Consumer Offsets Reset Behaviour

The video tutorial explains how Kafka consumers read from logs and the importance of managing offsets. It discusses the auto offset reset settings, including 'latest', 'earliest', and 'none', and their effects on data consumption. The tutorial highlights the significance of offset retention settings, especially in Kafka 2.0 and later versions, and how to replay data using consumer groups. It concludes with best practices for setting data retention and offset retention periods to ensure data integrity and reliability.

What happens if a Kafka consumer is down for more than the retention period?

• The consumer will automatically catch up when it restarts.

• The offsets become invalid, and data is missed.

• The consumer will read from the beginning of the log.

• The consumer will throw an exception and stop.

What does the 'latest' setting in auto offset reset do?

• Reads from the start of the log.

• Reads from the end of the log.

• Throws an exception if no offset is found.

• Prompts for manual intervention.

In Kafka 2.0 and later, what happens if a consumer hasn't read new data in seven days?

• The consumer will lose its offsets.

• The consumer will automatically reset its offsets.

• The consumer will continue from the last known offset.

• The consumer will throw an exception.

How can you replay data for a Kafka consumer?

• By changing the auto offset reset setting to 'earliest'.

• By restarting the Kafka broker.

• By using the Kafka consumer groups command to set the offset.

• By increasing the data retention period.

Why is it important to set the offset retention period to match the data retention period?

• To ensure consumers can replay data from the beginning.

• To avoid manual intervention when offsets are lost.

• To prevent data loss when consumers are down for extended periods.

• To allow consumers to read from the latest offset.