Nobody's calendar has a spare hundred hours hiding in it. GuideTorrent compresses Microsoft Azure AI Fundamentals (AI-900日本語版) preparation into AI-900日本語 practice questions, so commute-sized gaps turn into measurable progress.
Microsoft AI-900日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Features of computer vision workloads on Azure | 15–20% | - Describe capabilities of Azure Computer Vision - Describe capabilities of Azure Custom Vision - Describe capabilities of Azure Face - Identify types of computer vision solutions - Describe capabilities of Azure Form Recognizer |
| Topic 2: Features of Natural Language Processing (NLP) workloads on Azure | 15–20% | - Describe capabilities of Azure Speech - Identify types of NLP solutions - Describe capabilities of Azure Language - Describe capabilities of Azure Translator |
| Topic 3: Artificial Intelligence workloads and considerations | 15–20% | - Describe responsible AI principles - Identify types of AI workloads - Describe considerations for developing AI solutions |
| Topic 4: Fundamental principles of machine learning on Azure | 15–20% | - Describe machine learning pipelines - Describe automated machine learning - Describe capabilities of Azure Machine Learning - Describe core concepts of machine learning |
| Topic 5: Features of generative AI workloads on Azure | 20–25% | - Describe responsible AI practices for generative AI - Describe generative AI concepts - Describe capabilities of Azure OpenAI Service - Describe use cases for generative AI |
Everything You Need to Know About AI-900日本語, in One Place
The AI-900日本語 exam is Microsoft's benchmark for awarding the Microsoft Certified: Azure AI Fundamentals certification, a credential positioned at the Fundamental level. It measures whether you can apply the Microsoft Azure AI Fundamentals (AI-900日本語版) objectives under exam conditions — not whether you recognize them in a textbook. It also connects to a wider certification path that includes Microsoft Certified: Azure Data Fundamentals, Microsoft Certified: Azure Fundamentals, so the effort you invest here keeps paying off. That is exactly why preparation built on realistic questions outperforms passive reading.
The Microsoft Azure AI Fundamentals (AI-900日本語版) blueprint spans 5 domains, headlined by Features of computer vision workloads on Azure (15–20%), Features of Natural Language Processing (NLP) workloads on Azure (15–20%), and Features of generative AI workloads on Azure (20–25%). Read the weightings as a budget: the domains carrying more of the score deserve more of your week. The complete topic list lives in the exam topics section above — plan against it, not against guesswork.
The Microsoft Azure AI Fundamentals (AI-900日本語版) exam gives you 45 minutes for 40–60 questions. Convert that into a rhythm before test day: minutes divided by questions is your per-item budget, and anything burning twice its budget gets flagged and revisited at the end. Rehearse the pacing under a real timer — every GuideTorrent engine session runs one — until finishing with spare review time becomes normal.
Passing Microsoft Azure AI Fundamentals (AI-900日本語版) requires 700 (on a scale of 1–1000), and each attempt costs $99 USD — retakes included, at full price. The financially rational move is arriving over-prepared: drill with GuideTorrent practice questions until your timed scores clear the bar several sessions in a row, then register. That's not caution; it's refusing to pay for the same exam twice.
Microsoft lists the Microsoft Azure AI Fundamentals (AI-900日本語版) question formats as: Multiple choice, Multiple select, Scenario-based questions. Formats are not trivia — they change how you read. For long scenario stems, find the actual question sentence first; for multi-answer items, verify every option you select. GuideTorrent's 336 practice questions cover these formats thoroughly, so on exam day only the content is new.
The AI-900日本語 exam is offered in English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Russian, Indonesian (Indonesia), Arabic (Saudi Arabia), Chinese (Traditional), Italian. Pick the language where your reading speed holds up under time pressure — in a timed exam, slow comprehension is a hidden tax on every question. If you test in English, daily work with GuideTorrent's English AI-900日本語 practice questions doubles as targeted vocabulary training.
The certification earned through the Microsoft Azure AI Fundamentals (AI-900日本語版) exam remains valid for Valid indefinitely. Note the expiry date early and research the recertification path well before it arrives — a planned renewal is an errand, an expired credential is a project. Microsoft owns these policies, so confirm the current rules on the official certification page as your window approaches.
All three versions contain the same 336 expert-written questions — what you're choosing is a study environment:
- PDF version — printable, expert-prepared, instantly downloadable, readable anywhere, anytime. Includes 365 days of free updates and a free demo.
- Desktop Test Engine — Windows software that simulates the real exam environment, with two practice modes, offline access, and unlimited installations.
- Online Test Engine — runs in any web browser on Windows, Mac, Android, and iOS, with test history and performance review built in.
Many candidates combine formats — the PDF for reading, an engine for timed rehearsal.
Yes. GuideTorrent's free Microsoft Azure AI Fundamentals (AI-900日本語版) PDF demo contains genuine sample questions with verified answers, so you can judge the quality before spending anything. Every purchase includes 365 days of free updates, and renewing after that costs 50% of the regular price from your member zone. Test-drive first — confident material has nothing to hide.
Continuously. As Microsoft adjusts the Microsoft Azure AI Fundamentals (AI-900日本語版) exam, our experts revise the bank to match, and customer feedback feeds the same review loop. Updates are free for 365 days through your member zone; track them via the New Releases section or the GuideTorrent newsletter, and re-check your version 3-4 days before your exam. Expired products repurchase at 50% off to restart the service.
