You have an Azure App Service API that allows users to upload documents to the cloud with a mobile device. A mobile app connects to the service by using REST API calls. When a new document is uploaded to the service, the service extracts the document metadata. Usage statistics for the app show significant increases in app usage. The extraction process is CPU-intensive. You plan to modify the API to use a queue. You need to ensure that the solution scales, handles request spikes, and reduces costs between request spikes. What should you do?

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You have an Azure App Service API that allows users to upload documents to the cloud with a mobile device. A mobile app connects to the service by using REST API calls. When a new document is uploaded to the service, the service extracts the document metadata. Usage statistics for the app show significant increases in app usage. The extraction process is CPU-intensive. You plan to modify the API to use a queue. You need to ensure that the solution scales, handles request spikes, and reduces costs between request spikes. What should you do?