You have an AI solution that provides users with the ability to control smart devices by using verbal commands. Which two types of natural language processing (NLP) workloads does the solution use? Ea

The correct answer is B. key phrase extraction C. speech-to-text. Key phrase extraction is one of the features offered by Azure Cognitive Service for Language, a collection of machine learning and AI algorithms in the cloud for developing intelligent applications that involve written language. Use key phrase extraction to quickly identify the m

Submitted by devops_kid· Mar 30, 2026Describe features of Natural Language Processing (NLP) workloads on Azure

Question

You have an AI solution that provides users with the ability to control smart devices by using verbal commands. Which two types of natural language processing (NLP) workloads does the solution use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

Options

Atext-to-speech
Bkey phrase extraction
Cspeech-to-text
Dlanguage modeling
Etranslation

How the community answered

(25 responses)

A
4% (1)
B
84% (21)
D
8% (2)
E
4% (1)

Explanation

Key phrase extraction is one of the features offered by Azure Cognitive Service for Language, a collection of machine learning and AI algorithms in the cloud for developing intelligent applications that involve written language. Use key phrase extraction to quickly identify the main concepts in text. For example, in the text "The food was delicious and the staff were wonderful.", key phrase extraction will return the main topics: "food" and "wonderful staff". https://docs.microsoft.com/en-us/azure/cognitive-services/language-service/key-phrase- extraction/overview

Topics

#Speech-to-text#Key phrase extraction#Natural language processing

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