You need to design a real-time stream solution that uses Azure Functions to process data uploaded to Azure Blob Storage.
The solution must meet the following requirements:
Support up to 1 million blobs.
 
✑ Scaling must occur automatically.
✑ Costs must be minimized.
What should you recommend?

A. Deploy the Azure Function in an App Service plan and use a Blob trigger.

B. Deploy the Azure Function in a Consumption plan and use an Event Grid trigger.

C. Deploy the Azure Function in a Consumption plan and use a Blob trigger.

D. Deploy the Azure Function in an App Service plan and use an Event Grid trigger.








 

Suggested Answer: C

Create a function, with the help of a blob trigger template, which is triggered when files are uploaded to or updated in Azure Blob storage.
You use a consumption plan, which is a hosting plan that defines how resources are allocated to your function app. In the default Consumption Plan, resources are added dynamically as required by your functions. In this serverless hosting, you only pay for the time your functions run. When you run in an App Service plan, you must manage the scaling of your function app.
Reference:
https://docs.microsoft.com/en-us/azure/azure-functions/functions-create-storage-blob-triggered-function

This question is in DP-201 Designing an Azure Data Solution Exam
For getting Microsoft Certified: Azure Data Engineer Associate Certificate



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