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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:

1. Your Kafka cluster has five brokers. The topic t1 on the cluster has:
* Two partitions
* Replication factor = 4
* min.insync.replicas = 3You need strong durability guarantees for messages written to topic t1.You configure a producer acks=all and all the replicas for t1 are in-sync.How many brokers need to acknowledge a message before it is considered committed?

A) 3
B) 2
C) 4
D) 5

2. 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) Increase session.timeout.ms property.
D) Split consumers in different consumer groups.

3. A topic has three replicas and you set min.insync.replicas to 2. If two out of three replicas are not available, what happens when a produce request with acks=all is sent to broker?

A) NotEnoughReplicasException will be returned
B) Produce request is honored with single in-sync replica
C) Produce request will block till one of the two unavailable partition is available again.

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

5. 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, no other action needed.
C) Log the bad record and seek the consumer to the offset of the next record.
D) Throw a runtime exception to trigger a restart of the application.

Solutions: