Design Microservices Architecture with Patterns and Principles - Real-World Examples of Event-Driven Microservices Archi

Design Microservices Architecture with Patterns and Principles - Real-World Examples of Event-Driven Microservices Archi

Assessment

Interactive Video

Information Technology (IT), Architecture, Business

University

Hard

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The video tutorial explains the use of event-driven architecture in microservices, particularly in an e-commerce application. It highlights the benefits of using events for process flow, making it more understandable and adaptable to new business requirements. The tutorial discusses how microservices focus on events rather than other services, using Kafka as a message broker. It also covers innovations in event-driven architecture, such as real-time processing and data intelligence, and the role of Event Hubs in facilitating communication and processing in real-time environments.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is one of the main advantages of using events in microservices for an e-commerce application?

It makes the process more understandable and adaptable.

It ensures all orders are processed manually.

It reduces the number of microservices needed.

It eliminates the need for a payment system.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a traditional event-driven architecture, what role does Kafka play?

It is used for manual order processing.

It replaces the need for microservices.

It acts as a database for storing customer data.

It serves as a message broker for event communication.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can event-driven communication be improved according to the traditional approach?

By eliminating the use of message brokers.

By making it more generic and enabling real-time processing.

By reducing the number of events processed.

By focusing solely on batch processing.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the function of Event Hubs in modern event-driven architectures?

They replace all microservices.

They act as a large event store for real-time processing.

They are used for manual data entry.

They store customer profiles.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which tool is mentioned as capable of processing C stream data in event-driven architectures?

Apache Hadoop

Apache Spark

Microsoft Excel

Google Sheets