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Exam AI-100 topic 1 question 41 discussion

Actual exam question from Microsoft's AI-100

Question #: 41
Topic #: 1

Your company plans to monitor twitter hashtags, and then to build a graph of connected people and places that contains the associated sentiment.
The monitored hashtags use several languages, but the graph will be displayed in English.
You need to recommend the required Azure Cognitive Services endpoints for the planned graph.
Which Cognitive Services endpoints should you recommend?

A. Language Detection, Content Moderator, and Key Phrase Extraction
B. Translator Text, Content Moderator, and Key Phrase Extraction
C. Language Detection, Sentiment Analysis, and Key Phase Extraction
D. Translator Text, Sentiment Analysis, and Named Entity Recognition

Show Suggested Answer

Suggested Answer: C 🗳️
Sentiment analysis, which is also called opinion mining, uses social media analytics tools to determine attitudes toward a product or idea.
Translator Text: Translate text in real time across more than 60 languages, powered by the latest innovations in machine translation.
The Key Phrase Extraction skill evaluates unstructured text, and for each record, returns a list of key phrases. This skill uses the machine learning models provided by Text Analytics in Cognitive Services.
This capability is useful if you need to quickly identify the main talking points in the record. For example, given input text "The food was delicious and there were wonderful staff", the service returns "food" and "wonderful staff".
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-entity-linking https://docs.microsoft.com/en-us/azure/search/cognitive-search-skill-keyphrases

by Dupa999 at Aug. 18, 2020, 6:46 p.m.

Comments

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bego310

Highly Voted 4 years, 9 months ago

It is definitely Translator Text, Sentiment Analysis, and Named Entity Recognition. Translator Text can show the results in English. Sentiment Analysis is determines the sentiments of the tweets. Named Entity Recognition identifies the people mentioned in the tweets.

upvoted 20 times

Dagi_King

4 years, 6 months ago

I agree

upvoted 2 times

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renuka1234

4 years, 4 months ago

I agree

upvoted 1 times

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Dupa999

Highly Voted 4 years, 10 months ago

Why Language Detection and why not Translator Text? The graph must be built in english and Language Detection doesn't perform any translation.

upvoted 6 times

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rveney

Most Recent 2 years ago

recommended Cognitive Services endpoints for the planned graph are: D. Translator Text, Sentiment Analysis, and Named Entity Recognition.

upvoted 1 times

rveney

2 years ago

C. Language Detection, Sentiment Analysis, and Key Phrase Extraction Translator Text and Named Entity Recognition are not necessary in this scenario as the graph is planned to be displayed in English. Therefore, the translation of different languages is not required, and Named Entity Recognition, which identifies named entities like people, organizations, and locations, is not explicitly mentioned as a requirement.

upvoted 1 times

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dijaa

3 years, 10 months ago

wrong, it's D

upvoted 1 times

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berserkguts

4 years, 1 month ago

this was in the AI-100 exam i took today, May 31

upvoted 1 times

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Romesh

4 years, 2 months ago

ANY ANSWER WITH translator text and Sentiment analysis is correct, i do not see any mention for the use of key phrase extraction or entity recognition

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Cornholioz

4 years, 4 months ago

Named Entity Recognition is the key differentiator to choose D (besides the other 2 right services). Because NER is the ability to identify different entities in text and categorize them into pre-defined classes or types such as: person, location, event, product, and organization. https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-entity-linking?tabs=version-3-preview#named-entity-recognition-ner Hence D.

upvoted 3 times

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robotcop

4 years, 6 months ago

Answer is D: Translator Text, Sentiment Analysis, Named Entity Recognition. NER : https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-entity-linking?tabs=version-3-preview Key Phase Extraction: https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-keyword-extraction

upvoted 4 times

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j1p1

4 years, 9 months ago

Why not Named Entity Recognition. Seems D as correct

upvoted 4 times

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