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AI-900 Microsoft Azure AI Fundamentals Exam Questions and Answers – Page 1

The latest Microsoft AI-900 Azure AI Fundamentals certification actual real practice exam question and answer (Q&A) dumps are available free, which are helpful for you to pass the Microsoft AI-900 Azure AI Fundamentals exam and earn Microsoft AI-900 Azure AI Fundamentals certification.

Question 81

Anomaly Detection

Answer: ML based technique that analyzes data over time and identifies unusual changes. Azure has an Anomaly Detector service

Question 82

Computer Vision

Answer: enables software engineers to create intelligent solutions that extract information from images; a common task in many artificial intelligence (AI) scenarios

Question 83

Computer Vision models

Answer: Image classification, Object detection, Semantic segmentation, Image analysis, Face detection, analysis and recognition, Optical character recognition

Question 84

Image classification

Answer: trains ML model to classify images based on their contents. Ex. classification can be used in a traffic monitoring solution to classify images based on the type of vehicle they contain.

Question 85

What service do you use for image classification?

Answer: Custom Vision

Question 86

What resources can be used for custom vision?

Answer: You can use either custom vision or cognitive services

Question 87

How are custom vision models evaluated?

Answer: With precision, recall and AP

Question 88


Answer: Percentage of the class prediction made by the model that were correct. For example if the model predicted that 10 images are oranges, of which 8 were actually oranges, then recall is 80%

Question 89


Answer: percentage of class prediction that the model correctly identified. Ex. if there are 10 images of apples and the model found 7, then precision is 70%

Question 90


Answer: Average precision, an overall metric that takes into account both precision and recall

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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