Question
A company plans to implement AI Builder to add intelligence to several business processes.
Each business process uses different sources and produces different outputs.
You need to determine which AI Builder model types to use.
Which model types should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:
Explanation
Identify a person's age in a paragraph when written using the pattern twenty years old.: Entity extraction — AI Builder's entity extraction model reads unstructured text and classifies spans into predefined entity types such as age, person, date, quantity, or location, so it can pull "twenty years old" out of a paragraph and return it as an age value regardless of whether it is written in words or digits. Key phrase extraction only surfaces the main talking points of the text without typing them as an age, and text recognition (OCR) is for pulling text out of images rather than analyzing text you already have.
Identify items and prices from an invoice.: Form processing — the form processing model is trained on document layouts to extract specific named fields and, critically, table rows, which is exactly what an invoice's line items with descriptions and prices are; it returns each item and price as a structured key/value or table output usable in Power Automate or a canvas app. Text recognition would return only a flat, unstructured dump of every word on the invoice with no mapping of item to price, and object detection identifies physical objects in photos, not fields in a document.
