Microsoft AI-900 Exam - Topic 4 Question 10 Discussion

Actual exam question for Microsoft's AI-900 exam

Question #: 10
Topic #: 4

[All AI-900 Questions]

Your website has a chatbot to assist customers.

You need to detect when a customer is upset based on what the customer types in the chatbot.

Which type of AI workload should you use?

Aanomaly detection

Bsemantic segmentation

Cregression

Dnatural language processing

Show Suggested Answer

Suggested Answer: D

Natural language processing (NLP) is used for tasks such as sentiment analysis, topic detection, language detection, key phrase extraction, and document categorization.

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 Jacqueline at May 06, 2022, 06:26 PM

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Norah

4 months ago

Semantic segmentation? That seems off for this task.

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Willard

4 months ago

Wait, can a chatbot really detect emotions?

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Rikki

4 months ago

Nah, regression isn't the right fit here.

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Leatha

5 months ago

I think anomaly detection could work too.

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Antonio

5 months ago

Definitely natural language processing!

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Ricki

5 months ago

Regression seems off too; it’s usually for predicting numerical values, not analyzing text emotions.

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Stevie

5 months ago

I feel like semantic segmentation is more related to images, so that can't be right for this question.

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Gabriele

5 months ago

I'm not entirely sure, but I remember something about anomaly detection being used for identifying unusual patterns.

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Na

5 months ago

I think we might need to use natural language processing since we're dealing with customer text input.

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Ammie

5 months ago

This seems like a pretty straightforward question about the GENEX Probe and frequency locking modes. I'll need to carefully review the options to determine which one is not supported.

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Delisa

5 months ago

Okay, I've got it! The answer is D. Child datasets can be added to the root dataset to narrow down the search.

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Eugene

5 months ago

Hmm, this seems like a tricky one. I'll need to carefully review the options and think through the possible scenarios.

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