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AI-900 Exam Dumps - Microsoft Azure AI Fundamentals

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Question # 25

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 # 26

Select the answer that correctly completes the sentence.

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Question # 27

Select the answer that correctly completes the sentence.

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Question # 28

Which machine learning technique can be used for anomaly detection?

A.

A machine learning technique that understands written and spoken language.

B.

A machine learning technique that classifies objects based on user supplied images.

C.

A machine learning technique that analyzes data over time and identifies unusual changes.

D.

A machine learning technique that classifies images based on their contents.

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Question # 29

You have an Internet of Things (loT) device that monitors engine temperature.

The device generates an alert if the engine temperature deviates from expected norms.

Which type of Al workload does the device represent?

A.

natural language processing (NLP)

B.

computer vision

C.

anomaly detection

D.

knowledge mining

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Question # 30

What is an example of a regression model in machine learning?

A.

dividing the student data in a dataset based on the age of the students and their educational achievements

B.

identifying subtypes of spam email by examining a large collection of emails that were flagged by users

C.

predicting the sale price of a house based on historical data, the size of the house, and the number of bedrooms in the house

D.

identifying population counts of endangered animals by analyzing images

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Question # 31

Match the computer vision service to the appropriate Al workload.

To answer, drag the appropriate service from the column on the left to its workload 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 # 32

Which action can be performed by using the Azure Al Vision service?

A.

identifying breeds of animals in live video streams

B.

extracting key phrases from documents

C.

extracting data from handwritten letters

D.

creating thumbnails for training videos

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