AI-900: Microsoft Azure AI Fundamentals Practice Exam.

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The AI-900: Microsoft Azure AI Fundamentals Practice Exam is a comprehensive and professional tool designed to help individuals prepare for the Microsoft Azure AI Fundamentals certification exam. This practice exam is specifically tailored to provide a realistic and accurate representation of the actual certification exam, allowing individuals to gain a better understanding of the exam format, structure, and content. The AI-900: Microsoft Azure AI Fundamentals Practice Exam is designed to cover all the key topics and concepts related to Microsoft Azure AI Fundamentals, including machine learning, cognitive services, natural language processing, and computer vision. The practice exam includes a wide range of questions and scenarios that are designed to test an individual’s knowledge and understanding of these key topics, ensuring that they are fully prepared for the certification exam. The AI-900: Microsoft Azure AI Fundamentals Practice Exam is an ideal tool for individuals who are looking to enhance their knowledge and skills in the field of AI and machine learning, and who are seeking to obtain the Microsoft Azure AI Fundamentals certification. With its comprehensive coverage, realistic exam format, and accurate representation of the actual certification exam, this practice exam is an essential resource for anyone looking to succeed in this exciting and rapidly growing field. AI-900: Microsoft Azure AI Fundamentals Exam details: Exam Name: Microsoft Certified – Azure AI Fundamentals Exam Code: AI-900Exam Price:  $99 (USD)Number of Questions: Maximum of 40-60 questions, Type of Questions: Multiple Choice Questions (single and multiple response), drag and drops and performance-based, Length of Test: 60 Minutes. The exam is available in English and Japanese languages. Passing Score: 700 / 1000Languages: English, Japanese, Korean, and Simplified Chinese Schedule Exam: Pearson VUEAI-900: Microsoft Azure AI Fundamentals Certification Exams skill questions: Skill Measurement Exam Topics:-Describe Artificial Intelligence workloads and considerations (20-25%)Describe fundamental principles of machine learning on Azure (25-30%)Describe features of computer vision workloads on Azure (15-20%)Describe features of Natural Language Processing (NLP) workloads on Azure (25-30%)##) Describe Artificial Intelligence workloads and considerations (20-25%)Identify features of common AI workloads Identify features of anomaly detection workloads Identify computer vision workloads Identify natural language processing workloads Identify knowledge mining workloads Identify guiding principles for responsible AIDescribe considerations for fairness in an AI solution Describe considerations for reliability and safety in an AI solution Describe considerations for privacy and security in an AI solution Describe considerations for inclusiveness in an AI solution Describe considerations for transparency in an AI solution Describe considerations for accountability in an AI solution##) Describe fundamental principles of machine learning on Azure (25-30%)Identify common machine learning types Identify regression machine learning scenarios Identify classification machine learning scenarios Identify clustering machine learning scenarios Describe core machine learning concepts Identify features and labels in a dataset for machine learning Describe how training and validation datasets are used in machine learning Describe capabilities of visual tools in Azure Machine Learning Studio Automated machine learning Azure Machine Learning designer##) Describe features of computer vision workloads on Azure (15-20%)Identify common types of computer vision solution Identify features of image classification solutions Identify features of object detection solutions Identify features of optical character recognition solutions Identify features of facial detection and facial analysis solutions Identify Azure tools and services for computer vision tasks Identify capabilities of the Computer Vision service Identify capabilities of the Custom Vision service Identify capabilities of the Face service Identify capabilities of the Form Recognizer service##) Describe features of Natural Language Processing (NLP) workloads on Azure (25-30%)Identify features of common NLP Workload Scenarios Identify features and uses for key phrase extraction Identify features and uses for entity recognition Identify features and uses for sentiment analysis Identify features and uses for language modeling Identify features and uses for speech recognition and synthesis Identify features and uses for translation Identify Azure tools and services for NLP workloads Identify capabilities of the Language service Identify capabilities of the Speech service Identify capabilities of the Translator service Identify considerations for conversational AI solutions on Azure Identify features and uses for bots Identify capabilities of Power Virtual Agents and the Azure Bot service Benefits of the Certification: The AI-900: Microsoft Azure AI Fundamentals certification is a highly sought-after credential that validates an individual’s knowledge and skills in the field of artificial intelligence. This certification is designed to equip professionals with a fundamental understanding of AI concepts and their practical applications in the Microsoft Azure environment. The benefits of obtaining the AI-900 certification are numerous. Firstly, it demonstrates a professional’s commitment to staying up-to-date with the latest advancements in AI technology. This certification is recognized globally and is highly valued by employers, making it a valuable addition to any resume. Secondly, the AI-900 certification provides individuals with a comprehensive understanding of AI concepts and their practical applications in the Microsoft Azure environment. This knowledge can be applied to a wide range of industries, including healthcare, finance, and manufacturing, among others. Thirdly, the AI-900 certification provides individuals with the skills and knowledge necessary to design and implement AI solutions using Microsoft Azure services. This includes the ability to create intelligent bots, machine learning models, and cognitive services, among others. Overall, the AI-900: Microsoft Azure AI Fundamentals certification is an excellent investment for professionals looking to enhance their knowledge and skills in the field of artificial intelligence. It provides individuals with a competitive edge in the job market and opens up new career opportunities in a rapidly growing industry. Features of Practice Tests: Premium quality questions + Detailed solution explanations Reference links to the official GCP docs & other reliable sources Course materials based on the latest syllabus Gain knowledge, skills, & confidence Practice full-length exams in a single sitting Practice tricky questions Learn exam time management + Pressure handling Active course instructor to help, guide, and solve your doubts within 24-48 Hrs Lifetime course access to help you re-certify in the future Mobile-compatible course for your convenience – Just download the Udemy mobile app and get started You can skip a question to come back to at the end of the exam. You can also use “Mark for Review” to come back to questions you are unsure about before you submit your test. If you want to finish the test and see your results immediately, press the stop button.