AWS Solutions Architect Associate (SAA-C02) Exam Prep Course - 2021 UPDATED! - Auto Scaling Overview

The video tutorial explains the concept of virtualization and its advantages, focusing on AWS's auto scaling feature. It details how auto scaling allows for dynamic scaling of resources based on demand, optimizing both performance and cost. The tutorial covers the functionality of auto scaling, the types of resources that can be scaled, and the importance of cost management. It emphasizes the benefits of auto scaling over traditional physical server infrastructures and provides insights into planning effective auto scaling deployments within AWS.

What is a key advantage of AWS Auto Scaling compared to traditional physical server infrastructures?

• It requires no initial setup.

• It does not require any maintenance.

• It allows for dynamic scaling based on demand.

• It is cheaper than physical servers.

How does AWS Auto Scaling manage resources when CPU utilization is high?

• It reduces the workload.

• It increases the CPU speed.

• It shuts down instances.

• It adds more instances.

Which of the following resources can be auto-scaled in AWS?

• EC2 instances

• S3 buckets

• RDS snapshots

• Lambda functions

What is a potential cost implication of using AWS Auto Scaling?

• It has a fixed monthly fee.

• It is always free to use.

• It reduces costs by 50%.

• It may increase costs due to additional resources.

What can AWS Auto Scaling do to help manage costs?

• Provide a discount on all instances.

• Limit the number of instances to a fixed number.

• Limit the total amount spent per hour.

• Automatically shut down all instances at night.

Why is it acceptable for costs to increase when using AWS Auto Scaling?

• Because AWS offers a refund.

• Because increased demand justifies the cost.

• Because the service is free.

• Because it is a temporary increase.

What should you consider when planning an AWS Auto Scaling deployment?

• The type of operating system used.

• The color of the server racks.

• The number of physical servers available.

• The areas of configuration and cost management.