Microsoft Exam AI-900 Topic 3 Question 89 Discussion

Actual exam question for Microsoft's AI-900 exam

Question #: 89
Topic #: 3

You are developing a natural language processing solution in Azure. The solution will analyze customer reviews and determine how positive or negative each review is.

This is an example of which type of natural language processing workload?

Alanguage detection

Bsentiment analysis

Ckey phrase extraction

Dentity recognition

Show Suggested Answer

Suggested Answer: B

Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.

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

by Rebbecca at Jun 16, 2025, 04:16 AM

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Norah

20 days ago

Haha, this is like the most basic NLP question ever. If you can't nail sentiment analysis, you might as well just give up on the whole field!

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Kindra

21 days ago

Hmm, I'm not so sure. Couldn't this also involve key phrase extraction to identify the main topics of the reviews? Maybe a combination of B and C would work best.

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Annabelle

25 days ago

Easy peasy, it's B) sentiment analysis. I could do this in my sleep, it's such a common NLP task these days.

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Rozella

26 days ago

I agree, sentiment analysis is the correct answer here. Determining the overall sentiment of a review is key for this type of application.

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Chandra

1 months ago

Definitely sentiment analysis. Analyzing the positivity or negativity of reviews is a classic use case for sentiment analysis in natural language processing.

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