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Confluent CCDAK Exam Overview:

Certification Vendor:	Confluent
Exam Name:	Confluent Certified Developer for Apache Kafka (CCDAK) Certification Exam
Exam Number:	CCDAK
Exam Duration:	90 minutes
Exam Price:	$150 USD
Real Exam Qty:	60
Related Certifications:	Confluent Certified Administrator for Apache Kafka (CCAK) Confluent Certified Developer for Apache Kafka (CCDAK)
Exam Format:	Multiple choice, Multiple select
Passing Score:	70%
Certificate Validity Period:	3 years
Available Languages:	English
Recommended Training:	Kafka Fundamentals Course Apache Kafka Developer Training (Confluent)
Exam Registration:	Confluent Certification Portal Confluent Training and Exams
Sample Questions:	Confluent CCDAK Sample Questions
Exam Way:	Online proctored exam or authorized testing center
Pre Condition:	Basic understanding of Java or another JVM language and familiarity with distributed systems concepts is recommended.
Official Syllabus URL:	https://www.confluent.io/certification/

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Professional Confluent - CCDAK - Latest Braindumps Confluent Certified Developer for Apache Kafka Certification Examination Book

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Confluent CCDAK (Confluent Certified Developer for Apache Kafka Certification Examination) Certification Exam is a globally recognized certification program that validates an individual's knowledge and skills in Apache Kafka technology. Confluent Certified Developer for Apache Kafka Certification Examination certification exam is designed for developers who work with Apache Kafka and want to demonstrate their expertise in the field. Confluent Certified Developer for Apache Kafka Certification Examination certification is offered by Confluent, the leading provider of Apache Kafka-based solutions.

Confluent CCDAK or Confluent Certified Developer for Apache Kafka Certification Examination is an industry-recognized certification credential for developers who want to demonstrate their expertise in using Apache Kafka to build and operate data streaming applications. CCDAK examination is designed to validate the developers' knowledge, skills, and abilities in designing, developing, and managing enterprise-grade streaming applications using Apache Kafka.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q85-Q90):

NEW QUESTION # 85
In Kafka, what are Topics split into?

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

Answer: A

NEW QUESTION # 86
By default, which replica will be elected as a partition leader? (select two)

A. Preferred leader broker if it is in-sync and auto.leader.rebalance.enable=true
B. An in-sync replica
C. Preferred leader broker if it is in-sync and auto.leader.rebalance.enable=false
D. Any of the replicas

Answer: B,D

Explanation:
Preferred leader is a broker that was leader when topic was created. It is preferred because when partitions are first created, the leaders are balanced between brokers. Otherwise, any of the in-sync replicas (ISR) will be elected leader, as long as unclean.leader.election=false (by default)

NEW QUESTION # 87
(A consumer application needs to use an at-most-once delivery semantic.
What is the best consumer configuration and code skeleton to avoid duplicate messages being read?)

A. auto.offset.reset=earliest and enable.auto.commit=falsewhile (true) {final var records = consumer.poll (POLL_TIMEOUT);for (var record : records) {// Any processing}consumer.commitAsync();}
B. auto.offset.reset=earliest and enable.auto.commit=falsewhile (true) {final var records = consumer.poll (POLL_TIMEOUT);consumer.commitAsync();for (var record : records) {// Any processing}}
C. auto.offset.reset=latest and enable.auto.commit=truewhile (true) {final var records = consumer.poll (POLL_TIMEOUT);for (var record : records) {// Any processing}consumer.commitAsync();}
D. auto.offset.reset=earliest and enable.auto.commit=truewhile (true) {final var records = consumer.poll (POLL_TIMEOUT);consumer.commitAsync();for (var record : records) {// Any processing}}

Answer: B

Explanation:
According to the official Apache Kafka consumer semantics documentation, at-most-once delivery means that records may be lost but must never be processed more than once. To achieve this guarantee, a consumer must commit offsets before processing records. If the application crashes after committing but before processing, messages are skipped rather than reprocessed, which satisfies at-most-once semantics.
Option B correctly implements this pattern. It disables automatic offset commits (enable.auto.commit=false) and explicitly calls commitAsync() immediately after polling and before processing records. This ensures that offsets are advanced regardless of whether processing succeeds, eliminating the possibility of duplicate processing.
Option C represents at-least-once semantics, because offsets are committed after processing, which can lead to duplicates on failure. Options A and D rely on automatic commits or incorrect ordering and do not provide strict at-most-once guarantees.
The Kafka documentation explicitly states that manual offset management with commits before processing is required for at-most-once delivery.
Therefore, Option B is the best and officially documented configuration and code skeleton to avoid duplicate message processing.

NEW QUESTION # 88
To read data from a topic, the following configuration is needed for the consumers

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

Answer: A

Explanation:
All brokers can respond to Metadata request, so a client can connect to any broker in the cluster.

NEW QUESTION # 89
There are 3 brokers in the cluster. You want to create a topic with a single partition that is resilient to one broker failure and one broker maintenance. What is the replication factor will you specify while creating the topic?

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

Answer: C

Explanation:
1 is not possible as it doesn't provide resilience to failure, 2 is not enough as if we take a broker down for maintenance, we cannot tolerate a broker failure, and 6 is impossible as we only have 3 brokers (RF cannot be greater than the number of brokers). Here the correct answer is 3

NEW QUESTION # 90
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