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AZ-400 · Question #252

You have an Azure DevOps organization named Contoso and an Azure subscription. The subscription contains an Azure virtual machine scale set named VMSS1 that is configured for autoscaling. You use Azur

The correct answer is A. the Smart Detection feature in Azure Application Insights. After setting up Application Insights for your project, and if your app generates a certain minimum amount of data, Smart Detection of failure anomalies takes 24 hours to learn the normal behavior of your app, before it is switched on and can send alerts. https://docs.microsoft.c

Submitted by deeparc· Mar 6, 2026Implement an instrumentation strategy

Question

You have an Azure DevOps organization named Contoso and an Azure subscription. The subscription contains an Azure virtual machine scale set named VMSS1 that is configured for autoscaling. You use Azure DevOps to build a web app named App1 and deploy App1 to VMSS1. App1 is used heavily and has usage patterns that vary on a weekly basis. You need to recommend a solution to detect an abnormal rise in the rate of failed requests to App1. The solution must minimize administrative effort. What should you include in the recommendation?

Options

  • Athe Smart Detection feature in Azure Application Insights
  • Bthe Failures feature in Azure Application Insights
  • Can Azure Service Health alert
  • Dan Azure Monitor alert that uses an Azure Log Analytics query

How the community answered

(42 responses)
  • A
    83% (35)
  • B
    10% (4)
  • C
    2% (1)
  • D
    5% (2)

Explanation

After setting up Application Insights for your project, and if your app generates a certain minimum amount of data, Smart Detection of failure anomalies takes 24 hours to learn the normal behavior of your app, before it is switched on and can send alerts. https://docs.microsoft.com/en-us/azure/azure-monitor/app/proactive-failure-diagnostics

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