Kafka Consumers in a Group

The video tutorial explains how Kafka consumer groups work, including setting up a consumer group, demonstrating message distribution among consumers, handling consumer failures, and reading messages from the beginning with a new group. It provides a live demonstration of these concepts, showing how messages are split among consumers and how the system rebalances when a consumer fails.

What is the primary purpose of specifying a group ID when setting up a Kafka console consumer?

• To group consumers for load balancing

• To determine the server to connect to

• To identify the topic to consume from

• To specify the starting offset

How are messages distributed among consumers in the same group?

• Messages are duplicated to all consumers

• All messages go to the first consumer

• Messages are split based on partitions

• Messages are sent randomly to any consumer

What happens when a consumer in a group is stopped?

• New consumers are automatically added

• Remaining consumers rebalance and take over

• Messages are lost

• The group stops consuming messages

What does the 'from beginning' option do when starting a new consumer group?

• It ignores all previous messages

• It reads all messages from the start of the topic

• It starts reading from the last committed offset

• It only reads new messages

Why might a consumer not see all messages even when 'from beginning' is specified?

• The group ID has already committed offsets

• The topic name is incorrect

• The topic is empty

• The server is down

What is the role of committed offsets in Kafka?

• They define the number of partitions

• They track the last read message for a group

• They specify the topic to consume from

• They determine the server to connect to

How can you ensure a consumer reads all messages from a topic?

• Use a new group ID and 'from beginning'

• Use the same group ID without 'from beginning'

• Restart the Kafka server

• Increase the number of partitions