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

AI-900日本語 real exams

Exam Code: AI-900J

Exam Name: Microsoft Azure AI Fundamentals (AI-900日本語版)

Updated: Oct 16, 2026

Q & A: 336 Questions and Answers

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Preparation Process

Microsoft offers a wide range of resources to help you prepare for your certification exam. The first step in the preparation process is to go through the topics in detail. This will enable you to understand the specific areas that are covered in the test. With this understanding, you can start to get the materials that will provide more knowledge on the objectives. Thus, Microsoft comes with two training options to help the candidates develop the required skills. These are free online training and instructor-led training.

  • Practice Test: As a future examinee, you also have access to the official practice test to evaluate your understanding of the exam topics before taking the actual test. The link to this training tool can be found on the Microsoft website.
  • Instructor-Led Training: The Microsoft Azure AI Fundamentals course is designed to help you gain the required skills to pass the exam and obtain the certification. It introduces the learners to the fundamental concepts of AI and the services available in Microsoft Azure that are useful in creating AI solutions. This training is delivered by the certified partners and its details can be found on the Microsoft website. It is important to mention that this course is designed to be combined with other online materials that are available on the Microsoft Learning platform.
  • Free Online Training: The individuals can explore five free training tutorials that are available on the official exam webpage. They have a series of modules that focus on the specific domains of the test. These training tutorials are recommended for those candidates who are comfortable with the self-paced study. The topics of these manuals include the following options:
    • Get Started with AI on Azure;
    • Create No-Code Predictive Models with Azure ML;
    • Explore NLP;
    • Explore Computer Vision on Microsoft Azure;
    • Explore Conversational Artificial Intelligence.

    The students can find the details of these learning paths on the official website.

The Microsoft AI-900: Microsoft Azure AI Fundamentals exam is aimed at those professionals who want to demonstrate their knowledge of basic Machine Learning (ML) and Artificial Intelligence (AI) workloads. The test evaluates their understanding of how to implement both ML and AI on Azure. The candidates who pass this exam are eligible for the Microsoft Certified: Azure AI Fundamentals certification.

Requisites of Microsoft AI-900 Exam

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:

  • AZ-200: Azure Fundamentals Assessment
  • AZ-100: Fundamentals of Azure

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

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Microsoft AI-900日本語 Exam Syllabus Topics:

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

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

Question #1

自然言語処理ワークロードの例として挙げられる 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示します。
注記; 正しく選択するたびに 1 ポイントの価値があります。

  • A. ナレッジベースを使用してユーザーの質問に対話的に回答する Web サイト
  • B. 自動でヘッドランプを自動車に挿入する組立ライン機械
  • C. 「今日の天気はどうですか?」などの質問に応答する家庭内のスマート デバイス。
  • D. 機械の温度を監視し、温度が特定のしきい値に達したときにファンをオンにします。
Reveal Solution  Discussion  0

Correct Answer: A,C  🗳️

Explanation: Only visible for ITexamReview members. You can sign-up / login (it's free).

Question #2

Microsoft の責任ある AI 原則の例は何ですか?

  • A. AI システムは安全でプライバシーを尊重する必要があります。
  • B. AI システムはパブリック ドメインである必要があります。
  • C. AI システムは開発者の利益を保護する必要があります。
  • D. AI システムは個人情報にアクセスできるようにする必要があります。
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #3

文を完成させるには、回答領域で適切なオプションを選択します。

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Accelerate your business processes by automating information extraction. Form Recognizer applies advanced machine learning to accurately extract text, key/value pairs, and tables from documents. With just a few samples, Form Recognizer tailors its understanding to your documents, both on-premises and in the cloud.
Turn forms into usable data at a fraction of the time and cost, so you can focus more time acting on the information rather than compiling it.
Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/form-recognizer/

Question #4

電子商取引ビジネス用の会話型言語理解モデルを構築しました。
発話がモデルの意図した範囲外にある場合に、それをモデルが検出できるようにする必要があります。
何をすべきでしょうか?

  • A. 新しいモデルを作成します。
  • B. None インテントに発話を追加します。
  • C. モデルをエクスポートします。
  • D. 事前に構築されたタスク エンティティを作成します。
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #5

電話番号の識別にはどのタイプの自然言語処理 (NLP) エンティティが使用されますか?

  • A. 正規表現
  • B. リスト
  • C. 任意のパターン
  • D. 機械学習
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for ITexamReview members. You can sign-up / login (it's free).

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