Exam Name: Microsoft Azure AI Fundamentals (AI-900日本語版)
Certification Provider: Microsoft
Corresponding Certification: Microsoft Certified: Azure AI Fundamentals
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Updated: Oct 17, 2026
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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 |
| Exam Format: | Multiple choice, Scenario-based questions, Multiple select |
| Passing Score: | 700 (on a scale of 1–1000) |
| Available Languages: | Spanish, Russian, Chinese (Simplified), Japanese, German, Portuguese (Brazil), Indonesian (Indonesia), Korean, Chinese (Traditional), English, French, Arabic (Saudi Arabia), Italian |
| Exam Price: | $99 USD |
| Related Certifications: | Microsoft Certified: Azure Data Fundamentals Microsoft Certified: Azure Fundamentals |
| Real Exam Qty: | 40–60 |
| Exam Duration: | 45 minutes |
| Certificate Validity Period: | Valid indefinitely |
| Recommended Training: | Instructor-led Training: AI-900 Course Microsoft Learn: Azure AI Fundamentals Learning Path |
| Exam Registration: | Microsoft Certification Registration Pearson VUE Registration |
| Sample Questions: | DOWNLOAD DEMO |
| 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/ |
Microsoft AI-900日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Artificial Intelligence workloads and considerations | 15–20% | - Describe responsible AI principles - Identify types of AI workloads - Describe considerations for developing AI solutions |
| Features of computer vision workloads on Azure | 15–20% | - Identify types of computer vision solutions - Describe capabilities of Azure Face - Describe capabilities of Azure Form Recognizer - Describe capabilities of Azure Computer Vision - Describe capabilities of Azure Custom Vision |
| Features of Natural Language Processing (NLP) workloads on Azure | 15–20% | - Describe capabilities of Azure Language - Describe capabilities of Azure Translator - Describe capabilities of Azure Speech - Identify types of NLP solutions |
| Features of generative AI workloads on Azure | 20–25% | - Describe capabilities of Azure OpenAI Service - Describe generative AI concepts - Describe use cases for generative AI - Describe responsible AI practices for generative AI |
| Fundamental principles of machine learning on Azure | 15–20% | - Describe core concepts of machine learning - Describe automated machine learning - Describe machine learning pipelines - Describe capabilities of Azure Machine Learning |
Common Questions About the Microsoft Azure AI Fundamentals (AI-900日本語版) Exam
The Microsoft AI-900日本語 exam, officially titled Microsoft Azure AI Fundamentals (AI-900日本語版), is the required test for earning the Microsoft Certified: Azure AI Fundamentals certification, a credential at the Fundamental level. Passing it validates the skills Microsoft expects from certified professionals, and it can also support progress toward related credentials such as Microsoft Certified: Azure Data Fundamentals, Microsoft Certified: Azure Fundamentals.
The AI-900日本語 exam includes 40–60 questions, and you have 45 minutes to complete it. Before exam day, divide the available time by the question count so you know the pace you need to hold, and practice flagging time-consuming items for review instead of stalling on a single question. Timed sessions in the Prep4away test engine are the easiest way to build that rhythm before it counts.
You need 700 (on a scale of 1–1000) to pass the AI-900日本語 exam, and the official registration fee is $99 USD. Keep in mind that a failed attempt means paying that fee in full again for a retake, so avoid booking your seat on a hunch. Work through the Prep4away practice test until your scores sit comfortably above the passing requirement before you schedule the exam.
Microsoft asks candidates to meet the following requirement before registering: No required prerequisites; basic familiarity with cloud computing or AI concepts is recommended but not mandatory. Exam policies do change, so confirm the latest details on the official exam page at https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-900/ before you book.
You can book your seat through the official registration channels below:
The AI-900日本語 exam is delivered in the following format: Online proctored or onsite testing at Pearson VUE test centers.
Microsoft recommends the following official training for this exam:
A course builds the theory; practice turns it into exam-day performance. Once you finish a class, the 336 practice questions from Prep4away show you how the same knowledge appears in exam-style items.
Yes. Prep4away offers a free PDF demo of the Microsoft Azure AI Fundamentals (AI-900日本語版) practice questions, so you can judge the quality and format before purchasing. After you buy, your purchase includes 365 days of free updates; if the product expires after that period, you can extend the update service at a 50% discount from your member zone.
Every Prep4away order is covered by a 100% Money Back Guarantee. If you take the corresponding AI-900日本語 exam within 60 days of purchase and do not pass, send a scan of your exam enrollment slip together with your official Score Report PDF within two days of the exam date, and your claim will be processed within seven days. The candidate name must match the payer name, and the guarantee does not apply if you take the exam within three days of purchase, if you downloaded the product but never took the exam, or to free materials and expired orders. If you would rather have fresh material than a refund, you can exchange your purchase for two additional exam products of equal value at no cost and keep the update service on your original product. Delivery itself is instant: your download is available right after payment and a copy is emailed to you within one minute — if nothing arrives within two hours, contact our support team. You may install the software on as many computers as you need.
The Microsoft Azure AI Fundamentals (AI-900日本語版) exam is organized into 5 major domains. Some of the key domains include:
- Features of computer vision workloads on Azure, accounting for 15–20% of the exam
- Features of Natural Language Processing (NLP) workloads on Azure, accounting for 15–20% of the exam
- Features of generative AI workloads on Azure, accounting for 20–25% of the exam
Scroll up to the Exam Topics section for the complete breakdown, and use it to plan how much study time each domain deserves.
Microsoft Azure AI Fundamentals (AI-900日本語版) Sample Questions:
文を正しく完成させる答えを選択してください。
Correct Answer:
Explanation:
According to the Microsoft Azure AI Fundamentals (AI-900) official study materials and Microsoft Learn documentation on GitHub Copilot, the GitHub Copilot extension for Microsoft Visual Studio Code (VS Code) is powered by the OpenAI Codex model, a specialized descendant of the GPT (Generative Pre-trained Transformer) family of models. The OpenAI Codex model is specifically fine-tuned for programming tasks- it understands and generates code in multiple programming languages such as Python, JavaScript, C#, and more.
GitHub Copilot functions as an AI-powered coding assistant that suggests complete lines or blocks of code, helps write comments, and can even generate functions based on natural language prompts entered by the developer. When a user types a comment like "// sort a list of numbers in ascending order," Copilot uses the Codex model to understand the intent and generate an appropriate code implementation.
The integration with Visual Studio Code allows developers to work efficiently without needing to switch between documentation and their coding environment. GitHub Copilot leverages context-aware suggestions, meaning it understands the surrounding code, function definitions, and variable names to provide relevant completions.
The other options are incorrect because:
* GitHub source control manages code repositories but doesn't use AI models.
* IntelliSense is a built-in VS Code feature for code completion but doesn't rely on OpenAI models.
* Microsoft 365 Copilot uses large language models (like GPT-4) for productivity tools such as Word, Excel, and Outlook-not for code generation.
Therefore, the correct choice that uses the OpenAI Codex model in Visual Studio Code is GitHub Copilot, aligning with Microsoft's AI-900 learning objectives under "Identify common use cases for Azure OpenAI and GitHub Copilot."
文を正しく完成させる答えを選択してください。
Correct Answer:
Explanation:
According to the Microsoft Azure AI Fundamentals (AI-900) Official Study Guide and the Microsoft Learn module "Explore fundamental principles of machine learning," regression is a type of supervised machine learning used to predict continuous numeric values.
In this question, the goal is to predict how many vehicles will travel across a bridge on a given day. The predicted output (the number of vehicles) is a continuous value-meaning it can take on any numerical value depending on various factors like time, weather, or day of the week. This makes it a regression problem, as the model learns from historical numeric data to estimate a continuous outcome.
How Regression Works:
Regression models find patterns between input features (such as temperature, weekday/weekend, traffic trends) and a numerical output (number of vehicles). Common regression algorithms include linear regression, decision trees for regression, and neural network regression. In Azure Machine Learning, regression tasks are used for business scenarios such as:
* Predicting sales revenue for a future month.
* Estimating house prices based on property characteristics.
* Forecasting energy consumption or traffic flow, as in this case.
Why not the other options?
* Classification: Used for predicting discrete categories (e.g., "spam" vs. "not spam"). It does not handle continuous numeric values.
* Clustering: An unsupervised learning technique used to group data points based on similarity without predefined labels (e.g., segmenting customers into groups).
Therefore, the task of predicting the number of vehicles-a numeric, continuous value-is a regression problem.
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) official study materials and the Microsoft Learn module: "Describe features of common AI workloads", conversational AI solutions like chatbots can be created using various methods-not only through custom code. Azure provides both no- code/low-code and developer-focused approaches. For instance, users can design chatbots using Power Virtual Agents, which requires no programming knowledge, or they can use Azure Bot Service with the Bot Framework SDK for fully customized scenarios. Hence, the statement "Chatbots can only be built by using custom code" is False (No) because Azure supports multiple levels of technical involvement for building bots.
The second statement is True (Yes) because the Azure Bot Service is designed specifically to host, manage, and connect conversational bots to users across different channels. Microsoft Learn explicitly explains that the service provides integrated hosting, connection management, and telemetry for bots built using the Bot Framework or Power Virtual Agents. It acts as the foundation for deploying, scaling, and managing chatbot workloads in Azure.
The third statement is also True (Yes) because Azure Bot Service supports integration with Microsoft Teams, among many other channels such as Skype, Facebook Messenger, Slack, and web chat. Microsoft documentation states that Azure-hosted bots can communicate directly with Teams users through the Teams channel, enabling intelligent virtual assistants within the Teams environment.
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:
These answers align with the Microsoft Azure AI Fundamentals (AI-900) Official Study Guide and the Microsoft Learn module "Explore conversational AI in Microsoft Azure."
1. A webchat bot can interact with users visiting a website # Yes
This statement is true. The Azure Bot Service allows developers to create intelligent chatbots that can be integrated into a webchat interface. This enables visitors to interact with the bot directly from a website, asking questions and receiving automated responses. This is a typical use case of conversational AI, where natural language processing (NLP) is used to interpret and respond to user input conversationally.
2. Automatically generating captions for pre-recorded videos is an example of conversational AI # No This statement is false. Automatically generating captions from video content is an example of speech-to-text (speech recognition) technology, not conversational AI. While it uses AI to convert spoken words into text, it lacks the two-way interactive communication characteristic of conversational AI. This task is typically handled by the Azure AI Speech service, which transcribes spoken content.
3. A smart device in the home that responds to questions such as "What will the weather be like today?" is an example of conversational AI # Yes This statement is true. Smart home assistants that engage in dialogue with users are powered by conversational AI. These devices use speech recognition to understand spoken input, natural language understanding (NLU) to determine intent, and speech synthesis (text-to-speech) to respond audibly. This represents the full conversational AI loop, where machines communicate naturally with humans.
顧客サポートシステム向けのWebベースのAIソリューションを開発する必要があります。ユーザーは、最適なリソースや回答へと誘導するWebアプリを操作できなければなりません。
目標を達成するには、どのサービスを Web アプリと統合する必要がありますか?
- A. Azure Al Translator
- B. 顔
- C. Azure Al カスタムビジョン
- D. Azure Al 言語サービス
Correct Answer: C 🗳️
Explanation: Only visible for Prep4away members. You can sign-up / login (it's free).
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