Exam Code: AI-900J
Exam Name: Microsoft Azure AI Fundamentals (AI-900日本語版)
Updated: Oct 30, 2026
Q & A: 336 Questions and Answers
AI-900日本語 Free Demo download
Digital exams evolve constantly, and so do we: the AI-900日本語 materials are continuously refurbished and improved, with 365 days of free updates on every purchase. Through 2026 and beyond, your 336 practice questions for the Microsoft Azure AI Fundamentals (AI-900日本語版) never fall behind the live exam.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Fundamental principles of machine learning on Azure | 15–20% | - Describe automated machine learning - Describe machine learning pipelines - Describe capabilities of Azure Machine Learning - Describe core concepts of machine learning |
| Topic 2: Features of Natural Language Processing (NLP) workloads on Azure | 15–20% | - Describe capabilities of Azure Language - Describe capabilities of Azure Speech - Identify types of NLP solutions - Describe capabilities of Azure Translator |
| Topic 3: Features of computer vision workloads on Azure | 15–20% | - Describe capabilities of Azure Form Recognizer - Describe capabilities of Azure Computer Vision - Identify types of computer vision solutions - Describe capabilities of Azure Custom Vision - Describe capabilities of Azure Face |
| Topic 4: Features of generative AI workloads on Azure | 20–25% | - Describe capabilities of Azure OpenAI Service - Describe use cases for generative AI - Describe responsible AI practices for generative AI - Describe generative AI concepts |
| Topic 5: Artificial Intelligence workloads and considerations | 15–20% | - Describe responsible AI principles - Describe considerations for developing AI solutions - Identify types of AI workloads |
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No required prerequisites; basic familiarity with cloud computing or AI concepts is recommended but not mandatory
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You will answer 40–60 questions within 45 minutes on the AI-900日本語 exam. That is a deliberate pace with little slack, which is why untimed practice only gets you halfway. Use the FreePdfDump desktop or online test engine for full-length timed mocks, learn to flag-and-return instead of digging in, and arrive with a pacing rhythm you have already proven.
Registration for the Microsoft Azure AI Fundamentals (AI-900日本語版) runs through the official channels below:
One detail for scheduling: the AI-900日本語 exam is delivered Online proctored or onsite testing at Pearson VUE test centers — choose accordingly when you book.
The Microsoft Azure AI Fundamentals (AI-900日本語版) syllabus spans 5 domains, starting with Features of generative AI workloads on Azure (20–25%), Features of Natural Language Processing (NLP) workloads on Azure (15–20%), and Fundamental principles of machine learning on Azure (15–20%). The full weighted outline is in the syllabus section above — read it before you allocate a single study hour.
The AI-900日本語 exam — full name Microsoft Azure AI Fundamentals (AI-900日本語版) — is Microsoft's own measure of whether you can work with its technologies at a professional standard. Passing awards the Microsoft Certified: Azure AI Fundamentals certification, a credential at the Fundamental level. For anyone making an informed career move, that vendor-backed proof is the kind of signal that shortens interviews. It also connects to Microsoft Certified: Azure Data Fundamentals, Microsoft Certified: Azure Fundamentals as natural next steps.
Passing the AI-900日本語 exam requires 700 (on a scale of 1–1000), and official registration costs $99 USD. That fee buys one attempt only — a retake is billed again in full, no exceptions. The economical play is to rehearse first: drill 336 practice questions at FreePdfDump under timed conditions until the passing mark sits comfortably behind you, then register.
Microsoft recommends these training resources for the Microsoft Azure AI Fundamentals (AI-900日本語版):
Courses supply the knowledge; repetition under exam conditions supplies the readiness. Pair either option with 336 practice questions from FreePdfDump and your preparation covers both.
よくある質問(FAQ)ドキュメントからボットを作成するには、どのAIサービスを使用する必要がありますか?
Correct Answer: C 🗳️
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生成 AI ソリューションによって憎悪的な応答が返されるのを防ぐには、何を実装する必要がありますか?
Correct Answer: B 🗳️
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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 guide and Microsoft Learn module "Identify features of Natural Language Processing (NLP) workloads and services," the Azure Cognitive Service for Language - Question Answering capability is designed to allow applications to respond to user questions using information from a prebuilt or custom knowledge base. It relies on Natural Language Processing (NLP) to match user queries to the most relevant answers but does not directly execute queries against databases or infer user intent.
* "You can use Language Service's question answering to query an Azure SQL database." # NOThe Question Answering feature does not connect directly to or query structured databases such as Azure SQL. Instead, it retrieves answers from unstructured or semi-structured content (FAQs, manuals, documents). Querying SQL databases would require traditional database access, not a cognitive service.
* "You should use Language Service's question answering when you want a knowledge base to provide the same answer to different users who submit similar questions." # YESThis statement is correct and aligns exactly with Microsoft's official documentation. Question Answering enables organizations to create a knowledge base that can automatically answer repeated or similar customer queries using natural language understanding. For instance, two users asking "How do I reset my password?" and
"Can you help me change my password?" would receive the same predefined response.
* "Language Service's question answering can determine the intent of a user utterance." # NODetermining user intent is handled by Language Understanding (LUIS) or Conversational Language Understanding, not by Question Answering. While both belong to the Language Service, Question Answering focuses on retrieving relevant answers, whereas LUIS focuses on intent detection and entity extraction.
ウェブサイト用のチャットボットを開発する必要があります。チャットボットは、以下のドキュメントの情報に基づいてユーザーの質問に答える必要があります。
Microsoft Word文書形式の製品トラブルシューティングガイド
ウェブページ上のよくある質問(FAQ)リスト
書類処理にはどのサービスを利用すべきですか?
Correct Answer: A 🗳️
Azure OpenAI GPT-3.5 大規模言語モデル (LLM) を使用して技術的な質問に回答するチャットボットがあります。チャットボットを正確に説明している 2 つのステートメントはどれですか? それぞれの正解は完全な解決策を示します。
注: 各正解は 1 ポイントの価値があります。
Correct Answer: A,D 🗳️
Explanation: Only visible for FreePdfDump members. You can sign-up / login (it's free).
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