Microsoft Certified Azure AI Engineer Associate - AI-102
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Consider a scenario where you need to use prebuilt models to extract data from a large batch of invoices. Describe how you would structure your Azure Blob storage to efficiently store these invoices, and outline the steps you would take to process them using the Document Intelligence API. Additionally, explain how you would handle errors and retries in this process.
A
Store invoices in a single Blob container, use a single API call to process all invoices, and handle errors by retrying failed invoices up to three times.
B
Store invoices in multiple Blob containers based on date, use batch API calls to process invoices, and handle errors by logging them for manual review.
C
Store invoices in a single Blob container, use parallel API calls to process invoices, and handle errors by implementing an exponential backoff retry strategy.
D
Store invoices in multiple Blob containers based on invoice type, use sequential API calls to process invoices, and handle errors by retrying failed invoices immediately.