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Confluent CCDAK Exam Syllabus Topics:

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:

1. Which two statements are correct when assigning partitions to the consumers in a consumer group using the assign() API?
(Select two.)

A) All topics must have the same number of partitions to use assign() API.
B) It is mandatory to subscribe to a topic before calling assign() to assign partitions.
C) The consumer group will not be rebalanced if a consumer leaves the group.
D) The consumer chooses which partition to read without any assignment from brokers.

2. (You are developing a Java application that includes a Kafka consumer.
You need to integrate Kafka client logs with your own application logs.
Your application is using the Log4j2 logging framework.
Which Java library dependency must you include in your project?)

A) Just the Log4j2 dependency of the application
B) None, the correct dependency will be added transitively by the Kafka client
C) SLF4J implementation for Log4j 1.2 (org.slf4j:slf4j-log4j12)
D) SLF4J implementation for Log4j2 (org.apache.logging.log4j:log4j-slf4j-impl)

3. (You are implementing a Kafka Streams application to process financial transactions.
Each transaction must be processed exactly once to ensure accuracy.
The application reads from an input topic, performs computations, and writes results to an output topic.
During testing, you notice duplicate entries in the output topic, which violates the exactly-once processing requirement.
You need to ensure exactly-once semantics (EOS) for this Kafka Streams application.
Which step should you take?)

A) Enable compaction on the output topic to handle duplicates.
B) Set enable.idempotence=true in the internal producer configuration of the Kafka Streams application.
C) Set enable.exactly_once=true in the Kafka Streams configuration.
D) Set processing.guarantee=exactly_once_v2 in the Kafka Streams configuration.

4. (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=truewhile (true) {final var records = consumer.poll (POLL_TIMEOUT);consumer.commitAsync();for (var record : records) {// Any processing}}
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=falsewhile (true) {final var records = consumer.poll (POLL_TIMEOUT);for (var record : records) {// Any processing}consumer.commitAsync();}

5. An application is consuming messages from Kafka.
The application logs show that partitions are frequently being reassigned within the consumer group.
Which two factors may be contributing to this?
(Select two.)

A) The number of partitions does not match the number of application instances.
B) An instance of the application is crashing and being restarted.
C) There is a storage issue on the broker.
D) There is a slow consumer processing application.

Solutions: