Data Science Model Deployments and Cloud Computing on GCP - App Engine - Different Environments

The video tutorial explains the deployment of applications on Google App Engine, focusing on the differences between the Standard and Flexible Environments. The Standard Environment is preconfigured with specific runtime versions, making it suitable for applications written in supported languages like Python, Java, Node, PHP, Ruby, and Go. In contrast, the Flexible Environment allows for customization of runtime versions and supports dockerized applications, overcoming the limitations of the Standard Environment. It also supports additional languages like .NET, which are not available in the Standard Environment.

What is a key feature of the Google App Engine's standard environment?

• It comes preconfigured with specific runtime versions.

• It requires manual configuration for each deployment.

• It allows for unlimited runtime customization.

• It supports all programming languages by default.

Which programming language version is mentioned as being supported by the standard environment?

• Python 3.7

• Java 8

• Node.js 14

• Python 2.7

What is a benefit of deploying applications in the standard environment?

• It supports all versions of every language.

• It provides a sandboxed environment for specific versions.

• It allows for real-time runtime updates.

• It requires no configuration for any application.

How does the flexible environment differ from the standard environment?

• It only supports Python applications.

• It is limited to preconfigured versions.

• It allows for runtime version customization.

• It does not support dockerized applications.

Which language is supported by the flexible environment but not by the standard environment?

• Python

• Java

• Node.js

• .NET