PL-500 · Question #155
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might…
The correct answer is A. Yes. The 'Extract custom information from documents' AI Builder model (custom entity extraction) is specifically designed to be trained on your own documents to recognize and extract custom-defined fields - such as vendor name, contact details, pricing, and quote terms. Once trained…
Question
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. A procurement department is using email to collect large volumes of quotes from vendors. Data from quotes, including vendor data and quote terms, must be stored in Microsoft Dataverse. You need to create a solution to automate the process. Solution: Extract custom information from documents AI Builder model. Does the solution meet the goal?
Options
- AYes
- BNo
How the community answered
(27 responses)- A93% (25)
- B7% (2)
Explanation
The 'Extract custom information from documents' AI Builder model (custom entity extraction) is specifically designed to be trained on your own documents to recognize and extract custom-defined fields - such as vendor name, contact details, pricing, and quote terms. Once trained on sample vendor quotes, it can reliably extract the required structured data from incoming emails. This output can then be stored directly in Dataverse via a cloud flow, fully meeting the stated goal.
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