AI-102 · Question #29
AI-102 Question #29: Real Exam Question with Answer & Explanation
The correct answer is A: machine learned. An ML entity can be composed of smaller sub-entities, each of which can have its own properties. For example, Address could have the following structure: Address: 4567 Main Street, NY, 98052, USA Building Number: 4567 Street Name: Main Street https://docs.microsoft.com/en-us/azur
Question
You are building a Conversational Language Understanding model for an e-commerce platform. You need to construct an entity to capture billing addresses. Which entity type should you use for the billing address?
Options
- Amachine learned
- BRegex
- CgeographyV2
- DPattern.any
- Elist
Explanation
An ML entity can be composed of smaller sub-entities, each of which can have its own properties. For example, Address could have the following structure: Address: 4567 Main Street, NY, 98052, USA Building Number: 4567 Street Name: Main Street https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-entity-types
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