Apache Kafka - Real-time Stream Processing (Master Class) - Understanding Local Vs Remote State Store

The video tutorial explains the concept of interactive queries in Kafka Streams, focusing on the importance of state stores. It discusses the distinction between local and remote state stores in distributed applications and how Kafka Streams APIs facilitate querying these stores. The tutorial also covers the use of an RPC layer, such as REST API, to abstract data retrieval from local or remote stores, ensuring seamless data access for external applications.

What is the primary role of state stores in Kafka Streams?

• To handle network requests

• To serve data for interactive queries

• To manage user authentication

• To store application logs

How is the state of an application managed in a distributed stream application?

• It is stored in a central database

• It is split across distributed instances

• It is managed by a single server

• It is stored in the cloud

What is a key challenge when accessing data from a remote state store?

• Data might be corrupted

• Lack of APIs for direct access

• Data might be outdated

• Network latency issues

What is the first step in querying a remote state store?

• Sending a request to the central server

• Using APIs to find active instances and their hostnames

• Modifying the local state store

• Directly accessing the remote database

How does a primary server handle a request for data located in a remote store?

• It denies the request

• It forwards the request internally to the remote server

• It sends an error message

• It retrieves data from a backup

What is the benefit of abstracting data retrieval from local or remote stores?

• It increases data security

• It reduces data redundancy

• It simplifies the application code

• It ensures transparency to the external application

What technology can be used to query the application state over an RPC layer?

• SMTP

• FTP

• REST API

• Telnet