Last Updated: Oct 07, 2026
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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals (AI-900) Exam |
| Exam Number: | AI-900 |
| Available Languages: | Japanese, French, English, Portuguese (Brazil), Chinese (Traditional), German, Spanish, Chinese (Simplified), Korean |
| Certificate Validity Period: | Does not expire (Fundamentals certification) |
| Real Exam Qty: | 40-60 |
| Exam Price: | Approx. 99 USD (varies by region) |
| Passing Score: | 700 (out of 1000) |
| Related Certifications: | Microsoft Azure Data Fundamentals (DP-900) Microsoft Azure Fundamentals (AZ-900) |
| Exam Format: | Drag and drop, Multiple choice, Case study (limited), Multiple response |
| Exam Duration: | 60 minutes |
| Recommended Training: | Azure AI Fundamentals Course Microsoft Learn - AI-900 Learning Path |
| Exam Registration: | Schedule exam via Pearson VUE Microsoft Certification Portal |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored exam or in-person test center |
| Pre Condition: | No formal prerequisites required. Basic understanding of cloud computing and AI concepts is recommended. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-fundamentals/ |
| Section | Weight | Objectives |
|---|---|---|
| Describe Artificial Intelligence workloads and considerations | 20-25% | - Identify features of common AI workloads
|
| Describe features of computer vision workloads on Azure | 15-20% | - Azure AI Vision services
|
| Describe features of generative AI workloads on Azure | 10-15% | - Azure OpenAI and generative services
|
| Describe features of natural language processing (NLP) workloads on Azure | 15-20% | - Text analysis
|
| Describe fundamental principles of machine learning on Azure | 25-30% | - Azure Machine Learning basics
|
The Microsoft Azure AI Fundamentals (AI-901日本語版) blueprint is structured around these main domains:
Additional domains complete the official outline — our question bank spans the full set.
According to the latest exam information, the AI-901日本語 exam contains 40-60 questions with a 60 minutes-minute limit. Since performance on the day matters as much as preparation, timed practice under these exact conditions is time well spent.
Microsoft points candidates toward these official training options:
Formal training builds the framework; consistent question practice fills it in.
Upon successful payment, our system automatically emails the product to your mailbox — typically within about a minute — with an instant download link on screen. If nothing arrives within two hours, check your spam folder and contact support; our after-sale staff is online 24 hours a day, 7 days a week. Updates are free for 365 days: our first-class experts watch the exam closely, compile every new key point and the latest question types into each new version, and send it to you automatically — even after you pass, you keep access to the field's newest information. A 50% renewal discount follows at the end of the period.
Currently, the AI-901日本語 exam's passing score is 700 (out of 1000) and the registration fee is Approx. 99 USD (varies by region). Microsoft owns both figures and may update them, so verify on the official site when you book.
By treating preparation and performance as one campaign. The AI-901日本語 bank is rebuilt around every exam change — new key points and the latest question types compiled by our first-class experts, with expert-verified answers across the Microsoft Azure AI Fundamentals (AI-901日本語版) objectives — so what you practice matches what you will face. Behind the content stands our service idea: customers' benefits first. Professionally trained after-sale staff answer 24/7, updates stay free for 365 days, and a written refund policy protects your investment throughout.
Microsoft specifies these prerequisites for the Microsoft Azure AI Fundamentals (AI-901日本語版): No formal prerequisites required. Basic understanding of cloud computing and AI concepts is recommended..
Verify the current requirements on the official certification page.
Registration goes through the official channels listed here:
Book a test center or online slot that fits your schedule — and leave yourself room to prepare calmly.
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文を正しく完成させる選択肢を選びなさい。
Correct Answer:

Explanation:
The correct answer is endpoint of the model . After a vision-enabled GPT model is deployed in Microsoft Foundry, the deployment exposes an inference endpoint that applications can call programmatically. The application sends requests containing text and, when required, image content to the deployed model through the appropriate chat-completions API endpoint. Microsoft's documentation explicitly states that to use vision- enabled models, you call the Chat Completion API against a supported model that has been deployed.
The Foundry playground is primarily an interactive environment for testing prompts, model behavior, and multimodal inputs during development. It is not the production interface that an external application uses to submit inference requests. An evaluation pipeline is used to assess model or application quality against defined metrics and datasets, while a training dataset is associated with model training or fine-tuning rather than serving inference traffic.
Microsoft Foundry provides the endpoint and required authentication information after deployment.
Applications then invoke that endpoint using an SDK or REST API, passing text and image inputs as part of the request payload.
文を正しく完成させる選択肢を選びなさい。
Correct Answer:

Explanation:
The Model catalog is used for comparing and deploying a wide range of models for generative AI development.
Microsoft states that the model catalog in Foundry portal is the hub for discovering and using a wide range of models to build generative AI applications. Microsoft training also states that the model catalog is used to compare models by benchmark metrics and deploy models to endpoints.
あなたは自社におけるAI活用のベストプラクティスを検討しています。
各タスクは、マイクロソフトの責任あるAI原則のどれに該当するでしょうか?回答するには、適切な原則を正しいタスクにドラッグしてください。各タスクは、1回、複数回、またはまったく使用されない場合があります。コンテンツを表示するには、ペイン間の分割バーをドラッグするか、スクロールする必要がある場合があります。
注:正解1つにつき1ポイントが加算されます。
Correct Answer:

Explanation:
* Fairness
* Privacy and security
* Transparency
* Reliability and safety
Comprehensive and Detailed Explanation with all Azure AI documents : =
Evaluating model outputs to ensure that decisions are NOT biased against specific demographic groups:
Fairness
Microsoft's responsible AI principle of fairness means AI systems should treat people fairly and avoid unfair bias across demographic groups.
Encrypting sensitive customer data and restricting system access to authorized personnel: Privacy and security The privacy and security principle requires AI systems to protect personal and sensitive data and prevent unauthorized access.
Informing users when they are interacting with an AI system and explaining the system's capabilities and limitations: Transparency The transparency principle requires that people understand when they are interacting with AI and understand the system's purpose, capabilities, and limitations.
Testing AI systems under different conditions to reduce unexpected failures: Reliability and safety The reliability and safety principle means AI systems should operate reliably and safely, including through testing and validation under expected and unexpected conditions.
Foundry Tools の Azure Content Understanding を使用して請求書からフィールドを抽出する Python アプリケーションがあります。アナリスト向けに PDF を送信します。
アプリケーションは結果を取得するために何をするべきでしょうか?
Correct Answer: B 🗳️
Explanation: Only visible for ActualTorrent members. You can sign-up / login (it's free).
Azure Vision in Foundry Toolsサービスを使用すると、どのような操作を実行できますか?
Correct Answer: A 🗳️
Explanation: Only visible for ActualTorrent members. You can sign-up / login (it's free).
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