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Outline the business value of the exam. The importance of having this certification. Identify the technologies covered on Microsoft AI-900 exam. Tasks you will perform every day. Skill sets that are not available anywhere else. Potential for career advancement throughout the organization. People who take this exam should have experience in the IT industry and should understand the architecture and business requirements of Azure. Jump start your career in Azure. Stuck when you are in the process of testing. Challenging questions and high level of difficulty. Mistakes while taking the exam or during the preparing for it. Microsoft AI-900 exam dumps help to make it easier for students. Beginners can also use it as a refresher course. Reviews of the best service providers. Track the progress of the exam.

Details on Azure services and differences among them. Documents that are critical to the success of the exam. Environment to take the exam in. Sufficient understanding of Azure and its services. High level of difficulty and many challenging questions. Sit for the exam to prove your skills. Affiliate marketing and earn money for yourself. Explanations that demonstrate your understanding. Receive a valuable document to help you pass the exam. Reliability of the exam. Desktop, laptop, and mobile devices. Subscribe to receive the latest study materials. Ensure you are comfortable with the exam environment. Formats suited for different learning styles.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900

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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
  • Type of Questions: This test format is multiple choice
  • Number of Questions: 100 to 120 questions(Since Microsoft does not publish this information, the number of exam questions may change without notice)
  • Length of Examination: 50 mins
  • Passing Score: 70%

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Microsoft AI-900 中文 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Describe fundamental principles of machine learning on Azure30-35%- Describe Azure Machine Learning capabilities
- Describe core machine learning concepts
- Describe features of no-code automated ML
- Identify common machine learning tasks
Topic 2: Describe features of computer vision workloads on Azure15-20%- Identify common computer vision tasks
- Describe Azure capabilities for computer vision
- Identify Azure AI services for computer vision
Topic 3: Describe features of Generative AI workloads on Azure15-20%- Describe Azure OpenAI Service capabilities
- Identify responsible AI considerations for generative AI
- Describe generative AI concepts
Topic 4: Describe features of Natural Language Processing (NLP) workloads on Azure15-20%- Describe Azure capabilities for NLP
- Identify common NLP tasks
- Identify Azure AI services for NLP
Topic 5: Describe AI workloads and considerations15-20%- Identify guiding principles for responsible AI
- Identify features of common AI workloads

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