Learn with Microsoft : AI-900日本語 training material for 100% pass

Updated: Oct 30, 2026

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Microsoft AI-900 Practice Test Questions, Microsoft AI-900 Exam Practice Test Questions

The individuals who passed the Microsoft AI-900 exam possess the foundational knowledge of artificial intelligence (AI) and machine learning (ML). The test is designed to evaluate the candidates’ understanding of basic AI and ML workloads as well as how to execute them on Microsoft Azure. The students can earn the Microsoft Certified: Azure AI Fundamentals certification at the end of their journey with this path.

What You Will Learn from Microsoft AI-900 Exam

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.

Microsoft AI-900日本語 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure AI Fundamentals
Exam Number:AI-900
Certificate Validity Period:Valid indefinitely
Exam Format:Multiple select, Multiple choice, Scenario-based questions
Exam Duration:45 minutes
Related Certifications:Microsoft Certified: Azure Data Fundamentals
Microsoft Certified: Azure Fundamentals
Available Languages:Chinese (Traditional), Italian, Spanish, Chinese (Simplified), French, Portuguese (Brazil), Indonesian (Indonesia), Russian, Arabic (Saudi Arabia), Korean, English, German, Japanese
Passing Score:700 (on a scale of 1–1000)
Exam Price:$99 USD
Real Exam Qty:40–60
Recommended Training:Microsoft Learn: Azure AI Fundamentals Learning Path
Instructor-led Training: AI-900 Course
Exam Registration:Pearson VUE Registration
Microsoft Certification Registration
Sample Questions:Microsoft AI-900日本語 Sample Questions
Exam Way:Online proctored or onsite testing at Pearson VUE test centers
Pre Condition:No required prerequisites; basic familiarity with cloud computing or AI concepts is recommended but not mandatory
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-900/

How much AZ-900:Microsoft Azure AI Fundamentals Exam Cost

The exam cost of Microsoft Azure AI Fundamentals is 99 USD.

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

Average Salary of AI-900: Microsoft Azure AI Fundamentals Exam Certified Professionals

The average salary of an AI-900: Microsoft Azure AI Fundamentals Exam Outlook and Modules Exam Certified Expert in:

  • India - 11,42,117 INR
  • United States - 155,000 USD
  • England - 55,900 POUNDS
  • Europe - 105,000 EURO

Microsoft AI-900日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Fundamental principles of machine learning on Azure15–20%- Describe automated machine learning
- Describe machine learning pipelines
- Describe core concepts of machine learning
- Describe capabilities of Azure Machine Learning
Topic 2: Features of Natural Language Processing (NLP) workloads on Azure15–20%- Describe capabilities of Azure Language
- Describe capabilities of Azure Translator
- Describe capabilities of Azure Speech
- Identify types of NLP solutions
Topic 3: Artificial Intelligence workloads and considerations15–20%- Identify types of AI workloads
- Describe responsible AI principles
- Describe considerations for developing AI solutions
Topic 4: Features of generative AI workloads on Azure20–25%- Describe generative AI concepts
- Describe responsible AI practices for generative AI
- Describe use cases for generative AI
- Describe capabilities of Azure OpenAI Service
Topic 5: Features of computer vision workloads on Azure15–20%- Describe capabilities of Azure Computer Vision
- Describe capabilities of Azure Face
- Identify types of computer vision solutions
- Describe capabilities of Azure Form Recognizer
- Describe capabilities of Azure Custom Vision

Microsoft Azure AI Fundamentals (AI-900日本語版) Sample Questions:

Question #1

口頭のコマンドを使用してスマートデバイスを制御する機能をユーザーに提供するAlソリューションがあります。
ソリューションが使用する2種類の自然言語処理(NLP)ワークロードはどれですか?それぞれの正解は、解決策の一部を示しています。
注:正しい選択はそれぞれ1ポイントの価値があります。

  • A. テキスト読み上げ
  • B. キーフレーズ抽出
  • C. 言語モデリング
  • D. 音声認識
  • E. 翻訳
Reveal Solution  Discussion  0

Correct Answer: C,D  🗳️

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Question #2

Form Recognizerサービスを使用できる2つのシナリオはどれですか?それぞれの正解は完全な解決策を提示します。
注:正しい選択はそれぞれ1ポイントの価値があります。

  • A. カタログで商品の画像を検索します。
  • B. フォームをフランス語から英語に翻訳します。
  • C. 領収書から小売業者を特定します。
  • D. 請求書から請求書番号を抽出します。
Reveal Solution  Discussion  0

Correct Answer: C,D  🗳️

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Question #3

機密情報を含むドキュメントの識別に使用できる Azure Cognitive Services サービスはどれですか?

  • A. フォーム認識機能
  • B. 会話による言語理解
  • C. カスタムビジョン
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #4

Webサイト用のチャットボットを開発する必要があります。チャットボットは、次のドキュメントの情報に基づいてユーザーの質問に答える必要があります
* MicrosoftWordドキュメントの製品トラブルシューティングガイド
* Webページのよくある質問(FAQ)リスト
ドキュメントを処理するためにどのサービスを使用する必要がありますか?

  • A. QnAメーカー
  • B. 言語を要求しない
  • C. Azureボットサービス
  • D. テキスト分析
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #5

あなたは、保険の見積もりを自動的に生成するシステムを設計しています。
Microsoft の責任ある AL 原則を適切な要件に適合させます。
回答するには、左側の列から適切な原則を右側の要件にドラッグします。各原則は 1 回だけ使用することも、複数回使用することも、まったく使用しないこともできます。
注: 正しく一致するたびに 1 ポイントの価値があります。

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Microsoft's Responsible AI principles are the foundation for developing and deploying ethical and trustworthy AI systems. The six key principles are Fairness, Reliability and Safety, Privacy and Security, Inclusiveness, Transparency, and Accountability. Each principle guides specific practices for ensuring AI systems operate responsibly in real-world applications like automated insurance quoting systems.
* Transparency - This principle ensures that the AI's decisions can be understood and explained.
Recording the decision-making process and enabling staff to trace how a quote was generated aligns with transparency. It allows stakeholders to interpret the reasoning behind model outputs, ensuring that the AI behaves predictably and ethically.
* Privacy and Security - This principle focuses on protecting personal data and ensuring that sensitive information is handled responsibly. Limiting access to customer data only to authorized personnel maintains compliance with privacy laws (like GDPR) and safeguards against misuse. Microsoft emphasizes that AI systems should maintain strict control over data visibility and integrity.
* Inclusiveness - This principle ensures that AI systems are accessible to all users, including people with disabilities. By supporting screen readers and assistive technologies, the system ensures equal access to information and services for every customer. Inclusiveness prevents discrimination and promotes accessibility, both of which are central to Microsoft's Responsible AI strategy.
Thus, the correct mapping of principles is:
* Decision process # Transparency
* Personal information visibility # Privacy and Security
* Accessibility via screen readers # Inclusiveness.

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