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Microsoft AI-900 Exam - Topic 2 Question 16 Discussion

Actual exam question for Microsoft's AI-900 exam
Question #: 16
Topic #: 2
[All AI-900 Questions]

You are developing a solution that uses the Text Analytics service.

You need to identify the main talking points in a collection of documents.

Which type of natural language processing should you use?

Show Suggested Answer Hide Answer
Suggested Answer: B

Broad entity extraction: Identify important concepts in text, including key

Key phrase extraction/ Broad entity extraction: Identify important concepts in text, including key phrases and named entities such as people, places, and organizations.


https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing

by Jess at May 05, 2022, 10:09 PM

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Jesus
4 months ago
Entity recognition is useful, but not for this task.
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Yoko
4 months ago
Language detection doesn’t help with talking points, right?
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Dorothy
4 months ago
Wait, isn’t sentiment analysis more about emotions?
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Nickolas
5 months ago
Totally agree, it’s all about identifying main points.
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Elinore
5 months ago
I think key phrase extraction is the way to go!
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Myong
5 months ago
I wonder if language detection could play a role, but it seems more about understanding the content rather than identifying key points.
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Lemuel
5 months ago
I'm not entirely sure, but I remember entity recognition being about identifying specific items, not general themes.
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Jacquelyne
5 months ago
I think key phrase extraction might be the right choice since we're looking for main talking points.
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Larae
5 months ago
This question feels similar to one we practiced on sentiment analysis, but that doesn't seem to fit here.
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Alyssa
5 months ago
This seems like a tricky one. I'll need to think carefully about the different options and how they might apply to Harry's situation.
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Melvin
5 months ago
I think the answer is B. The PGO file is likely where the CAL information is stored, so restoring that from backup should fix the issue.
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