AI-900 Dumps

AI-900 Free Practice Test

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

QUESTION 31

- (Topic 5)
You have an Azure Machine Learning pipeline that contains a Split Data module. The Split Data module outputs to a Train Model module and a Score Model module. What is the function of the Split Data module?

Correct Answer: A

QUESTION 32

- (Topic 3)
You need to develop a mobile app for employees to scan and store their expenses while travelling.
Which type of computer vision should you use?

Correct Answer: D
Azure's Computer Vision API includes Optical Character Recognition (OCR) capabilities that extract printed or handwritten text from images. You can extract text from images, such as photos of license plates or containers with serial numbers, as well as from documents - invoices, bills, financial reports, articles, and more.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept- recognizing-text

QUESTION 33

HOTSPOT - (Topic 5)
Select the answer that correctly completes the sentence.
AI-900 dumps exhibit
Solution:
AI-900 dumps exhibit

Does this meet the goal?

Correct Answer: A

QUESTION 34

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 35

- (Topic 1)
When you design an AI system to assess whether loans should be approved, the factors used to make the decision should be explainable.
This is an example of which Microsoft guiding principle for responsible AI?

Correct Answer: A
Achieving transparency helps the team to understand the data and algorithms used to train the model, what transformation logic was applied to the data, the final model generated, and its associated assets. This information offers insights about how the model was created, which allows it to be reproduced in a transparent way.
Reference:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best- practices/trusted-ai
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/strategy/responsible-ai