Key Topics Covered in the AI-900 Exam
To prepare effectively for the AI-900 exam, it is essential to understand the key topics covered in the exam. The main areas of focus include:
- AI Concepts and Applications: Understanding what AI is, its applications in real-world scenarios, and the types of problems it can solve.
- Machine Learning Fundamentals: Knowledge of machine learning concepts, including supervised and unsupervised learning, data preparation, and model evaluation.
- Natural Language Processing (NLP): Familiarity with AI-900 Study Guide including text analytics and language understanding, and how they are implemented in Azure.
- Computer Vision: Understanding computer vision concepts and how Azure services can be used for image and video analysis.
- AI Ethics and Responsible AI: Awareness of the ethical considerations in AI, including fairness, accountability, transparency, and privacy.
Exam Format
The AI-900 exam consists of multiple-choice questions, drag-and-drop questions, and case study scenarios. The total number of questions can vary, and you will have 85 minutes to complete the exam. To pass, you typically need a score of 700 out of 1000. The exam can be taken online or at a testing center.
Post-Exam: What to Expect
After completing the AI-900 exam, you will receive a preliminary score report. If you pass, congratulations! You have earned your AI-900 certification. If you do not pass, review your performance feedback to identify areas for improvement. You can retake the exam after a waiting period, allowing you to strengthen your knowledge in those areas.
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