Microsoft AI-900日本語 : Microsoft Azure AI Fundamentals (AI-900日本語版)
Exam Code: AI-900J
Exam Name: Microsoft Azure AI Fundamentals (AI-900日本語版)
Updated: Sep 19, 2026
Q & A: 336 Questions and Answers
AI-900日本語 Free Demo download
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Microsoft AI-900日本語 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals |
| Exam Number: | AI-900 |
| Available Languages: | English, Portuguese (Brazil), Spanish, Chinese (Simplified), French, German, Korean, Japanese |
| Real Exam Qty: | 40-60 |
| Exam Duration: | 85 minutes |
| Certificate Validity Period: | Does not expire (Fundamentals certification) |
| Exam Price: | USD 99 (varies by region) |
| Related Certifications: | Microsoft Azure AI Engineer Associate Microsoft Azure Data Fundamentals Microsoft Azure Fundamentals |
| Exam Format: | Drag and drop, Multiple choice, Case studies, Multiple response |
| Passing Score: | 700/1000 |
| Recommended Training: | Microsoft Learn AI-900 Learning Path Azure AI Fundamentals Practice Modules |
| Exam Registration: | Pearson VUE Exam Registration Official Microsoft Certification Page |
| Sample Questions: |  |
| Exam Way: | Online proctored exam or in-person test center |
| Pre Condition: | No formal prerequisites required; basic understanding of cloud and AI concepts recommended |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-fundamentals/ |
Microsoft AI-900日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Features of natural language processing (NLP) workloads on Azure | 30-35% | - Text analytics and language understanding
|
| Topic 2: Features of computer vision workloads on Azure | 15-20% | - Computer vision solutions
|
| Topic 3: Fundamentals of machine learning on Azure | 25-30% | - Core machine learning concepts
|
| Topic 4: Describe AI workloads and considerations | 20-25% | - Fundamentals of artificial intelligence concepts
|
What Working Candidates Ask About AI-900日本語 Prep
Microsoft specifies the following prerequisites for the Microsoft Azure AI Fundamentals (AI-900日本語版): No formal prerequisites required; basic understanding of cloud and AI concepts recommended.
Confirm the authoritative details on the official certification page before you register.
As of the latest information, the passing score for the AI-900日本語 exam is 700/1000 and the fee is USD 99 (varies by region). Microsoft sets both, so verify the current figures on the official site before scheduling.
Written and dependable. If you fail the corresponding exam within 60 days of purchase, send us a scanned copy of your enrollment slip and your official Score Report PDF within two days of the exam date; verified claims are refunded in full within seven days. Exclusions: exams taken within three days of purchase, candidate names that differ from the payer, and free or expired products. Prefer to keep preparing? Exchange your product for two others of equal value at no charge.
The Microsoft Azure AI Fundamentals (AI-900日本語版) blueprint centers on these principal domains:
- Features of computer vision workloads on Azure (15-20%)
- Describe AI workloads and considerations (20-25%)
- Features of natural language processing (NLP) workloads on Azure (30-35%)
Further domains complete the official outline, and our question bank spans every one.
By understanding the constraint first: most of our candidates are office workers, so the AI-900日本語 bank is elaborately designed for efficiency — focused content with expert-verified answers across the Microsoft Azure AI Fundamentals (AI-900日本語版) objectives, no filler. Safety is engineered in too: payment runs through Credit Card, the world's reliable payment platform, safeguarding the transaction and protecting your interests, so you can buy without misgivings. And because an electronic product cannot be touched before purchase, a free trial download of real bank content lets you see it first — with 24/7 customer service agents ready for any contingency afterward.
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According to the latest exam information, the AI-900日本語 exam includes 40-60 questions and lasts 85 minutes minutes. Practicing under the same limit builds the pacing confidence you will want on the day.
Registration goes through the official channels below:
Book your test center or online session early, and let a fixed date organize your preparation.
Microsoft Azure AI Fundamentals (AI-900日本語版) Sample Questions:
Azure Al Document Intelligence の事前構築済み領収書モデルを使用して処理できる画像の最大サイズはどれくらいですか?
