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Updated: Jul 31, 2026
No. of Questions: 336 Questions & Answers with Testing Engine
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The Need for Microsoft AI-900 Exam
The technologies that are tested on Microsoft AI-900 exam are necessary to develop intelligent operations based on cloud computing. Audience for this certification exam is individuals who work as computer programmers, developers, system administrators and project managers. Built for high-volume, high-speed web applications that use Azure, this Examines the skills required to develop intelligent cloud solutions. Smarter IT environments are the goal of this exam. Single sign-on for Azure, is an exam objective. Microsoft AI-900 exam dumps helps to make it easier for students to get this certification. Outline the business value of the exam. The importance of having this certification. Identify the technologies covered on Microsoft AI-900 exam. Gain a better understanding of the skills you'll need to develop intelligent cloud solutions.
Incredible opportunities are associated with this certification. Background on Azure and its products, services, networks, and the scalability of its computing infrastructure. Background of cloud computing in general. Automatically configure Azure virtual machines. Implement and configure SQL Server Integration Services (SSIS), Visual Studio Team Services (VSTS) and other Microsoft technologies. Predict the effects of each of the possible outcomes of the solution design. Led you to the final test. Ability to perform automated deployment of Azure services.
Workers who take this exam should have experience in the IT industry and should understand the architecture and business requirements of Azure. Leave no stone unturned. Personalized study plan for self-paced learning. Tests your knowledge in the whole Cloud Computing path from Azure to Office 365.
Describe NLP Workloads Features on Azure (15-20%)
This domain contains the following details that you need to learn about:
- Identify Azure services & tools for Natural Language Processing Workloads – This topic is created to equip you with the ability to identify various capabilities, such as Speech service, Text Analytics service, Translator Text service, and Language Understanding service.
- Identify the features of basic NLP (Natural Language Processing) Workload Scenarios – The individuals should be able to identify various uses and features of various components, for example, keyphrase extraction, sentiment analysis, entity recognition, translation, language modeling, and speech recognition & synthesis.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900
Microsoft AI-900日本語 Exam Overview:
| Certification Vendor: | Microsoft |
| Exam Name: | Microsoft Azure AI Fundamentals |
| Exam Number: | AI-900 |
| Available Languages: | English, Japanese, Chinese (Simplified), Korean, Spanish, French, German, Portuguese (Brazil), Indonesian |
| Related Certifications: | Microsoft Certified: Azure AI Fundamentals |
| Passing Score: | 700/1000 |
| Real Exam Qty: | 40-60 |
| Exam Duration: | 45-60 |
| Certificate Validity Period: | No expiration (certification does not expire) |
| Exam Format: | Single-choice, Multiple-choice, True/False, Drag and drop, Sequence ordering |
| Exam Price: | USD 99.00 |
| Sample Questions: | Microsoft AI-900日本語 Sample Questions |
| Exam Way: | Online proctored exam or in-person testing center (Pearson VUE) |
| Pre Condition: | No formal prerequisites required. Basic knowledge of cloud computing concepts is recommended but not mandatory. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/certifications/exams/ai-900/ |
Certification Topics of Microsoft AI-900 Exam
Our Microsoft AI-900 exam dumps covers the following objectives of Microsoft AI-900 Exam.
- Describe features of conversational AI workloads on Azure (15-20%)
- Describe AI workloads and considerations (15-20%)
- Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
- Describe fundamental principles of machine learning on Azure (30-35%)
- Describe features of computer vision workloads on Azure (15-20%)
Microsoft AI-900日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Describe AI workloads and considerations | 15-20% | - Identify guiding principles for responsible AI - Identify features of common AI workloads |
| Describe features of computer vision workloads on Azure | 15-20% | - Describe Azure capabilities for computer vision - Identify Azure AI services for computer vision - Identify common computer vision tasks |
| Describe features of Natural Language Processing (NLP) workloads on Azure | 15-20% | - Identify common NLP tasks - Describe Azure capabilities for NLP - Identify Azure AI services for NLP |
| Describe fundamental principles of machine learning on Azure | 30-35% | - Identify common machine learning tasks - Describe core machine learning concepts - Describe features of no-code automated ML - Describe Azure Machine Learning capabilities |
| Describe features of Generative AI workloads on Azure | 15-20% | - Identify responsible AI considerations for generative AI - Describe generative AI concepts - Describe Azure OpenAI Service capabilities |
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