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microsoft AI_102

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Exam contains 333 questions

Page 10 of 56
Question 55 🔥

DRAG DROP -You are developing a call to the Face API. The call must find similar faces from an existing list named employeefaces. The employeefaces list contains 60,000 images.How should you complete the body of the HTTP request? To answer, drag the appropriate values to the correct targets. Each value 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.Select and Place:

Question 56 🔥

DRAG DROP -You are developing a photo application that will find photos of a person based on a sample image by using the Face API.You need to create a POST request to find the photos.How should you complete the request? To answer, drag the appropriate values to the correct targets. Each value 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.Select and Place:

Question 57 🔥

HOTSPOT -You develop a test method to verify the results retrieved from a call to the Computer Vision API. The call is used to analyze the existence of company logos in images. The call returns a collection of brands named brands.You have the following code segment.For each of the following statements, select Yes if the statement is true. Otherwise, select No.NOTE: Each correct selection is worth one point.Hot Area:

Question 58 🔥

HOTSPOT -You develop an application that uses the Face API.You need to add multiple images to a person group.How should you complete the code? To answer, select the appropriate options in the answer area.NOTE: Each correct selection is worth one point.Hot Area:

Question 59 🔥

Your company uses an Azure Cognitive Services solution to detect faces in uploaded images. The method to detect the faces uses the following code.You discover that the solution frequently fails to detect faces in blurred images and in images that contain sideways faces.You need to increase the likelihood that the solution can detect faces in blurred images and images that contain sideways faces.What should you do?

Which database solution meets these requirements?
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Question 60 🔥

DRAG DROP -You have 100 chatbots that each has its own Language Understanding model.Frequently, you must add the same phrases to each model.You need to programmatically update the Language Understanding models to include the new phrases.How should you complete the code? To answer, drag the appropriate values to the correct targets. Each value 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.Select and Place:

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