Exam Code: AI-901-JPN
Exam Name: Microsoft Azure AI Fundamentals (AI-901日本語版)
Updated: Nov 10, 2026
Q & A: 127 Questions and Answers
AI-901日本語 Free Demo download
Certification objectives can change, so current preparation matters in 2026. PassTorrent reviews and updates its AI-901日本語 practice questions for Microsoft Azure AI Fundamentals (AI-901日本語版), and every purchase includes 365 days of free updates.
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals |
| Exam Number: | AI-900 |
| Certificate Validity Period: | 1 year (renewable via free online assessment on Microsoft Learn) |
| Real Exam Qty: | 40-60 |
| Exam Format: | Multiple select, Scenario-based, Drag and drop, Multiple choice, Match the service to use case |
| Exam Price: | USD 99 |
| Related Certifications: | Microsoft Certified: Azure AI Fundamentals |
| Exam Duration: | 45-60 |
| Available Languages: | Italian, Russian, English, French, Chinese (Simplified), Spanish, Indonesian (Indonesia), Korean, Chinese (Traditional), Japanese, Arabic (Saudi Arabia), Portuguese (Brazil), German |
| Passing Score: | 700 / 1000 |
| Sample Questions: | ![]() |
| Exam Way: | Online (remote proctored via Pearson VUE) or at a Pearson VUE test center |
| Pre Condition: | No prerequisites. This exam is intended for both technical and non-technical backgrounds. Data science and software engineering experience are not required. Awareness of basic cloud concepts and client-server applications is beneficial. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-900 |
| Section | Weight | Objectives |
|---|---|---|
| Describe Artificial Intelligence workloads and considerations (15-20%) | 15-20% | - Identify guiding principles for responsible AI
|
| Describe fundamental principles of machine learning on Azure (15-20%) | 15-20% | - Describe Azure Machine Learning capabilities
|
| Describe features of computer vision workloads on Azure (15-20%) | 15-20% | - Identify Azure tools and services for computer vision tasks
|
| Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%) | 15-20% | - Identify features of common NLP workload scenarios
|
| Describe features of generative AI workloads on Azure (20-25%) | 20-25% | - Identify generative AI services and capabilities in Microsoft Azure
|
The AI-901日本語 exam leads to the Microsoft Certified: Azure AI Fundamentals certification from Microsoft. It is positioned at the Fundamental level. The exam validates the knowledge and skills expected of candidates preparing for Microsoft Azure AI Fundamentals (AI-901日本語版).
Related certifications include:
The AI-901日本語 exam includes 40-60 questions and allows 45-60. Before test day, divide the available time by the number of questions in a timed practice set to establish a steady per-question pace. If a difficult item starts consuming too much time, mark it for review and move forward instead of losing momentum. A full timed practice session can help you decide when to move on, when to return, and how much buffer to reserve for a final check.
The passing score for AI-901日本語 is 700 / 1000, and the official exam fee is USD 99. Because a retake requires paying the exam fee again, use timed practice results as a readiness check before scheduling your next attempt. If your performance remains inconsistent, continue reviewing weak domains and repeat a timed session before booking the exam.
No prerequisites. This exam is intended for both technical and non-technical backgrounds. Data science and software engineering experience are not required. Awareness of basic cloud concepts and client-server applications is beneficial.
Eligibility rules can change, so confirm the current requirements on the official exam page before registering.
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The current AI-901日本語 outline is organized into 5 top-level domains. The first listed areas include:
Review the Exam Topics section above for the complete outline and any nested subtopics.
文を正しく完成させる選択肢を選びなさい。
Correct Answer:

Explanation:
Named Entity Recognition (NER) is used to extract dates, quantities, and locations from text.
Named Entity Recognition identifies and categorizes entities in text, such as people, organizations, locations, dates, times, quantities, currencies, and other structured information.
The other options are incorrect:
Key phrase extraction identifies important phrases or main topics.
Language detection identifies the language of the text.
Sentiment Analysis identifies positive, negative, neutral, or mixed sentiment.
あなたはAIベースの融資承認システムを開発しました。テスト中に、そのシステムに性別による偏りがあることが判明しました。
これは、責任あるAIのどの原則に違反しているのでしょうか?
Correct Answer: D 🗳️
Explanation: Only visible for PassTorrent members. You can sign-up / login (it's free).
ユーザーからの問い合わせに対し、詳細な説明文で回答するAIソリューションを構築する必要があります。
どのタイプのAIモデルを使用すべきでしょうか?
Correct Answer: B 🗳️
文を正しく完成させる選択肢を選んでください。
Correct Answer:

Explanation:
Azure Text Analytics client library
The completed sentence is:
To develop an application that analyzes text by using Azure Language in Foundry Tools, use the Azure Text Analytics client library package.
Azure Language text analysis features include sentiment analysis, key phrase extraction, named entity recognition, language detection, and other text analytics capabilities. These are accessed by using the Azure Text Analytics client library .
The highlighted Azure Speech SDK option is incorrect because it is used for speech workloads, such as speech recognition and speech synthesis, not text analysis.
Microsoft Foundry ポータルで、Agent1 という名前のエージェントを作成し、そのエージェントをデプロイします。
Agent1をテストするために、Foundryのプレイグラウンドを開きます。
遊び場では、テストが実際の行動を反映していることを保証するために、どのような方法が用いられていますか?
Correct Answer: A 🗳️
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