A Spark job and a separate audit service both read the same fare-tap topic without blocking each other. What Kafka role do those readers play?
Select an answer to reveal the explanation.
Short Explanation
Consumers are the listeners. Spark and audit can both tune into the same tap channel, each keeping its own place in the conversation.
Full Explanation
Kafka consumers subscribe to topics and read records, often organized into consumer groups. Multiple independent groups can each process the full stream for different purposes, such as analytics and audit. That fan-out is a key reason messaging fits multi-team municipal platforms.