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?
A. Configure a CPU Optimized virtual machine (VM) and install the Web App service on the new instance.
B. Configure a series of CPU Optimized virtual machine (VM) instances and install extraction logic to process a queue.
C. Move the extraction logic into an Azure Function. Create a queue triggered function to process the queue.
D. Configure Azure Container Service to retrieve items from a queue and run across a pool of virtual machine (VM) nodes using the extraction logic.
