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Exam AI-102 topic 3 question 21 discussion

Actual exam question from Microsoft's AI-102
Question #: 20
Topic #: 3
[All AI-102 Questions]

DRAG DROP -
You are building a Language Understanding model for purchasing tickets.
You have the following utterance for an intent named PurchaseAndSendTickets.
Purchase [2 audit business] tickets to [Paris] [next Monday] and send tickets to [[email protected]]
You need to select the entity types. The solution must use built-in entity types to minimize training data whenever possible.
Which entity type should you use for each label? To answer, drag the appropriate entity types to the correct labels. Each entity type may be used once, more than once, or not at all.
You may need to drag the split bar between panes or scroll to view content.
Select and Place:

Show Suggested Answer Hide Answer
Suggested Answer:
Box 1: GeographyV2 -
The prebuilt geographyV2 entity detects places. Because this entity is already trained, you do not need to add example utterances containing GeographyV2 to the application intents.

Box 2: Email -
Email prebuilt entity for a LUIS app: Email extraction includes the entire email address from an utterance. Because this entity is already trained, you do not need to add example utterances containing email to the application intents.

Box 3: Machine learned -
The machine-learning entity is the preferred entity for building LUIS applications.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-reference-prebuilt-geographyv2 https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-reference-prebuilt-email https://docs.microsoft.com/en-us/azure/cognitive-services/luis/reference-entity-machine-learned-entity

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Pixelmate
Highly Voted 1 year ago
THIS WAS ON EXAM 28/06
upvoted 11 times
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rdemontis
Highly Voted 8 months, 1 week ago
correct answer
upvoted 7 times
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nanaw770
Most Recent 1 month, 2 weeks ago
Paris: GeographyV2 [email protected]: Email 2 audit business: Machine learned
upvoted 2 times
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evangelist
5 months, 2 weeks ago
The answer is correct
upvoted 3 times
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zellck
1 year ago
1. GeographyV2 2. Email 3. Machine learned https://learn.microsoft.com/en-us/azure/cognitive-services/luis/luis-reference-prebuilt-geographyv2?tabs=V3 The prebuilt geographyV2 entity detects places. Because this entity is already trained, you do not need to add example utterances containing GeographyV2 to the application intents. https://learn.microsoft.com/en-us/azure/cognitive-services/luis/luis-reference-prebuilt-email?tabs=V3 Email extraction includes the entire email address from an utterance. Because this entity is already trained, you do not need to add example utterances containing email to the application intents.
upvoted 5 times
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Eltooth
1 year, 11 months ago
Answer is correct : Geography v2 : https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-reference-prebuilt-geographyv2?tabs=V3 Email : https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-reference-prebuilt-email?tabs=V3-verbose Machine Learned : https://docs.microsoft.com/en-us/azure/cognitive-services/luis/reference-entity-machine-learned-entity?tabs=V3 https://docs.microsoft.com/en-us/azure/cognitive-services/luis/concepts/entities
upvoted 4 times
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sdokmak
2 years ago
Correct. https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-reference-prebuilt-email?tabs=V3
upvoted 2 times
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