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Exam AI-900 topic 1 question 109 discussion

Actual exam question from Microsoft's AI-900
Question #: 109
Topic #: 1
[All AI-900 Questions]

You are developing a chatbot solution in Azure.
Which service should you use to determine a user's intent?

  • A. Translator
  • B. QnA Maker
  • C. Speech
  • D. Language Understanding (LUIS)
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Suggested Answer: D 🗳️

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idioteque
Highly Voted 2 years, 6 months ago
I just took the exam today. 8/19/2022. LUIS is not even on the list of answers. It's now replaced by "Language Service". To my understanding based on the actual exam I took today. Language Service covers as a whole (LUIS, Speech recognition, Speech, Text analytics, NLP, entity recognition,). I passed the exam with score of 916/1000.
upvoted 17 times
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rdemontis
Highly Voted 1 year, 9 months ago
Selected Answer: D
correct but now LUIS has been replaced by CLU
upvoted 9 times
Bviljoen
10 months, 3 weeks ago
Conversational Language Understanding
upvoted 2 times
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tsummey
Most Recent 8 months ago
Selected Answer: D
Translator is used for translating text from one language to another. LUIS, or Language Understanding Intelligent Service, is designed to understand and interpret natural language inputs, predict overall meaning, and extract relevant information. It’s particularly useful for understanding user intent in conversational AI applications like chatbots.
upvoted 1 times
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andypham
3 years, 7 months ago
D is the correct answer as the question mentioned "intent". However, to solve the real problem with chatbot, both QnA and Luis can be considered. Quote from Azure doc: "Language Understanding (LUIS) and QnA Maker solve different issues. LUIS determines the intent of a user's text (known as an utterance), while QnA Maker determines the answer to a user's text (known as a query)."
upvoted 8 times
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YoungLam
3 years, 8 months ago
nah, its Luis. Not QnA maker, QnA makeer converts FAQ, it won't detect intent
upvoted 2 times
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bapu2020
3 years, 8 months ago
D is correct. Explanation/Reference: Language Understanding (LUIS) is a cloud-based API service that applies custom machine-learning intelligence to a user’s conversational, natural language text to predict overall meaning, and pull out relevant, detailed information. Design your LUIS model with categories of user intentions called intents. Each intent needs examples of user utterances. Each utterance can provide data that needs to be extracted with machine-learning entities. Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/luis/what-is-luis
upvoted 9 times
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naadherah
3 years, 9 months ago
I think its B
upvoted 2 times
AZ900test
3 years, 8 months ago
I think it's B as well.
upvoted 1 times
jv2120
3 years, 7 months ago
If it is static data then for chatbot we can use QnA. Here it is intent being considered so LUIS.
upvoted 1 times
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catalene
3 years, 6 months ago
Th correct answer is D (LUIS).But please explain how can you determine a user sentiment with QnA Maker?
upvoted 2 times
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