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Microsoft AI-900 Practice Test - Questions Answers, Page 11

Question list

List of questions

Question 101

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HOTSPOT 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 102

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You are processing photos of runners in a race. You need to read the numbers on the runners’ shirts to identity the runners in the photos. Which type of computer vision should you use?

Question 103

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DRAG DROP 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 mac

Question 104

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You use drones to identify where weeds grow between rows of crops to send an instruction for the removal of the weeds. This is an example of which type of computer vision?

Question 105

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In which two scenarios can you use a speech synthesis solution? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

Question 106

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HOTSPOT 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 107

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DRAG DROP You need to scan the news for articles about your customers and alert employees when there is a negative article. Positive articles must be added to a press book. Which natural language

Question 108

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You are building a knowledge base by using QnA Maker. Which file format can you use to populate the knowledge base?

Question 109

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In which scenario should you use key phrase extraction?

Question 110

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You have insurance claim reports that are stored as text. You need to extract key terms from the reports to generate summaries. Which type of AI workload should you use?

Question 101

HOTSPOT

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 102

You are processing photos of runners in a race.

You need to read the numbers on the runners’ shirts to identity the runners in the photos.

Which type of computer vision should you use?

facial recognition

optical character recognition (OCR)

semantic segmentation

object detection

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Question 103

DRAG DROP

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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Question 104

You use drones to identify where weeds grow between rows of crops to send an instruction for the removal of the weeds.

This is an example of which type of computer vision?

object detection

optical character recognition (OCR)

scene segmentation

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Question 105

In which two scenarios can you use a speech synthesis solution? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

an automated voice that reads back a credit card number entered into a telephone by using a numeric keypad

generating live captions for a news broadcast

extracting key phrases from the audio recording of a meeting

an AI character in a computer game that speaks audibly to a player

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Question 106

HOTSPOT

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 107

DRAG DROP

You need to scan the news for articles about your customers and alert employees when there is a negative article. Positive articles must be added to a press book.

Which natural language processing tasks should you use to complete the process? To answer, drag the appropriate tasks to the correct locations. Each task may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

NOTE: Each correct selection is worth one point.