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The CCDAK Certification Exam is ideal for developers who are looking to establish their expertise in Apache Kafka and differentiate themselves in a competitive job market. CCDAK exam is designed to evaluate the candidate's proficiency in developing and deploying Kafka-based applications that meet the business requirements of modern data-driven organizations. Successful candidates receive a Confluent Certified Developer for Apache Kafka certificate, which demonstrates their mastery of the essential skills needed to build scalable and reliable data streaming applications using Apache Kafka.

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The CCDAK exam is a comprehensive assessment of a developer's knowledge of the Kafka ecosystem and its various components, such as Kafka Connect, Kafka Streams, and Schema Registry. CCDAK exam covers a broad range of topics, including Kafka architecture, data modeling, event-driven design, and security. Developers who pass the CCDAK exam will have demonstrated their ability to develop Kafka-based applications that are scalable, reliable, and secure, and they will be recognized as experts in the Kafka ecosystem. The CCDAK Certification is an essential credential for developers who wish to work with Kafka and Confluent's platform and is highly valued by organizations that use Kafka as their messaging and streaming platform.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q87-Q92):

NEW QUESTION # 87
You create a topic named stream-logs with:
* A replication factor of 3
* Four partitions
* Messages that are plain logs without a keyHow will messages be distributed across partitions?

A. Messages will be distributed among all the topic partitions with strict ordering.
B. Messages will be distributed round-robin among all the topic partitions.
C. All messages will be written to the same log segment.
D. The first message will always be written to partition 0.

Answer: B

Explanation:
If amessage key is not provided, Kafka's default partitioner usesround-robin distributionacross available partitions.
FromKafka Producer Design:
"If no key is provided, the default partitioner distributes messages round-robin to available partitions."
* A is incorrect - not all go to partition 0.
* C is invalid - Kafka doesn't group messages into one segment without a key.
* D is false - ordering isnot preservedacross partitions without a key.
Reference:Kafka Producer Partitioner Behavior

NEW QUESTION # 88
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 num.partitions=#of brokers and replication.factor=3
B. Kafka will automatically create the topic with 1 partition and 1 replication factor
C. Kafka will automatically create the topic with the indicated producer settings num.partitions and default.replication.factor
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 # 89
A kafka topic has a replication factor of 3 and min.insync.replicas setting of 2. How many brokers can go down before a producer with acks=all can't produce?

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

Answer: A

Explanation:
acks=all and min.insync.replicas=2 means we must have at least 2 brokers up for the partition to be available

NEW QUESTION # 90
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 45
B. offset 2311
C. offset 0
D. it will crash

Answer: B

Explanation:
Latest means that data retrievals will start from where the offsets currently end

NEW QUESTION # 91
You have a Kafka client application that has real-time processing requirements.
What are the most important metrics available in Kafka that you should monitor?

A. Consumer lag between the brokers and the consumers
B. Total time to serve requests to replica followers
C. Aggregate incoming byte rate
D. Consumer heartbeat rate to the group coordinator

Answer: A

NEW QUESTION # 92
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