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Microsoft Certified: Azure AI Fundamentals Microsoft Azure AI Fundamentals

Microsoft Azure AI Fundamentals

Last Update Jun 3, 2026
Total Questions : 326

To help you prepare for the AI-900 Microsoft exam, we are offering free AI-900 Microsoft exam questions. All you need to do is sign up, provide your details, and prepare with the free AI-900 practice questions. Once you have done that, you will have access to the entire pool of Microsoft Azure AI Fundamentals AI-900 test questions which will help you better prepare for the exam. Additionally, you can also find a range of Microsoft Azure AI Fundamentals resources online to help you better understand the topics covered on the exam, such as Microsoft Azure AI Fundamentals AI-900 video tutorials, blogs, study guides, and more. Additionally, you can also practice with realistic Microsoft AI-900 exam simulations and get feedback on your progress. Finally, you can also share your progress with friends and family and get encouragement and support from them.

Questions 2

You need to predict the population size of a specific species of animal in an area.

Which Azure Machine Learning type should you use?

Options:

A.  

clustering

B.  

regression

C.  

classification

Discussion 0
Reeva
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Nina May 22, 2026
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Ari
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Ocean May 10, 2026
They're exam preparation materials that are designed to help you prepare for various certification exams. They provide you with up-to-date and accurate information to help you pass your exams.
Aliza
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Jakub May 21, 2026
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Questions 3

You have an app that identifies the coordinates of a product in an image of a supermarket shelf.

Which service does the app use?

Options:

A.  

Azure Al Custom Vision object detection

B.  

Azure Al Computer Vision Read

C.  

Azure Al Computer Vision optical character recognition (OCR)

D.  

Azure Al Custom Vision classification

Discussion 0
Questions 4

You need to create a clustering model and evaluate the model by using Azure Machine Learning designer. What should you do?

Options:

A.  

Split the original dataset into a dataset for features and a dataset for labels. Use the features dataset for evaluation.

B.  

Split the original dataset into a dataset for training and a dataset for testing. Use the training dataset for evaluation.

C.  

Split the original dataset into a dataset for training and a dataset for testing. Use the testing dataset for evaluation.

D.  

Use the original dataset for training and evaluation.

Discussion 0
Questions 5

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

Questions 5

Options:

Discussion 0
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