Microsoft Azure AI Engineer Associate AI-102 Practice Question
An accounts payable team has thousands of vendor invoices in PDF and JPEG formats. They need to automatically identify and extract the invoice number, vendor name, due date, and total amount as JSON so that they can push the data into an ERP system. They prefer a managed Azure service that requires minimal custom model training. Which Azure service should you recommend?
Azure AI Language service - Named Entity Recognition
Azure Cognitive Search indexing pipeline with built-in OCR skill
Azure AI Document Intelligence (formerly Form Recognizer) pre-built Invoice model
Azure AI Document Intelligence is purpose-built to extract structured data such as key-value pairs, tables, and line items from forms and business documents, including invoices. It can return the identified fields as JSON with little or no custom model training through its pre-built Invoice model. The Read OCR capability in Azure AI Vision only returns raw text; you would still need custom logic to locate and label invoice fields. Named Entity Recognition in Azure AI Language works on already extracted plain text and is designed to find entities such as people or locations, not document-layout-based fields. Azure Cognitive Search focuses on indexing and searching content; while it can orchestrate enrichment skills, it is not the dedicated service for high-accuracy field extraction from invoices.
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Microsoft Azure AI Engineer Associate AI-102
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