Crucial Exams

Microsoft Azure AI Engineer Associate AI-102 Practice Question

You are building an Azure AI Document Intelligence solution to extract data from invoices sent by 30 suppliers. Besides standard fields (invoice ID, date, total), finance requires a custom CostCenter field that no prebuilt model returns. Layouts vary widely and change over time. You need one endpoint that reliably extracts every field with minimal post-processing. Which model type should you train and deploy?

  • Label representative invoices from all suppliers and train a custom neural model, then publish it as a single endpoint.

  • Train a custom template model by uploading five unlabeled sample invoices from each supplier.

  • Process the files with the prebuilt general document model and add a post-processing script to detect CostCenter.

  • Use the prebuilt Invoice model and map the output to custom fields at runtime.

Microsoft Azure AI Engineer Associate AI-102
Implement knowledge mining and information extraction solutions
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