PL-500 practice question 7 of 25

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…

Choose your answer, then check it against the explanation.

Domain Deploy and manage solutions

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: Cloud flow using the Extract information from invoices Al Builder model Does the solution meet the goal?

Answer options

Correct Answer:

Explanation

The proposed solution uses the AI Builder prebuilt model for invoice processing. This model is specifically trained and optimized to extract data fields commonly found on invoices, such as 'Invoice ID', 'Due Date', and 'Amount Due'. While quotes and invoices share some similarities, the invoice model is not designed to accurately recognize and extract data specific to quotes, such as 'Quote Number' or 'Valid Until' dates. Using the wrong prebuilt model will lead to inaccurate and unreliable data extraction, failing to meet the business requirement. The appropriate tool would be a custom AI Builder document processing model, trained on the company's specific quote documents.

Why Incorrect

A. Yes: This is incorrect because the invoice processing model is purpose-built for invoices. Applying it to a different document type like quotes will not reliably extract the required information, thus the solution does not meet the goal.

References

1. Microsoft Learn, AI Builder Documentation: "Overview of the invoice processing prebuilt model". This document explicitly states, "The AI Builder invoice processing prebuilt model extracts key data from invoices...". It lists invoice-specific fields it is trained to recognize, which differ from standard quote fields. This confirms the model's specific, non-transferable purpose.

2. Microsoft Learn, AI Builder Documentation: "Overview of the document processing model". This document describes the custom model, stating, "AI Builder document processing allows you to read and save information from standard documents such as invoices or tax documents... You can build a custom document processing model tailored to your documents." This highlights that for non-standard or specific document types like quotes, a custom model is the intended solution.

3. Microsoft Learn, AI Builder Documentation: "Get started with AI Builder document processing". Under the section "When should I use a custom model?", it clarifies that custom models are for "documents that don't fall into the supported types for prebuilt models" or when you need to extract fields not covered by prebuilt models. Quotes are not a prebuilt model type, making a custom model the correct choice.

Question 7 of 25

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