Data Science Model Deployments and Cloud Computing on GCP - Lab - Scalability and Instance Types in App Engine

Data Science Model Deployments and Cloud Computing on GCP - Lab - Scalability and Instance Types in App Engine

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial covers the importance of scalability in applications, particularly in cloud environments like Google App Engine. It explains the need to control scalability to manage costs effectively. The tutorial details the features of Google App Engine, including automatic and manual scaling, and how to configure these using YAML files. It also discusses key parameters for automatic scaling, such as CPU utilization and latency, and provides practical tips for deploying applications with these scaling features.

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is it important to control the scalability of an application?

To reduce development time

To enhance user experience

To improve application performance

To manage costs effectively

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the two types of scalability features available in Google App Engine?

Cloud and On-premise

Dynamic and Static

Automatic and Manual

Horizontal and Vertical

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which instance type is used by default if no parameters are specified in the YAML file?

B1

F1

B8

F4

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In manual scaling, what does the 'instances' parameter specify?

The amount of memory per instance

The storage size per instance

The number of instances to spin up

The number of CPUs per instance

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens when the CPU utilization of an instance reaches 80% in automatic scaling?

The application is restarted

The instance is upgraded

A new instance is spun up

The instance is shut down

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does 'max idle instances' parameter control in automatic scaling?

The maximum number of instances that can be idle

The maximum CPU usage per instance

The maximum storage per instance

The maximum memory usage per instance

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the significance of 'max concurrent requests' in automatic scaling?

It limits the number of requests per application

It defines the number of requests per instance before scaling

It determines the number of requests per minute

It sets the maximum number of users

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