Design Microservices Architecture with Patterns and Principles - Stateless and Stateful Application Horizontal Scaling

Design Microservices Architecture with Patterns and Principles - Stateless and Stateful Application Horizontal Scaling

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

Created by

Quizizz Content

FREE Resource

The video tutorial discusses scaling applications, focusing on vertical and horizontal scaling. It explains the differences between stateless and stateful applications, emphasizing the importance of managing stateful data with the CAP theorem. The tutorial also covers consistency levels, including strict and eventual consistency, and introduces database sharding as a method to scale stateful services. The challenges of managing data in distributed systems are highlighted.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary difference between vertical and horizontal scaling?

Vertical scaling is more cost-effective than horizontal scaling.

Vertical scaling involves adding more resources to existing servers, while horizontal scaling involves adding more servers.

Vertical scaling involves adding more servers, while horizontal scaling involves adding more resources to existing servers.

Horizontal scaling is only applicable to stateful applications.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is horizontal scaling usually preferred in distributed architectures?

It requires less hardware resources.

It allows for better load distribution across multiple servers.

It is only suitable for stateless applications.

It is easier to implement than vertical scaling.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the CAP theorem primarily concerned with?

Optimizing network latency in microservices.

Ensuring data security in cloud environments.

Managing stateful data in horizontally scaled applications.

Balancing cost and performance in distributed systems.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which consistency level ensures that data changes are immediately visible to all clients?

Strong consistency

Eventual consistency

Delayed consistency

Partial consistency

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of database sharding?

To reduce the cost of database maintenance.

To partition and distribute data across multiple servers for scalability.

To increase the security of database servers.

To simplify the database schema design.