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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:

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

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

2. The producer code below features a Callback class with a method called onCompletion().
In the onCompletion() method, when the request is completed successfully, what does the value metadata.
offset() represent?

A) Its position in the producer's batch of messages
B) The sequential ID of the message committed into a partition
C) The number of bytes that overflowed beyond a producer batch of messages
D) The ID of the partition to which the message was committed

3. You are working on a Kafka cluster with three nodes. You create a topic named orders with:
replication.factor = 3
min.insync.replicas = 2
acks = allWhat exception will be generated if two brokers are down due to network delay?

A) NotLeaderForPartitionException
B) NetworkException
C) NotCoordinatorException
D) NotEnoughReplicasException

4. What is a consequence of increasing the number of partitions in an existing Kafka topic?

A) Records with the same key could be located in different partitions.
B) The acknowledgment process will increase latency for producers using acks=all.
C) Existing data will be redistributed across the new number of partitions temporarily increasing cluster load.
D) Consumers will need to process data from more partitions which will significantly increase consumer lag.

5. You have a Kafka consumer in production actively reading from a critical topic.
You need to update the offset of your consumer to start reading from the beginning of the topic.
Which action should you take?

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

Solutions: