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.
Exam Question 81
ML based technique that analyzes data over time and identifies unusual changes. Azure has an Anomaly Detector service
Exam Question 82
enables software engineers to create intelligent solutions that extract information from images; a common task in many artificial intelligence (AI) scenarios
Exam Question 83
Computer Vision models
Image classification, Object detection, Semantic segmentation, Image analysis, Face detection, analysis and recognition, Optical character recognition
Exam Question 84
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.
Exam Question 85
What service do you use for image classification?
Exam Question 86
What resources can be used for custom vision?
You can use either custom vision or cognitive services
Exam Question 87
How are custom vision models evaluated?
With precision, recall and AP
Exam Question 88
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%
Exam Question 89
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%
Exam Question 90
Average precision, an overall metric that takes into account both precision and recall