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Microsoft AI-901 Exam - Topic 2 Question 8 Discussion

You are developing a web app that processes invoices to calculate expenses.You need to extract structured fields, including nested values, from the invoices by using a defined schema.What should you use?
C) an analyzer in Azure Content Understanding in Foundry Tools
A) a transcription workflow in Azure Speech in Foundry Tools
B) an optical character recognition (OCR)-only document processing pipeline
D) an Azure AI Search service

Microsoft AI-901 Exam - Topic 2 Question 8 Discussion

Actual exam question for Microsoft's AI-901 exam
Question #: 8
Topic #: 2
[All AI-901 Questions]

You are developing a web app that processes invoices to calculate expenses.

You need to extract structured fields, including nested values, from the invoices by using a defined schema.

What should you use?

Show Suggested Answer Hide Answer
Suggested Answer: C

The requirement is to extract structured fields, including nested values, from invoices by using a defined schema. In Azure Content Understanding, an analyzer is the processing unit that defines how content is analyzed, what information is extracted, and how the output is structured, including JSON fields.

Microsoft's Content Understanding document solutions documentation states that Content Understanding uses customizable analyzers to extract essential information, fields, and relationships from documents and forms. Microsoft's quickstart also shows invoice processing with the prebuilt-invoice analyzer to extract structured data from an invoice document.

Why the other options are incorrect:

A . transcription workflow in Azure Speech is for converting audio to text, not invoice field extraction. B . OCR-only document processing can extract text but does not meet the requirement for structured fields and nested values by schema. D . Azure AI Search is for indexing and querying content, not defining invoice extraction schemas.

Therefore, the correct answer is C. an analyzer in Azure Content Understanding in Foundry Tools.


Contribute your Thoughts:

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Valentin
23 days ago
Not so sure about C. What about option B? OCR can be effective too.
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King
29 days ago
I agree, C seems right. It handles nested values well.
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Haydee
1 month ago
I think option C is the best choice. It’s designed for structured data extraction.
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Virgie
1 month ago
Not sure if C is the best, it might be overkill for simple invoices.
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Charlie
1 month ago
I'm surprised there's no mention of machine learning options here.
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Teddy
2 months ago
Wait, why not B? OCR can handle invoices too, right?
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Sharita
2 months ago
Definitely agree, C seems like the right fit!
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Skye
2 months ago
I think C is the best choice for structured data extraction.
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Nu
2 months ago
I’m a bit confused about the differences between the options. I thought Azure AI Search was more for searching rather than extracting structured data.
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Nathalie
2 months ago
I'm leaning towards option C, but I feel like I need to double-check if the OCR-only pipeline could also work for structured fields.
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Della
3 months ago
I remember practicing with a similar question, and I think the Azure Content Understanding tool was mentioned as a good option for extracting nested values.
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Portia
3 months ago
I think we might need to use something that can handle structured data extraction, but I'm not sure if it's the OCR pipeline or the analyzer.
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