An application team cannot state normal usage or future growth, yet you must create CloudWatch alarms for the application. Which approach should you recommend for alarm creation under these conditions?

Anomaly detection is the best approach when normal usage patterns and future growth are unknown. It automatically learns the baseline behavior of a metric and triggers an alarm when the metric deviates significantly from this learned pattern, adapting to changing usage over time. Static thresholds are unsuitable because you lack the data to define appropriate fixed values. Composite alarms combine multiple alarms but still rely on underlying alarms with defined thresholds or anomaly detection. Treating missing data as breaching is a configuration option for alarms, not a primary strategy for defining the alarm's threshold logic itself, and would likely lead to false positives without a clear understanding of normal operation.