Predictive scaling overview in AWS - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is Predictive Scaling in AWS?

Predictive Scaling is a feature that automatically adjusts the number of running servers before traffic changes happen, based on past usage patterns.

intermediate

How does Predictive Scaling differ from Reactive Scaling?

Predictive Scaling plans ahead using historical data to add or remove servers before demand changes, while Reactive Scaling responds only after demand changes occur.

beginner

What data does Predictive Scaling use to forecast demand?

It uses historical traffic and usage data from your application to predict future resource needs.

beginner

Why is Predictive Scaling beneficial for cloud infrastructure?

It helps keep applications running smoothly by preparing resources ahead of time, avoiding slowdowns or wasted resources.

intermediate

Can Predictive Scaling work with other AWS scaling features?

Yes, it works alongside reactive scaling to handle unexpected changes and ensures efficient resource use.

What does Predictive Scaling primarily use to adjust resources?

A Historical usage data

B Random guesses

C Manual input only

D Fixed schedules

Predictive Scaling uses historical usage data to forecast future demand and adjust resources accordingly.

Which is a key advantage of Predictive Scaling over Reactive Scaling?

A It reacts faster after demand changes

B It only works for databases

C It predicts demand before it happens

D It requires no data

Predictive Scaling forecasts demand ahead of time, allowing resources to be ready before traffic changes.

Predictive Scaling in AWS is best described as:

A Manual server management

B Automatic resource adjustment based on predictions

C A security feature

D A storage optimization tool

It automatically adjusts resources based on predicted future demand.

What happens if actual demand differs from the prediction in Predictive Scaling?

A Reactive scaling can adjust resources as needed

B The system ignores the difference

C The application shuts down

D Resources are fixed and cannot change

Reactive scaling complements predictive scaling by handling unexpected demand changes.

Which AWS service commonly uses Predictive Scaling?

A Amazon RDS snapshots

B Amazon S3

C AWS Lambda

D Amazon EC2 Auto Scaling

Amazon EC2 Auto Scaling uses Predictive Scaling to manage server capacity.

Explain how Predictive Scaling helps manage cloud resources efficiently.

Think about planning ahead to avoid surprises.

Describe the difference between Predictive Scaling and Reactive Scaling in AWS.

One plans ahead, the other reacts.