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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:

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

2. You need to configure a sink connector to write records that fail into a dead letter queue topic. Requirements:
Topic name: DLQ-Topic
Headers containing error context must be added to the messagesWhich three configuration parameters are necessary?(Select three.)

A) errors.deadletterqueue.context.headers.enable=true
B) errors.log.enable=true
C) errors.deadletterqueue.topic.name=DLQ-Topic
D) errors.tolerance=none
E) errors.tolerance=all
F) errors.log.include.messages=true

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

4. Match the topic configuration setting with the reason the setting affects topic durability.
(You are given settings like unclean.leader.election.enable=false, replication.factor, min.insync.replicas=2)

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

Solutions: