Creating Language Understanding Solutions

When building a Language Understanding application, what is the phrase called that the user might enter?

• Sentence

• Snippet

• Utterance

• Intent

What are the three entity types?

• Machine learned, blob, AI

• List, blob, RegEx

• Machine learned, list, prebuilt

• List, array, tree

The Language Understanding service can be deployed in which of the following containers?

• Local Docker host

• Azure Container Instance

• Azure Docker Container

• Azure Kubernetes Service

You want to get only the most likely intent for your natural language query. Which parameter should you use?

• kind

• topIntent

• query

• result

You want to filter reviews in your app to know how many people like or dislike a business. What feature would you use?

• Sentiment analysis

• Key phrase detection

• Entity recognition

• Conversational language understanding

When labeling your data to train a model, what are your datasets and how are they split?

How can you use patterns to differentiate similar utterances?

Why would you want to deploy a Language Understanding app in a container?

What benefit does training a model with the Language Understanding service mean practically speaking?

What intent must all models include, and what is it used for?