Brokers and Topics

The video tutorial explains the concept of brokers and clusters in Apache Kafka. It describes how a Kafka cluster is composed of multiple brokers, each acting as a server. The tutorial covers the assignment of broker IDs, the distribution of data across brokers, and the creation of topics and partitions. It highlights that connecting to one broker connects you to the entire cluster. The video also explains how topics are automatically distributed across brokers and how the number of partitions affects data distribution. The tutorial sets the stage for further discussions on replication factors in Kafka.

What is a Kafka cluster composed of?

• Multiple brokers

• Multiple topics

• Multiple servers

• Multiple partitions

What is the role of a bootstrap broker in Kafka?

• It holds all the data in the cluster

• It is used for data replication

• It connects to a single broker

• It connects to the entire cluster

What is a good starting number of brokers for a Kafka cluster?

• 2

• 1

• 3

• 4

How does Kafka distribute topic partitions across brokers?

• Manually by the user

• Automatically by Kafka

• Randomly without any logic

• Based on broker ID

What happens if a topic has more partitions than there are brokers?

• Some brokers will have multiple partitions

• The topic cannot be created

• Some partitions will be left unassigned

• All brokers will have the same number of partitions