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Creating Language Understanding Solutions

Authored by lusukama selemani

Other

Professional Development

Used 1+ times

Creating Language Understanding Solutions
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10 questions

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1.

MULTIPLE CHOICE QUESTION

2 mins • 2 pts

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

Sentence

Snippet

Utterance

Intent

2.

MULTIPLE CHOICE QUESTION

2 mins • 2 pts

What are the three entity types?

Machine learned, blob, AI

List, blob, RegEx

Machine learned, list, prebuilt

List, array, tree

3.

MULTIPLE SELECT QUESTION

2 mins • 3 pts

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

4.

MULTIPLE CHOICE QUESTION

2 mins • 2 pts

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

kind

topIntent

query

result

5.

MULTIPLE CHOICE QUESTION

2 mins • 2 pts

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

6.

OPEN ENDED QUESTION

3 mins • 3 pts

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

Evaluate responses using AI:

OFF

7.

OPEN ENDED QUESTION

3 mins • 3 pts

How can you use patterns to differentiate similar utterances?

Evaluate responses using AI:

OFF

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