You work for a hotel and have a dataset that contains customers' written comments scanned from paper-based customer feedback forms, which are stored as PDF files. Every form has the same layout. You n

While the Vision API can perform Optical Character Recognition (OCR) on PDFs, it is a more general-purpose tool and less optimized for structured document understanding and field extraction compared to Document AI, especially when forms have a consistent layout.

While the Vision API can perform Optical Character Recognition (OCR) on PDFs, it is a more general-purpose tool and less optimized for structured document understanding and field extraction compared to Document AI, especially when forms have a consistent layout.

A Document AI custom extractor is ideal for this scenario because it can be trained to precisely identify and extract text from specific fields, like a comments section, within structured documents like feedback forms with consistent layouts. Once the relevant text is extracted, it can then be fed into a natural language model for sentiment analysis to predict an overall satisfaction score.

Option D is textually identical to option C and is correct for the same reasons.