Consumers and Consumer Groups

The video tutorial explains the role of consumers in reading data from topics, highlighting how data is read in order within partitions. It introduces consumer groups, which allow multiple consumers to read data in parallel, and discusses how to manage multiple consumers, including handling inactive consumers. The tutorial emphasizes the importance of choosing the right number of partitions to match the number of consumers.

What is the primary role of a consumer in Kafka?

• To read data from a topic

• To create new topics

• To manage broker failures

• To produce data to a topic

How do consumers read data from multiple partitions?

• In a specific order across all partitions

• In parallel without a specific order across partitions

• Only from one partition at a time

• By merging data from all partitions

What is a consumer group in Kafka?

• A collection of topics for consumers

• A set of consumers that read data from exclusive partitions

• A group of brokers managing data

• A single consumer reading from all partitions

What happens if there are more consumers than partitions in a consumer group?

• Partitions will be automatically increased

• All consumers will be active

• Some consumers will be inactive

• Data will be duplicated

Why is it important to match the number of consumers to the number of partitions?

• To reduce the number of brokers

• To simplify the consumer group management

• To ensure all consumers are active

• To increase the number of topics