Data Science Model Deployments and Cloud Computing on GCP - Introduction-GCP - Cloud Computing

Data Science Model Deployments and Cloud Computing on GCP - Introduction-GCP - Cloud Computing

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

Created by

Quizizz Content

FREE Resource

This video tutorial introduces core cloud computing concepts essential for beginners. It covers scalability, including vertical and horizontal scaling, and compares serverless and in-server computing models. The tutorial also explains containerization with Docker, microservices, and microservice architecture. Finally, it discusses event-driven architecture in modern cloud environments, applicable across various cloud service providers.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary benefit of understanding core cloud concepts before engaging in lab sessions?

It helps in passing certification exams.

It ensures a better understanding of Google Cloud specifically.

It provides a foundation applicable to all cloud service providers.

It allows skipping the lab sessions entirely.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which type of scaling involves adding more resources to an existing server?

Cloud scaling

Diagonal scaling

Vertical scaling

Horizontal scaling

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key characteristic of serverless computing?

It is only available on Google Cloud.

It is more expensive than in-server computing.

It automatically scales with demand.

It requires manual server management.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary function of Docker in cloud computing?

To enhance vertical scaling

To provide a platform for containerization

To replace microservices

To manage serverless functions

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a defining feature of a microservice architecture?

It relies heavily on vertical scaling.

It is incompatible with event-driven architecture.

Each service is independent and can be deployed separately.

All services are tightly integrated.