Microsoft : AI-900 中文 Questions & Answers
Updated: Aug 03, 2026
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What is the duration, language, and format of AI-900: Microsoft Azure AI Fundamentals Exam
- Languages in which this exam is available in: English, Japanese, Chinese (Simplified), Korean, German, French, Spanish
- Length of Examination: 50 mins
- Passing Score: 70%
- Number of Questions: 100 to 120 questions(Since Microsoft does not publish this information, the number of exam questions may change without notice)
- Type of Questions: This test format is multiple choice
Explain Computer Vision Workloads Features on Azure (15-20%)
Here, the following skills will be measured:
- Identify the basic types of Computer Vision Solution – The candidates need to understand and be able to identify a range of features. They include image classification solutions, semantic segmentation solutions, object detection solutions, and optical attributes recognition solutions. It also covers the attributes of facial recognition, facial analysis, and facial detection solutions.
- Identify Azure services & tools for Computer Vision Projects – This section requires that the learners identify different capabilities of Computer Vision service, Face service, Customer Vision service, and Form Recognizer service.
Difficulty in Attempting AI-900: Microsoft Azure AI Fundamentals Exam
Exam difficulty is not difficult and the material available in the Microsoft Learning website is sufficient to pass the exam easily with high score. The learning method needs to be fast. Otherwise, the score will not be high. The preparation material, including pre-exam certification, are used for time management. Use the exam simulator for practice. Performance requirements are quick response time. Translation of the data is required for this purpose. Updated and reliable information about the exam is required for this purpose. Real data is used for testing and certification. Engineering requirements are varied. Shopping website is used to buy the bag for this purpose. Microsoft AI-900 exam dumps are used in the exam. Relevant terminology used in AI-900:Microsoft Azure AI Fundamentals Exam is explained below. Metrics are used for this purpose. One of the metrics is accuracy. Basic tasks are performed for this purpose. Real-time analytics is used for this purpose. The architecture is required for the Microsoft Azure AI Fundamentals Exam.
Detecting anomalies in the data can help to avoid some mistakes. The purpose is to use the machine learning algorithms to solve problems. Syllabus for the Microsoft AI-900 exam is the correct use of the data for this service. Vendor links are used for this purpose. The platform is used to get the information from the Microsoft Azure AI Fundamentals Exam. Percentage of the data is used for this purpose. Validation and test is required for this purpose. Fairness is used for this purpose. Matrix factorization is used for the training.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900
Microsoft AI-900 中文 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Features of natural language processing (NLP) workloads on Azure | 30-35% | - Text analytics and language understanding
|
| Topic 2: Describe AI workloads and considerations | 20-25% | - Fundamentals of artificial intelligence concepts
|
| Topic 3: Fundamentals of machine learning on Azure | 25-30% | - Core machine learning concepts
|
| Topic 4: Features of computer vision workloads on Azure | 15-20% | - Computer vision solutions
|
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