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AI-900 Exam Dumps - Microsoft Azure AI Fundamentals

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Question # 89

Which statement is an example of a Microsoft responsible AJ principle?

A.

Al systems must use only publicly available data.

B.

Al systems must protect the interests of the company

C.

Al systems must be understandable.

D.

Al systems must keep personal details public

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Question # 90

You have an app that identifies birds in images. The app performs the following tasks:

* Identifies the location of the birds in the image

* Identifies the species of the birds in the image

Which type of computer vision does each task use? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

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Question # 91

What should you do to reduce the number of false positives produced by a machine learning classification model?

A.

Include test data in the training data.

B.

Increase the number of training iterations.

C.

Modify the threshold value in favor of false positives.

D.

Modify the threshold value in favor of false negatives.

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Question # 92

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

NOTE: Each correct selection is worth one point.

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Question # 93

Which two actions can you perform by using the Azure OpenAI DALL-E model? Each correct answer presents a complete solution.

NOTE: Each correct answer is worth one point.

A.

Create images.

B.

Use optical character recognition (OCR).

C.

Detect objects in images.

D.

Modify images.

E.

Generate captions for images.

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Question # 94

Match the Azure Al service to the appropriate actions.

To answer, drag the appropriate service from the column on the left to its action on the right Each service may be used once, more than once, or not at all.

NOTE: Each correct match is worth one point.

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Question # 95

You need to predict the animal population of an area.

Which Azure Machine Learning type should you use?

A.

clustering

B.

classification

C.

regression

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Question # 96

Match the types of machine learning to the appropriate scenarios.

To answer, drag the appropriate machine learning type from the column on the left to its scenario on the right. Each machine learning type may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

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