Vision and Document Intelligence

1. What is the primary function of OCR in the context of Azure AI Vision?

To convert images into 3D models To convert printed or handwritten text into machine-readable text To enhance image quality for better visualization To detect faces in images

2. What distinguishes prebuilt models from custom models in Azure AI Document Intelligence?

Prebuilt models require extensive training data Custom models can only be used on fixed layouts Prebuilt models handle common document types without needing training data Custom models are cheaper and faster to implement

3. In the context of confidence scores in document extraction, what is the standard enterprise approach for low-confidence values?

All values are reviewed by a machine learning model Low-confidence values are automatically corrected without review Low-confidence values are sent for human review while high-confidence values are processed All values are ignored if they are below the threshold

4. Why is it crucial to design the review queue and audit trail into the architecture from the beginning when working with document intelligence?

To reduce operational costs To avoid bias in AI models To ensure compliance in due-process situations To expedite data processing speed

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