Which autoscaling type is triggered by a pre-defined time-based schedule?

Which autoscaling type is triggered by a pre-defined time-based schedule?

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

Answer: (B)

Time-based scheduling is the autoscaling trigger in this case. Scheduled autoscaling uses a pre-defined timetable (like a cron schedule) to adjust the number of instances or pods at specific times. This is ideal for workloads with predictable patterns, such as nightly batch processing or known business hours, because the scaling happens regardless of current load. Reactive autoscaling, by contrast, responds to real-time metrics or events (for example, CPU usage or queue depth), not on a fixed clock. Predictive autoscaling uses historical data to forecast future demand and scales in anticipation of that forecast, rather than at fixed times. The term auto autoscaling isn’t a standard, recognized mode.

Time-based scheduling is the autoscaling trigger in this case. Scheduled autoscaling uses a pre-defined timetable (like a cron schedule) to adjust the number of instances or pods at specific times. This is ideal for workloads with predictable patterns, such as nightly batch processing or known business hours, because the scaling happens regardless of current load.

Reactive autoscaling, by contrast, responds to real-time metrics or events (for example, CPU usage or queue depth), not on a fixed clock. Predictive autoscaling uses historical data to forecast future demand and scales in anticipation of that forecast, rather than at fixed times. The term auto autoscaling isn’t a standard, recognized mode.