transactional producers to atomically commit state updates to changelog topics and output records to Kafka.
B. Kafka Streams disables log compaction on internal changelog topics to preserve all state changes for potential recovery.
C. EOS in Kafka Streams is implemented by creating a separate Kafka topic for deduplication of all messages processed by the application.
D. Kafka Streams provides EOS by periodically checkpointing state stores and replaying changelogs to recover only unprocessed messages during failure.

Answer: A

Explanation:
Kafka Streams usestransactional producersto guaranteeexactly-once semantics (EOS). This ensures that both theoutput recordsandstate store updatesare committed atomically, avoiding duplication or partial writes.
FromKafka Streams Documentation > Processing Guarantees:
"Kafka Streams leveragesKafka's transactional APIsto commit the output records and internal state updates as a single atomic unit, thereby providing exactly-once semantics."
* Option A is incorrect because log compaction is not disabled for EOS.
* Option C incorrectly describes a checkpointing system Kafka Streams does not use.
* Option D refers to deduplication, which is not how EOS is achieved in Streams.
Reference:Kafka Streams Processing Guarantees

NEW QUESTION # 12
What does producing data to a topic with a message key allow?

A. Messages to be secured with encryption
B. Consumers to subscribe to a message with a specific key
C. Messages to have a strategy for partition assignment
D. Producers to add extra metadata with the message

Answer: C

NEW QUESTION # 13
Your Kafka cluster has five brokers. The topic t1 on the cluster has:
* Two partitions
* Replication factor = 4
* min.insync.replicas = 3You need strong durability guarantees for messages written to topic t1.You configure a producer acks=all and all the replicas for t1 are in-sync.How many brokers need to acknowledge a message before it is considered committed?

A. 0
B. 1
C. 2
D. 3

Answer: D

Explanation:
With acks=all, the leader waits formin.insync.replicasto acknowledge the message. Since min.insync.
replicas=3, Kafka will only commit the messageonce 3 brokers (leader + 2 followers)confirm they have the message.
FromKafka Documentation > Acks and Durability:
"If acks=all is specified, the producer will wait until the full set of in-sync replicas has acknowledged the record. The minimum number of in-sync replicas is controlled by min.insync.replicas." Even though the replication factor is 4, only3 acknowledgments are needed, as defined by min.insync.
replicas.
Reference:Apache Kafka Producer Configs > acks, min.insync.replicas

NEW QUESTION # 14
How will you set the retention for the topic named 'Aumy-topic' to 1 hour?

A. Set the broker config log.retention.ms to 3600000
B. Set the topic config retention.ms to 3600000
C. Set the producer config retention.ms to 3600000
D. Set the consumer config retention.ms to 3600000

Answer: B

Explanation:
retention.ms can be configured at topic level while creating topic or by altering topic. It shouldn't be set at the broker level (log.retention.ms) as this would impact all the topics in the cluster, not just the one we are interested in

NEW QUESTION # 15
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