Exam AWS Certified Cloud Practitioner topic 1 question 786 discussion

B. Predictive scaling "In general, if you have regular patterns of traffic increases and applications that take a long time to initialize, you should consider using predictive scaling. Predictive scaling can help you scale faster by launching capacity in advance of forecasted load, compared to using only dynamic scaling, which is reactive in nature. Predictive scaling can also potentially save you money on your EC2 bill by helping you avoid the need to overprovision capacity." https://docs.aws.amazon.com/autoscaling/ec2/userguide/ec2-auto-scaling-predictive-scaling.html#:~:text=In%20general%2C%20if,to%20overprovision%20capacity.

B) Predictive scaling. Predictive scaling is an AWS feature that uses machine learning to forecast future traffic based on historical traffic patterns and schedule changes in the number of Amazon EC2 instances at the appropriate times. It is a type of proactive scaling, which means that it takes action before traffic actually arrives. This can help prevent capacity issues during unexpected traffic spikes and save costs by reducing the number of unnecessary instances.

Predictive scaling analyzes historical traffic patterns and identifies trends and patterns to predict future traffic. It uses this information to schedule scaling actions ahead of time, which can reduce the time required to respond to traffic spikes or drops. This feature helps to ensure that the appropriate number of EC2 instances is available to handle traffic while avoiding over-provisioning, which can result in unnecessary costs.