You develop a Web App on a tier D1 app service plan.
You notice that page load times increase during periods of peak traffic.
You want to implement automatic scaling when CPU load is above 80 percent.
Your solution must minimize costs.
What should you do first?
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A. B. C. D.C.
Configure the web app to the Standard App Service Tier.
The Standard tier supports auto-scaling, and we should minimize the cost.
We can then enable autoscaling on the web app, add a scale rule and add a Scale condition.
https://docs.microsoft.com/en-us/azure/monitoring-and-diagnostics/monitoring-autoscale-get-started https://azure.microsoft.com/en-us/pricing/details/app-service/plans/Based on the scenario, the first step to take to implement automatic scaling when CPU load is above 80 percent and minimize costs is to enable autoscaling on the Web App (Option A).
Autoscaling allows your application to handle increases in traffic automatically by dynamically adjusting the resources available to the application. This means that as traffic increases, the application can automatically scale up to provide additional resources and scale down again when traffic subsides. By enabling autoscaling, you can ensure that the application can handle increased traffic during peak periods without the need for manual intervention, thereby reducing the risk of downtime due to insufficient resources.
Switching to the Premium or Standard App Service tier plan (Options B and C) may provide additional resources, but it may not be cost-effective if the traffic is not consistently high. Additionally, these options may require manual scaling, which can be time-consuming and may lead to downtime if not done properly.
Switching to the Azure App Services consumption plan (Option D) may also be cost-effective, but it may not provide the level of control required to ensure that the application can handle peak traffic without downtime.
Therefore, the best option to implement automatic scaling when CPU load is above 80 percent and minimize costs is to enable autoscaling on the Web App.