Microsoft Azure AI Fundamentals
Practice questions and flashcards for the AI-901: Microsoft Azure AI Fundamentals exam (replacing AI-900). Covers AI workloads and responsible AI, machine learning fundamentals, computer vision and NLP with Azure AI services, and generative AI including Azure OpenAI, Copilot, prompt engineering, and RAG concepts.
A company is building a fraud detection model in Amazon SageMaker where only 0.5% of transactions are fraudulent. The model achieves 99.5% accuracy but fails to detect most actual fraud cases. What fundamental data issue is causing this misleading metric?
| Domain | Weight | Items | Coverage |
|---|---|---|---|
Describe AI workloads and considerations | 20% | 75 items | |
Describe fundamental principles of machine learning | 25% | 75 items | |
Describe features of computer vision and NLP | 25% | 75 items | |
Describe features of generative AI | 30% | 74 items |
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