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Microsoft Azure AI Fundamentals Sample Questions (Q64-Q69):

NEW QUESTION # 64
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Reference:
https://azure.microsoft.com/en-gb/services/cognitive-services/speech-to-text/#features Speech recognition means Speech to Text. In the above example as a person speaks the words are converted into text of the same language. Hence Speech to Text also called Speech recognition is the right answer.
Speech recognition - the ability to detect and interpret spoken input.
Speech synthesis - the ability to generate spoken output.
https://docs.microsoft.com/en-us/learn/modules/recognize-synthesize-speech/1-introduction

 

NEW QUESTION # 65
To complete the sentence, select the appropriate option in the answer area.
Computer vision capabilities can be Deployed to....................

Answer:

Explanation:
Integrate a facial recognition feature into an app.

 

NEW QUESTION # 66
What is a use case for classification?

• A. predicting whether someone uses a bicycle to travel to work based on the distance from home to work
• B. predicting how many cups of coffee a person will drink based on how many hours the person slept the previous night.
• C. predicting how many minutes it will take someone to run a race based on past race times
• D. analyzing the contents of images and grouping images that have similar colors

Answer: D

Explanation:
Classification is a machine learning method that uses data to determine the category, type, or class of an item or row of data.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/linear-regression
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/machine-learning-initialize- model-clustering

 

NEW QUESTION # 67
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/Translator/translator-info-overview
https://docs.microsoft.com/en-us/legal/cognitive-services/speech-service/speech-to-text/transparency-note

 

NEW QUESTION # 68
Match the machine learning models to the appropriate deceptions.
To answer, drag the appropriate model from the column on the left to its description on the right Each model may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.

Answer:

Explanation:

 

NEW QUESTION # 69
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