A company's applications run on EC2 instances in Auto Scaling groups and experience sudden traffic spikes on random days. The company needs to maintain performance during these sudden increases in the most cost-effective way. Which solution best meets this requirement?

Dynamic scaling is the most suitable solution because it automatically adjusts the Auto Scaling group's capacity in response to real-time changes in demand, such as sudden traffic spikes. This ensures performance is maintained while only scaling up when necessary, making it cost-effective. Manual scaling is reactive and slow, unable to handle sudden spikes efficiently. Predictive scaling anticipates future traffic based on historical data, which is useful for predictable patterns but less effective for random, sudden spikes. Scheduled scaling adjusts capacity based on a fixed time schedule, which also doesn't address unpredictable traffic surges.