Zookeeper

The video tutorial explains the role of Zookeeper in managing Kafka brokers, including leader election and notification handling. It highlights the importance of Zookeeper in production environments, where it operates with an odd number of servers. The tutorial also covers the leader and follower concept in Zookeeper, and how Kafka manages consumer offsets in its topics, isolating them from Zookeeper. Finally, it describes the interaction between Zookeeper and Kafka clusters, emphasizing the need for a well-configured setup.

What is one of the primary roles of Zookeeper in a Kafka cluster?

• Managing consumer offsets

• Performing leader election for partitions

• Storing producer data

• Handling client requests

Why is it recommended to have an odd number of Zookeeper servers in production?

• To improve read performance

• To facilitate leader election

• To ensure even distribution of data

• To reduce costs

In the context of Zookeeper, what is the role of the leader?

• To handle write requests from brokers

• To handle read requests

• To store metadata

• To manage consumer offsets

Where are consumer offsets stored in Kafka versions 0.10 and above?

• In a separate database

• In a Kafka topic

• In the producer logs

• In Zookeeper

What is the relationship between Kafka brokers and Zookeeper?

• Zookeeper processes client requests for brokers

• Brokers directly communicate with consumers through Zookeeper

• Zookeeper manages broker metadata

• Brokers store their data in Zookeeper