The exactly once guarantee in the Kafka Streams is for which flow of data?

• A.Kafka => Kafka
• B.Kafka => External
• C.External => Kafka

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You want to send a message of size 3 MB to a topic with default message size configuration. How does KafkaProducer handle large messages?

• A.KafkaProducer divides messages into sizes of max.request.size and sends them in order
• B.KafkaProducer divides messages into sizes of message.max.bytes and sends them in order
• C.MessageSizeTooLarge exception will be thrown, KafkaProducer will not retry and return exception immediately
• D.MessageSizeTooLarge exception will be thrown, KafkaProducer retries until the number of retries are exhausted

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

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Your Kafka cluster has five brokers. The topic t1 on the cluster has two partitions, and it has replication.factor
= 4, min.insync.replicas = 3.
You want to have strong durability guarantees for messages written to topic t1.
If you configure a producer 'acks=all', how many brokers need to acknowledge a message before it is considered committed?

• A.3
• B.2
• C.5
• D.4

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If I want to have an extremely high confidence that leaders and replicas have my data, I should use

• A.acks=all, replication factor=2, min.insync.replicas=1
• B.acks=1, replication factor=3, min.insync.replicas=2
• C.acks=all, replication factor=3, min.insync.replicas=2
• D.acks=all, replication factor=3, min.insync.replicas=1

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