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Exam AI-900 topic 1 question 229 discussion

Actual exam question from Microsoft's AI-900
Question #: 229
Topic #: 1
[All AI-900 Questions]

You are building a Language Understanding model for an e-commerce business.

You need to ensure that the model detects when utterances are outside the intended scope of the model.

What should you do?

  • A. Export the model
  • B. Add utterances to the None intent
  • C. Create a prebuilt task entity
  • D. Create a new model
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Suggested Answer: B 🗳️

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zellck
Highly Voted 1 year, 10 months ago
Selected Answer: B
B is the answer. https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/conversational-language-understanding/concepts/none-intent Every project in conversational language understanding includes a default None intent. The None intent is a required intent and can't be deleted or renamed. The intent is meant to categorize any utterances that do not belong to any of your other custom intents.
upvoted 7 times
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Castiel
Most Recent 1 year, 5 months ago
Selected Answer: B
None intent
upvoted 1 times
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Dinooka
1 year, 7 months ago
Repeated question. https://www.examtopics.com/discussions/microsoft/view/69592-exam-ai-900-topic-1-question-120-discussion/
upvoted 3 times
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redsoxfred
1 year, 10 months ago
Selected Answer: C
The appropriate AI service to extract intent from a user input like "Call me back later" would be: C. Language The Language service, specifically the Natural Language Understanding (NLU) component, is designed to extract meaning and intent from text inputs. It can analyze and understand the user's intent or purpose behind a given statement. By utilizing techniques such as intent recognition and language understanding models, the Language service can identify that the user's intent in the given input is to request a callback at a later time. Azure Cognitive Search (A) is a service focused on providing full-text search capabilities over structured and unstructured data, but it does not directly handle intent extraction from user inputs. Translator (B) is a service that facilitates language translation between different languages, which is not directly related to intent extraction. Speech (D) refers to services related to speech recognition and synthesis, focusing on converting spoken language into written text or generating speech from text. While speech recognition may be involved in processing the user input, it is not specific to intent extraction from text inputs.
upvoted 1 times
takusui
1 year, 10 months ago
I think you meant to reply to Q228.
upvoted 2 times
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PeteColag
1 year, 5 months ago
Language is not part of the choices.
upvoted 1 times
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Community vote distribution
A (35%)
C (25%)
B (20%)
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