You deploy a heavily used web app (App1) to a virtual machine scale set (VMSS1) configured for autoscaling. Usage varies weekly. You need a low-administration solution to detect an abnormal increase in failed request rate for App1. What should you recommend?

Smart Detection in Azure Application Insights automatically detects abnormal increases in failed request rates and other performance anomalies without requiring manual configuration of thresholds. This makes it a low-administration solution. The Failures feature in Application Insights provides detailed information about failures but doesn't automatically detect anomalies; it requires manual analysis. Azure Service Health alerts notify you about service incidents or planned maintenance that affect Azure services themselves, not application-specific performance issues. An Azure Monitor alert with a Log Analytics query could detect this, but it requires manual creation and fine-tuning of the query and thresholds, making it less "low-administration" than Smart Detection.