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Confluent CCDAK Exam Syllabus Topics:

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:

1. A producer is configured with the default partitioner. It is sending records to a topic that is configured with five partitions. The record does not contain any key.
What is the result of this?

A) Records will be sent to the least used partition.
B) Records will be dispatched among the available partitions.
C) An error will be raised and no record will be sent.
D) Records will be sent to partition 0.

2. (Your application consumes from a topic configured with a deserializer.
You want the application to be resilient to badly formatted records (poison pills).
You surround the poll() call with a try/catch block for RecordDeserializationException.
You need to log the bad record, skip it, and continue processing other records.
Which action should you take in the catch block?)

A) Log the bad record and seek the consumer to the offset of the next record.
B) Log the bad record and call consumer.skip() method.
C) Log the bad record; no other action is needed.
D) Throw a runtime exception to trigger a restart of the application.

3. What are three built-in abstractions in the Kafka Streams DSL?
(Select three.)

A) GlobalKStream
B) StreamTable
C) KStream
D) KTable
E) GlobalKTable

4. (You have a Kafka consumer in production actively reading from a critical topic from which multiple other applications are consuming.
You have a new requirement to update the offset of your consumer to start reading from the beginning of the topic.
Which action would you take?)

A) Update the consumer group's offset to the earliest position using the kafka-consumer-groups CLI tool.
B) Update the consumer configuration by setting the auto.offset.reset property to earliest.
C) Start a new consumer application with the same consumer group id.
D) Temporarily configure the topic's retention.ms parameter to 0 to empty the topic.

5. Your application is consuming from a topic with one consumer group.
The number of running consumers is equal to the number of partitions.
Application logs show that some consumers are leaving the consumer group during peak time, triggering a rebalance. You also notice that your application is processing many duplicates.
You need to stop consumers from leaving the consumer group.
What should you do?

A) Add more consumer instances.
B) Reduce max.poll.records property.
C) Split consumers in different consumer groups.
D) Increase session.timeout.ms property.

Solutions: