Kafka for Developers - Data Contracts Using Schema Registry - Build a Coffee Shop Order Consumer

The video tutorial guides viewers through setting up a Kafka consumer in IntelliJ, refactoring the code to handle coffee orders, configuring necessary properties like deserializers and group IDs, and testing the consumer with a producer. It also explains the use of default values in Avro schemas, ensuring smooth data handling even when certain fields are omitted.

What is the first step in setting up the coffee order consumer project?

• Set up a new Kafka topic

• Create a package named COM loan Abro consumer

• Create a new Java class named CoffeeOrderProducer

• Initialize a new Maven project

Which component is reused from the greeting app in the coffee order consumer?

• Producer code

• Consumer code

• Database configuration

• User interface

What is the purpose of the logback.xml file in the consumer application?

• To manage user authentication

• To define Kafka topic names

• To set up logging references in the console

• To configure database connections

What indicates that the consumer application has started successfully?

• A message saying 'Kafka connected'

• A message saying 'Consumer started'

• A message saying 'Application initialized'

• A message saying 'Producer started'

What default value is assigned to the 'nickname' field in the Avro schema?

• USA

• Null

• Empty string

• New

Why does the 'store address' field default to 'USA' in the Avro record?

• It is hardcoded in the application

• It is the default value set in the schema

• It is a user input

• It is retrieved from a database

What is the default status value for the coffee order in the Avro schema?

• New

• Pending

• Processed

• Completed