Azure AI Fundamentals: Computer Vision on Microsoft Azure Competency

  • 18m
  • 18 questions
The Computer Vision on Microsoft Azure Competency benchmark measures your ability to recall and identify the common types of computer vision solutions, and Azure tools and services for computer vision tasks. A learner who scores high on this benchmark demonstrates that they have the necessary knowledge and skills to build computer vision solutions on the Azure platform.

Topics covered

  • deploy and test the model as a service
  • deploy and test the prediction capabilities of the Model
  • describe how Computer Vision identifies real world items and objects
  • describe how computer vision works and how it can be used to solve real world problems
  • describe the Azure Face Detection service and how it can be used to analyze faces
  • evaluate the results of an object detection model
  • evaluate the results of the classifier model
  • identify the different Computer Vision models available for doing image classification, object detection, and image analysis
  • process tabular data from a receipt or form using the Form Recognizer
  • recognize the features and capabilities of the Azure Computer Vision services
  • train a model to detect objects in an image
  • training a classifier to classify items in an image
  • use the Computer Vision service to analyze a face to determine age
  • use the Custom Form Recognizer model to get details from receipts and forms
  • use the Face Service to detect, recognize, and analyze faces for sentiment
  • use the Form Recognizer model to identify specific fields and datatypes on a receipt
  • use the pre-built receipt model to get details from receipts
  • use the video indexer to identify faces in videos