AWS Certified Solutions Architect Associate (SAA-C02) Exam Prep Course - Autoscaling

AWS Certified Solutions Architect Associate (SAA-C02) Exam Prep Course - Autoscaling

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video tutorial covers the concept of cloud elasticity, focusing on AWS Auto Scaling. It explains the setup process, including the use of launch templates and creating auto scaling groups. The tutorial also discusses load balancing, monitoring, and adjusting EC2 instances, and concludes with cleaning up configurations. The video emphasizes the ease and efficiency of using AWS Auto Scaling.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is one of the fundamental characteristics of cloud technologies according to the National Institute of Standards and Technology?

Scalability

Elasticity

Security

Cost-effectiveness

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the recommended starting point for setting up auto scaling configurations in AWS?

AWS Management Console

EC2 Dashboard

AWS CloudFormation

AWS CLI

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What feature is encouraged to be used instead of launch configurations in AWS auto scaling?

Elastic Load Balancers

Security Groups

Launch Templates

Instance Profiles

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which AMI is selected in the video for the auto scaling group?

Windows Server

Ubuntu

Amazon Linux 2

Red Hat Enterprise Linux

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of selecting a key pair when creating a launch template?

To encrypt data

To access EC2 instances

To manage user permissions

To monitor network traffic

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the maximum number of EC2 instances set in the auto scaling group in the video?

3

2

4

5

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which metric is used to trigger additional instances in the auto scaling group?

CPU Utilization

Disk Usage

Network Traffic

Memory Utilization

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