Data Science Model Deployments and Cloud Computing on GCP - Event-Driven Architecture

The video tutorial explains event-driven architecture, focusing on how events trigger communication between decoupled microservices. It highlights the asynchronous nature of this architecture and uses a checkout process in an e-commerce website as an example. The tutorial discusses the role of a persistence layer, such as messaging queues or cloud storage, in storing event data. It provides a practical example using Google Cloud services like Cloud Run and Cloud Functions. The video concludes by distinguishing event-driven architecture from distributed systems and encourages further exploration of the topic.

What is an event in the context of event-driven architecture?

• A type of database transaction

• A scheduled task that runs periodically

• A fact containing data about a past occurrence

• A user interface element

In the e-commerce example, which microservice needs to know about the checkout event to update item availability?

• Notification Microservice

• Inventory Microservice

• User Profile Microservice

• Payment Microservice

What role does a persistence layer play in an event-driven architecture?

• It handles network security protocols

• It persists data for communication between microservices

• It manages the user interface layout

• It stores user credentials securely

Which Google Cloud service is used to deploy the checkout microservice in the example?

• Google Cloud SQL

• Google Cloud Run

• Google Cloud Functions

• Google Cloud Storage

What is the primary function of Google Pub/Sub in the described architecture?

• To provide real-time analytics

• To act as a messaging queue for events

• To manage user authentication

• To store large files

How does the event-driven architecture ensure that the checkout microservice remains unaffected by other services?

• By implementing a monolithic architecture

• By storing data in a local database

• By decoupling services through a messaging queue

• By using synchronous communication

What is a key distinction between event-driven architecture and distributed systems?

• Event-driven architecture is a type of algorithm

• Distributed systems are always synchronous

• Distributed systems focus on data distribution and resiliency

• Event-driven architecture is only used in cloud environments