Microsoft Azure AI Fundamentals AI-900
Microsoft Azure AI Fundamentals practice test questions, and flashcards
Microsoft Azure AI Fundamentals practice test questions, and flashcards
Realistic and configurable practice exams from our bank of 250 questions, test you are ready for the real thing.
Each of our 250 Microsoft Azure AI Fundamentals AI-900 questions, one by one, at your own pace.
Acronyms, terms, and other helpful info in matching mode, flashcard mode and more.
| Questions | The exam consists of 40 to 60 multiple-choice questions. |
| Length | You have 45 minutes to complete the exam. |
| Passing Score | The passing score is 700 out of 1000. |
| Recommended Experience | No prior experience is required; the exam is designed for individuals with both technical and non-technical backgrounds. Familiarity with basic cloud concepts and Azure services is beneficial. |
| Languages | The AI-900 exam is offered in multiple languages, including English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Russian, Indonesian (Indonesia), Arabic (Saudi Arabia), Chinese (Traditional), and Italian. |
| Tier | Objective |
|---|---|
| 1 | Describe Artificial Intelligence Workloads and Considerations |
| 2 | Describe Fundamental Principles of Machine Learning on Azure |
| 3 | Describe Features of Computer Vision Workloads on Azure |
| 4 | Describe Features of Natural Language Processing (NLP) Workloads on Azure |
| 5 | Describe features of generative AI workloads on Azure |
The Microsoft Certified: Azure AI Fundamentals (AI-900) exam is an entry-level certification designed for individuals seeking foundational knowledge of artificial intelligence (AI) and machine learning (ML) concepts and their applications within the Microsoft Azure platform. The AI-900 exam covers essential AI workloads such as anomaly detection, computer vision, and natural language processing, and it emphasizes responsible AI principles, including fairness, transparency, and accountability. While no deep technical background is required, a basic familiarity with technology and Azureās services can be helpful, making this certification accessible to a wide audience, from business decision-makers to early-career technologists.
The exam covers several major domains, starting with AI workloads and considerations, which introduces candidates to various types of AI solutions and ethical principles. Next, it delves into machine learning fundamentals, explaining core concepts like data features, model training, and types of machine learning such as classification and clustering. The exam also emphasizes specific Azure tools for implementing AI solutions, such as Azure Machine Learning Studio for visual model-building, the Computer Vision service for image analysis, and Azure Bot Service for conversational AI. Additionally, candidates learn how natural language processing (NLP) tasks, including sentiment analysis, translation, and speech recognition, are managed within Azureās language and speech services.
Achieving the AI-900 certification demonstrates a solid understanding of AI and ML basics and prepares candidates for more advanced Azure certifications in data science or AI engineering. Itās an excellent credential for those exploring how AI solutions can be effectively used within the Azure ecosystem, whether to aid business decision-making or to set a foundation for future roles in AI and data analytics.
