Microsoft Azure AI Fundamentals (AI-900) - 5 Practice Exams

The Microsoft Azure AI Fundamentals (AI-900) exam certification contains the official Microsoft objectives that will provide proper knowledge to the candidates with the goal to upgrade their skills or simply to confirm their knowledge. The main objectives are the following:1.1 Identify features of common AI workloads1.2 Identify guiding principles for responsible AI2.1 Identify common machine learning techniques2.2 Describe core machine learning concepts2.3 Describe Azure Machine Learning capabilities3.1 Identify common types of computer vision solution3.2 Identify Azure tools and services for computer vision tasks4.1 Identify features of common NLP Workload Scenarios4.2 Identify Azure tools and services for NLP workloads5.1 Identify features of generative AI solutions5.2 Identify capabilities of Azure OpenAI ServiceThis practice exam includes explanations for both correct and incorrect answers, providing future candidates to learn and understand the concepts and methodologies that are appended to the Microsoft Azure AI Fundamentals (AI-900) exam objectives while going through the practice exam.Each of the 5 exams grants the learner with a time length of 60 minutes in order to respond to multiple questions. The idea is to provide candidates with extended time to learn and confirm their skills while preparing for the certification.The intent here is not a “run against the clock” training exam. It is focused on providing the proper knowledge in regards to machine learning AI on Microsoft Azure services.The following objectives are covered:- How to describe Artificial Intelligence workloads and considerations- How to describe fundamental principles of machine learning on Azure- How to describe features of computer vision workloads on Azure- How to describe features of Natural Language Processing (NLP) workloads on Azure- How to describe features of generative AI workloads on