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

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830 Students Passed

91% Average Score

95% Same Questions
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Questions # 91:

Select the answer that correctly completes the sentence.

Question # 91

Options:

Questions # 92:

You need to generate images based on user prompts. Which Azure OpenAI model should you use?

Options:

A.

GPT-4

B.

DALL-E

C.

GPT-3

D.

Whisper

Questions # 93:

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 # 93

Options:

Questions # 94:

Extracting relationships between data from large volumes of unstructured data is an example of which type of Al workload?

Options:

A.

computer vision

B.

knowledge mining

C.

natural language processing (NLP)

D.

anomaly detection

Questions # 95:

Match the tasks to the appropriate machine learning models.

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

NOTE: Each correct selection is worth one point.

Question # 95

Options:

Questions # 96:

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 # 96

Options:

Questions # 97:

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 # 97

Options:

Questions # 98:

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

Question # 98

Options:

Questions # 99:

Select the answer that correctly completes the sentence.

Question # 99

Options:

Questions # 100:

You are processing photos of runners in a race.

You need to read the numbers on the runners' shirts to identify the runners in the photos. Which type of computer vision should you use?

Options:

A.

image classification

B.

optical character recognition (OCR)

C.

object detection

D.

facial recognition

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