Microsoft AI-102 Exam - Topic 6 Question 93 Discussion

Actual exam question for Microsoft's AI-102 exam

Question #: 93
Topic #: 6

[All AI-102 Questions]

You are examining the Text Analytics output of an application.

The text analyzed is: "Our tour guide took us up the Space Needle during our trip to Seattle last week."

The response contains the data shown in the following table.

Which Text Analytics API is used to analyze the text?

ASentiment Analysis

BNamed Entity Recognition

CEntity Linking

DKey Phrase Extraction

Show Suggested Answer

Suggested Answer: B

by Fannie at Nov 23, 2025, 08:45 AM

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Noel

3 months ago

Sentiment isn't really the focus here, I agree with B.

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Cristen

3 months ago

The mention of "Space Needle" makes me lean towards B.

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Janella

3 months ago

D) Key Phrase Extraction could work too.

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Dino

3 months ago

C) Entity Linking seems too specific for this.

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Elza

3 months ago

I feel like A) Sentiment Analysis fits better.

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Stephanie

4 months ago

I think it's B) Named Entity Recognition.

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Gayla

4 months ago

Surprised it’s not just about feelings!

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Chery

4 months ago

Wait, are we sure it’s not Sentiment Analysis?

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Shawnta

4 months ago

Totally agree, it identifies the Space Needle!

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Alyce

5 months ago

I think it's Named Entity Recognition.

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Leslee

5 months ago

Haha, this question is a piece of cake! I bet the AI model could solve it in a nanosecond.

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Tori

5 months ago

A) Sentiment Analysis? Really? This is clearly about identifying entities, not analyzing sentiment.

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Pearlie

5 months ago

Hmm, I'm not sure. This looks like a tricky one. Maybe I should have paid more attention in class!

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Lenna

5 months ago

D) Key Phrase Extraction could also be a valid answer, as the output includes the key phrase "tour guide".

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Lonna

6 months ago

I feel like it could be Entity Linking, but I'm not confident. I need to review the differences between these APIs again.

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Orville

6 months ago

Could it be Key Phrase Extraction? I recall a similar question where we had to identify main ideas from a text.

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Isaac

6 months ago

Hmm, I'm not totally sure about this. The text mentions a tour guide and a landmark, so Key Phrase Extraction could also be a possibility. I'll have to weigh the options carefully before answering.

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Haley

6 months ago

I'm feeling pretty confident about this one. The table shows the entities extracted, so it has to be using the Named Entity Recognition API. I'm going with option B.

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Lorrie

6 months ago

I'm not entirely sure, but I remember practicing with a question that focused on sentiment analysis. This doesn't seem to be about feelings though.

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Elmer

6 months ago

Okay, let me break this down. The text talks about a trip to Seattle, so the entities extracted are likely related to that location. I'm leaning towards Named Entity Recognition as the best answer.

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Paola

7 months ago

I think this might be about Named Entity Recognition since it mentions specific places like the Space Needle and Seattle.

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Devorah

7 months ago

Key Phrase Extraction could fit too, but I lean towards B.

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Matthew

7 months ago

B) Named Entity Recognition seems to be the correct answer here, as the output shows the recognition of the named entity "Space Needle" in the text.

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Janna

7 months ago

I'm a bit confused here. The text mentions a "tour guide" and the "Space Needle", so I'm thinking this could also be a Key Phrase Extraction task. I'll have to think this through carefully.

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