Delivery Semantics for Consumers

The video tutorial discusses delivery semantics in data processing, focusing on at most once and at least once processing. At most once processing commits offsets before processing, risking data loss if a failure occurs. At least once processing commits offsets after processing, ensuring data is re-read if a failure occurs, but may lead to duplicate processing. The importance of idempotency in processing is highlighted. The tutorial briefly mentions exactly once processing, applicable in Kafka to Kafka workflows.

What are the implications of using 'at most once' delivery semantics in data processing?

Explain the difference between 'at least once' and 'at most once' delivery semantics.

What is the significance of committing offsets after processing messages?

What does it mean for processing to be idempotent in the context of message processing?

Describe a scenario where 'at least once' delivery semantics could lead to duplicate processing.