Pass the Microsoft Microsoft Certified: Azure AI Fundamentals AI-900 Questions and answers with CertsForce

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Questions # 41:

A medical research project uses a large anonymized dataset of brain scan images that are categorized into predefined brain haemorrhage types.

You need to use machine learning to support early detection of the different brain haemorrhage types in the images before the images are reviewed by a person.

This is an example of which type of machine learning?

Options:

A.

clustering


B.

regression


C.

classification


Expert Solution
Questions # 42:

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

Question # 42


Expert Solution
Questions # 43:

You need to predict the income range of a given customer by using the following dataset.

Question # 43

Which two fields should you use as features? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

Options:

A.

Education Level


B.

Last Name


C.

Age


D.

Income Range


E.

First Name


Expert Solution
Questions # 44:

You need to predict the sea level in meters for the next 10 years.

Which type of machine learning should you use?

Options:

A.

classification


B.

regression


C.

clustering


Expert Solution
Questions # 45:

To complete the sentence, select the appropriate option in the answer area.

Question # 45


Expert Solution
Questions # 46:

To complete the sentence, select the appropriate option in the answer area.

Question # 46


Expert Solution
Questions # 47:

Which type of machine learning should you use to identify groups of people who have similar purchasing habits?

Options:

A.

classification


B.

regression


C.

clustering


Expert Solution
Questions # 48:

Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?

Options:

A.

Azure Al Custom Vision


B.

Azure Al Document Intelligence


C.

Azure Al Language


D.

Azure Al face


Expert Solution
Questions # 49:

What are two metrics that you can use to evaluate a regression model? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

Options:

A.

coefficient of determination (R2)


B.

F1 score


C.

root mean squared error (RMSE)


D.

area under curve (AUC)


E.

balanced accuracy


Expert Solution
Questions # 50:

You have the following dataset.

Question # 50

You plan to use the dataset to train a model that will predict the house price categories of houses.

What are Household Income and House Price Category? To answer, select the appropriate option in the answer area.

NOTE: Each correct selection is worth one point.

Question # 50


Expert Solution
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