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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:

1. while (true) {
ConsumerRecords<String, String> records = consumer.poll(100);
try {
consumer.commitSync();
} catch (CommitFailedException e) {
log.error("commit failed", e)
}
for (ConsumerRecord<String, String> record records)
{
System.out.printf("topic = %s, partition = %s, offset =
%d, customer = %s, country = %s
",
record.topic(), record.partition(),
record.offset(), record.key(), record.value());
}
}
What kind of delivery guarantee this consumer offers?

A) At-least-once
B) At-most-once
C) Exactly-once

2. When is the onCompletion() method called?
private class ProducerCallback implements Callback {
@Override
public void onCompletion(RecordMetadata recordMetadata, Exception e) {
if (e != null) {
e.printStackTrace();
}
}
}
ProducerRecord<String, String> record =
new ProducerRecord<>("topic1", "key1", "value1");
producer.send(record, new ProducerCallback());

A) When send() method is called
B) When message is serialized successfully
C) When the message is partitioned and batched successfully
D) When the broker response is received

3. In Avro, removing a field that does not have a default is a __ schema evolution

A) backward
B) forward
C) breaking
D) full

4. A consumer wants to read messages from partitions 0 and 1 of a topic topic1. Code snippet is shown below.
consumer.subscribe(Arrays.asList("topic1"));
List<TopicPartition> pc = new ArrayList<>();
pc.add(new PartitionTopic("topic1", 0));
pc.add(new PartitionTopic("topic1", 1));
consumer.assign(pc);

A) Throws IllegalStateException
B) This works fine. subscribe() will subscribe to the topic and assign() will assign partitions to the consumer.

5. What happens when broker.rack configuration is provided in broker configuration in Kafka cluster?

A) Replicas for a partition are spread across different racks
B) Replicas for a partition are placed in the same rack
C) You can use the same broker.id as long as they have different broker.rack configuration
D) Each rack contains all the topics and partitions, effectively making Kafka highly available

Solutions: