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The AI-900 certification exam is part of Microsoft's larger certification program, which offers a range of credentials for professionals in various technology fields. Earning this certification can help individuals stand out in the job market and demonstrate their expertise in AI and Azure.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900
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In order to take the Microsoft AI-900 exam, you must have a current Azure subscription. You also need a valid Microsoft ID. In addition, be sure to pass the following exams:
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The Microsoft Azure AI Fundamentals (AI-900日本語版) certification exam consists of 40-60 multiple choice questions that candidates must complete within 85 minutes. AI-900J exam can be taken in-person at a testing center or online from the comfort of your own home. To prepare for the exam, Microsoft offers a range of study materials, including online training courses, practice exams, and study guides. Additionally, candidates can also find third-party study materials and practice exams online.
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Features of computer vision workloads on Azure | 15–20% | - Describe capabilities of Azure Form Recognizer - Describe capabilities of Azure Computer Vision - Identify types of computer vision solutions - Describe capabilities of Azure Custom Vision - Describe capabilities of Azure Face |
| Topic 2: Features of generative AI workloads on Azure | 20–25% | - Describe responsible AI practices for generative AI - Describe use cases for generative AI - Describe generative AI concepts - Describe capabilities of Azure OpenAI Service |
| Topic 3: Artificial Intelligence workloads and considerations | 15–20% | - Describe responsible AI principles - Describe considerations for developing AI solutions - Identify types of AI workloads |
| Topic 4: Features of Natural Language Processing (NLP) workloads on Azure | 15–20% | - Describe capabilities of Azure Speech - Describe capabilities of Azure Language - Identify types of NLP solutions - Describe capabilities of Azure Translator |
| Topic 5: Fundamental principles of machine learning on Azure | 15–20% | - Describe machine learning pipelines - Describe capabilities of Azure Machine Learning - Describe automated machine learning - Describe core concepts of machine learning |
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