AI-900 Dumps

AI-900 Free Practice Test

Microsoft AI-900: Microsoft Azure AI Fundamentals (beta)

QUESTION 41

HOTSPOT - (Topic 1)
To complete the sentence, select the appropriate option in the answer area.
AI-900 dumps exhibit
Solution:
AI-900 dumps exhibit

Does this meet the goal?

Correct Answer: A

QUESTION 42

HOTSPOT - (Topic 5)
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE; Each correct selection is worth one point.
AI-900 dumps exhibit
Solution:
AI-900 dumps exhibit

Does this meet the goal?

Correct Answer: A

QUESTION 43

HOTSPOT - (Topic 3)
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
AI-900 dumps exhibit
Solution:
Box 1: Yes
Custom Vision functionality can be divided into two features. Image classification applies one or more labels to an image. Object detection is similar, but it also returns the coordinates in the image where the applied label(s) can be found.
Box 2: Yes
The Custom Vision service uses a machine learning algorithm to analyze images. You, the developer, submit groups of images that feature and lack the characteristics in question. You label the images yourself at the time of submission. Then, the algorithm trains to this data and calculates its own accuracy by testing itself on those same images.
Box 3: No
Custom Vision service can be used only on graphic files.

Does this meet the goal?

Correct Answer: A

QUESTION 44

- (Topic 5)
Which two scenarios are examples of a conversational AI workload? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

Correct Answer: AB

QUESTION 45

- (Topic 3)
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?

Correct Answer: B
Optical character recognition (OCR) allows you to extract printed or handwritten text from images and documents.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview-ocr