- A. 100MB
- B. 10MB
- C. 50 MB
- D. 5 MB
Correct Answer: C 🗳️
デジタル写真内の有名なブランドを識別する事前構築されたソリューションを実装する必要があります。どのアズールアルセン/Tシャツを使うべきですか？
- A. コンピュータビジョン
- B. フォーム認識機能
- C. 顔
- D. カスタムビジョン
Correct Answer: A 🗳️
Explanation: Only visible for PassTorrent members. You can sign-up / login (it's free).
次の各ステートメントについて、ステートメントがtrueの場合は、[はい]を選択します。それ以外の場合は、[いいえ]を選択します。
注：正しい選択はそれぞれ1ポイントの価値があります。
Correct Answer:
Explanation:
Yes, Yes, No.
According to the Microsoft Azure AI Fundamentals (AI-900) study materials, conversational AI enables applications, websites, and digital assistants to interact with users via natural language. A chatbot is a key conversational AI workload and can be integrated into multiple channels such as web pages, Microsoft Teams, Facebook Messenger, and Cortana using Azure Bot Service and Bot Framework.
* "A restaurant can use a chatbot to answer queries through Cortana" - Yes.Azure Bot Service supports multi-channel deployment, which includes Cortana integration. This means the same bot can respond to voice or text input via Cortana, making it a valid use case for a restaurant to provide menu details, reservations, or order tracking through voice-based AI assistants.
* "A restaurant can use a chatbot to answer inquiries about business hours from a webpage" - Yes.This is a standard scenario for chatbots embedded on a company website. As per Microsoft Learn's Describe features of conversational AI module, a chatbot can be added to a website to handle FAQs such as business hours, location, or menu details, thereby improving response time and reducing repetitive human workload.
* "A restaurant can use a chatbot to automate responses to customer reviews on an external website" - No.Azure bots and other conversational AI tools cannot automatically interact with or post on external third-party platforms where the business does not control the data or API integration. Automated posting or replying to reviews on external review sites (e.g., Yelp or Google Reviews) would violate both ethical and technical boundaries of responsible AI usage outlined by Microsoft.
次の各ステートメントについて、ステートメントがtrueの場合は、[はい]を選択します。それ以外の場合は、[いいえ]を選択します。
注：正しい選択はそれぞれ1ポイントの価値があります。
Correct Answer:
Explanation:
According to the Microsoft Azure AI Fundamentals (AI-900) study guide and Azure Machine Learning documentation, Automated Machine Learning (AutoML) is a feature designed to help users build, train, and tune machine learning models automatically without requiring deep knowledge of programming or data science.
* First Statement: "Automated machine learning provides you with the ability to include custom Python scripts in a training pipeline."This is False (No). AutoML automates the model selection and tuning process but does not allow the inclusion of custom Python scripts within its workflow. Custom Python integration is supported in Azure Machine Learning designer pipelines or SDK-based training, not in AutoML.
* Second Statement: "Automated machine learning implements machine learning solutions without the need for programming experience."This is True (Yes). One of AutoML's core benefits is that it enables non-programmers to train and evaluate models by simply selecting data, choosing a target column, and letting Azure automatically test algorithms and hyperparameters. This aligns with Microsoft's AI-900 objective to democratize AI development.
* Third Statement: "Automated machine learning provides you with the ability to visually connect datasets and modules on an interactive canvas."This is False (No). That feature belongs to Azure Machine Learning Designer, not AutoML. The designer offers a drag-and-drop visual interface for connecting datasets and modules, whereas AutoML provides a wizard-driven approach focused on automation.
Azure OpenAI モデルが最近のイベントを含む正確な応答を生成するようにするには、どうすればよいでしょうか?
- A. システム メッセージを変更します。
- B. 少数ショット学習を追加します。
- C. 接地データを追加します。
- D. トレーニングデータを追加します。
Correct Answer: C 🗳️
Explanation: Only visible for PassTorrent members. You can sign-up / login (it's free).
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