Consumer Part 6 - Replaying Data

The video tutorial explains how to verify Kafka consumer offsets and ensure data catch-up in Elasticsearch. It demonstrates stopping a consumer, resetting offsets, and correcting commands to reset offsets for a specific topic. The tutorial also covers replaying data and ensuring idempotency to avoid duplicates in Elasticsearch.

What does it mean when the Kafka consumer's current offset equals the log end offset?

• The consumer is lagging behind.

• The consumer is paused.

• The consumer has caught up with the log.

• The consumer is ahead of the log.

What is the first step to replay data from the beginning in Kafka?

• Increase the consumer offset.

• Stop the consumer.

• Change the topic name.

• Delete the log files.

Which command is used to reset the consumer offsets in Kafka?

• start_offsets

• clear_offsets

• set_offsets

• reset_offsets

Why is it safe to replay data into Elasticsearch?

• Because the consumer is idempotent.

• Because the log is immutable.

• Because Elasticsearch automatically deletes duplicates.

• Because the data is encrypted.

What ensures that Elasticsearch does not have duplicate data when replaying logs?

• The topic's uniqueness.

• The offset's reset.

• The log's immutability.

• The consumer's idempotency.