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