AI-900: Azure AI Fundamentals Exam Questions And Answers Verified 100% Correct

AI-900: Azure AI Fundamentals Exam Questions And Answers Verified 100% Correct Monitoring for sudden increases in quantity of failed sign-in attempts is an _________ worklaod. - ANSWER anomaly detection Identifying objects in landscape images is a _______ workload. - ANSWER computer vision Which type of AI workload would you use to track activity in an automated production line and identify failures? - ANSWER anomaly detection Which type of AI workload would you use for a racing car telemetry system that uses sensors to proactively warn engineers about potential mechanical failures before they happen? - ANSWER anomaly detection A machine learning based technique that analyzes data over time and identifies unusual changes. - ANSWER In Azure, the ________ service provides an API that developers can use to create anomaly detection solutions. - ANSWER Anomaly Detector A subset of computer vision that involves training an ML model to classify images based on their contents. - ANSWER image classification Which type of computer vision would you use in a traffic monitoring solution to classify images based on the type of vehicle they contain, such as taxis, buses, cyclists, etc.. - ANSWER image classification A subset of computer vision that involves training ML models to classify individual objects within an image, and identify their location with a bounding box. - ANSWER Object detection Which type of computer vision would you use for a traffic monitoring solution to identify the location of different classes of vehicle? - ANSWER object detection A subset of computer vision that involves classifying the individual pixels in an image according to the object to which they belong? - ANSWER semantic segmentation Which type of computer vision would you use for a traffic monitoring solution that overlays images with "mask" layers to highlight different vehicles using specific colors? - ANSWER semantic segmentation Which two AI workload features are part of the computer vision service? A. sentiment analysis B. entity recognition C. optical character recognition (OCR) D. Key phrase extraction E. Spatial Analysis - ANSWER C. optical character recognition (OCR) E. Spatial Analysis For which scenario should you use anomaly detection? A. classifying images of plants B. detecting credit card fraud C. detecting medical issues in scanned images. D. searching for information contained in a large collection of documents. - ANSWER B. detecting credit card fraud. List 5 types of AI workloads. - ANSWER 1. Machine learning 2. Anomaly detection 3. Computer vision 4. Natural Language Processing 5. Knowledge mining (Workload) This is often the foundation for an AI system, and is the way we "teach" a computer model to make predictions and draw conclusions from data. - ANSWER Machine learning Type of AI workload that provides the ability to automatically dtect errors or unusual activity in a system. - ANSWER Anomaly detection Type of AI workload that provides the ability of software to interpret the world visually through cameras, video, and images. - ANSWER Type of AI workload that provides the capability for a computer to interpret written or spoken language, and respond in kind. - ANSWER Natural Language Processing Type of AI workload that provides the ability to extract information from large volumes of often unstructured data to create a searchable knowledge store. - ANSWER Knowledge mining Azure service that is a cloud-based platform for creating, managing, and publishing machine learning models. - ANSWER Azure Machine Learning A feature of Azure ML that enables non-experts to quickly create an effective machine learning model from data. - ANSWER Automated machine learning A feature of Azure ML that provides a graphical interface enabling no-code development of machine learning solutions. - ANSWER Azure Machine Learning Designer A feature of Azure ML that is a cloud-based data storage and compute resources that professional data scientists can use to run data experiments code at scale. - ANSWER Data and compute management A feature of Azure ML that data scientists, software engineers, and IT operations professionals can use to dfe - ANSWER