Which Autoscaling type reacts when metrics hit a given threshold?

Which Autoscaling type reacts when metrics hit a given threshold?

• A. Reactive Autoscaling
• B. Predictive Autoscaling
• C. Scheduled Autoscaling
• D. Auto Autoscaling

Answer: (A)

The concept being tested is how autoscaling decisions are triggered by metrics thresholds. Reactive autoscaling monitors metrics in real time and when a metric crosses a predefined threshold—such as CPU utilization exceeding a set limit—it immediately triggers a scale-out or scale-in action to bring the workload back to desired levels. This makes it responsive to current load. Predictive autoscaling uses historical data to forecast demand and adjust ahead of spikes, while scheduled autoscaling changes capacity at fixed times regardless of current metrics. The term Auto Autoscaling isn’t a standard type in this context.

The concept being tested is how autoscaling decisions are triggered by metrics thresholds. Reactive autoscaling monitors metrics in real time and when a metric crosses a predefined threshold—such as CPU utilization exceeding a set limit—it immediately triggers a scale-out or scale-in action to bring the workload back to desired levels. This makes it responsive to current load. Predictive autoscaling uses historical data to forecast demand and adjust ahead of spikes, while scheduled autoscaling changes capacity at fixed times regardless of current metrics. The term Auto Autoscaling isn’t a standard type in this context.