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Microsoft Exam PL-500 Topic 2 Question 37 Discussion

Actual exam question for Microsoft's PL-500 exam
Question #: 37
Topic #: 2
[All PL-500 Questions]

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 most relevant words and phrases from text Al Builder model.

Does the solution meet the goal?

Show Suggested Answer Hide Answer
Suggested Answer: A

Contribute your Thoughts:

Lina
1 months ago
This solution could work, but I'd want to see some test results to ensure the accuracy and reliability of the data extraction. Procurement data needs to be handled with care, so I'd want to make sure this AI model is up to the task.
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Avery
1 months ago
Haha, I can already imagine the AI model getting confused and pulling out random words like 'llama' or 'confetti' from the vendor emails. Let's hope it's a bit smarter than that!
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Latosha
3 days ago
User 1: I hope the AI model doesn't pull out random words like 'llama' or 'confetti'.
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France
2 months ago
I'm not sure if this solution will meet the goal. Relying solely on AI-based text extraction might not be reliable enough for storing critical procurement data in Dataverse. We should consider a more robust approach.
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Nicolette
23 hours ago
User4: No
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Apolonia
4 days ago
User3: Yes
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Alida
7 days ago
User2: I agree, we should consider a more robust approach.
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Nu
16 days ago
User1: I think the solution might not be reliable enough for storing critical procurement data.
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Tiara
2 months ago
This solution using the Extract most relevant words and phrases from text AI Builder model seems like a good way to automate the quote data extraction process. It should be able to handle the large volume of emails efficiently.
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Dalene
23 days ago
User 3: A) Yes
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Adolph
1 months ago
User 2: B) No
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Daisy
1 months ago
User 1: A) Yes
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Tomoko
2 months ago
I think the solution meets the goal because using the Extract most relevant words and phrases from text AI Builder model can help automate the process of collecting quotes from vendors.
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Emiko
2 months ago
B) No
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Tomoko
3 months ago
A) Yes
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