Support runs around the clock: free online consultation whenever you need it, remote guidance for installation or usage issues, and patient responses to content questions by email — suggestions are genuinely welcomed. On privacy, your purchase information is firmly protected: transactions are secured by McAfee security services, customer data is never disclosed to third parties, and no spam or telemarketing follows your order.
Delivery first: your Microsoft Azure AI Fundamentals (AI-900日本語版) practice questions are downloadable instantly and emailed within one minute of payment — if 2 hours pass, check spam and contact support. Install on as many computers as you need. If the exam doesn't go your way, the 100% Money Back Guarantee applies: take the corresponding exam within 60 days of purchase, and if you don't pass, submit a scanned enrollment slip and your official Score Report PDF within 2 days after the exam — full refunds are processed within 7 days. Not eligible: attempts within 3 days of purchase, exams never actually taken, free items, and expired orders; the candidate name must match the payer name. Prefer to keep preparing? Exchange for two free products of equal value and retain your update service.
Microsoft Azure AI Fundamentals (AI-900日本語版) Sample Questions:
膨大なコーディングなしで予測モデルを迅速に構築してデプロイするには、どの Azure Machine Learning 機能を使用する必要がありますか?
- A. Copilot
- B. DALL-E
- C. MLパイプライン
- D. 自動機械学習（Automated ML）
Correct Answer: D 🗳️
Explanation: Only visible for GuideTorrent members. You can sign-up / login (it's free).
Microsoft の責任ある AI 原則の例は何ですか?
- A. AI システムではブラックボックス モデルを使用する必要があります。
- B. AI システムは設計の詳細を公開すべきではありません。
- C. AIシステムは人々を公平に扱うべきです。
- D. AI システムは開発者の利益を保護する必要があります。
Correct Answer: C 🗳️
Explanation: Only visible for GuideTorrent members. You can sign-up / login (it's free).
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 "Describe features of natural language processing (NLP) workloads on Azure," Natural Language Processing refers to the branch of AI that enables computers to interpret, understand, and generate human language. One of the main NLP workloads identified by Microsoft is speech-to-text conversion, which transforms spoken words into written text.
Creating a text transcript of a voice recording perfectly fits this definition because it involves converting audio language data into text form - a process handled by speech recognition models. These models analyze the acoustic features of human speech, segment phonemes, identify words, and produce a text transcript. On Azure, this function is implemented using the Azure Cognitive Services Speech-to-Text API, part of the Language and Speech services.
Let's examine the other options to clarify why they are incorrect:
* Computer vision workload: Involves interpreting and analyzing visual data such as images and videos (e.g., object detection, facial recognition). It does not deal with speech or audio.
* Knowledge mining workload: Refers to extracting useful information from large amounts of structured and unstructured data using services like Azure Cognitive Search, not transcribing audio.
* Anomaly detection workload: Involves identifying unusual patterns in data (e.g., fraud detection or sensor anomalies), unrelated to language or speech.
In summary, when a system creates a text transcript from spoken audio, it is performing a speech recognition task-classified under Natural Language Processing (NLP). This workload helps make spoken content searchable, analyzable, and accessible, aligning with Microsoft's Responsible AI goal of enhancing accessibility through language understanding.
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:
Azure Bot Service and Azure Cognitive Services can be integrated. # Yes
* Azure Bot Service engages with customers in a conversational manner. # Yes
* Azure Bot Service can import frequently asked questions (FAQ) to question and answer sets. # Yes
\
All three statements are true, as confirmed by the Microsoft Azure AI Fundamentals (AI-900) official study guide and Microsoft Learn module "Explore conversational AI." The Azure Bot Service is Microsoft's platform for building, deploying, and managing intelligent bots that can communicate naturally with users across various channels (web, Teams, Facebook Messenger, etc.).
* Azure Bot Service and Azure Cognitive Services can be integrated # YesMicrosoft Learn specifies that Azure Bot Service can be enhanced with Azure Cognitive Services such as Language Understanding (LUIS), QnA Maker, and Speech Services to add intelligence. For example, integration with LUIS allows bots to understand user intent and context, while QnA Maker helps them respond accurately to FAQs. As stated in the official documentation: "The Azure Bot Service can be combined with Cognitive Services to create bots that understand language, speech, and meaning."
* Azure Bot Service engages with customers in a conversational manner # YesThe primary function of Azure Bot Service is to create conversational AI agents that interact naturally with users. These bots simulate human-like dialogue using text or speech. According to Microsoft Learn, "Bots created using Azure Bot Service communicate with users in a conversational format through natural language."
* Azure Bot Service can import frequently asked questions (FAQ) to question and answer sets # YesAzure Bot Service can integrate with the QnA Maker (now part of Azure Cognitive Service for Language) to automatically import FAQs from existing documents or web pages and generate a knowledge base of question-answer pairs. This allows the bot to respond intelligently to customer queries.
In conclusion, Azure Bot Service supports intelligent, conversational interaction, integrates seamlessly with Cognitive Services, and can use QnA Maker to import and manage FAQ-based knowledge sets-making all three statements true.
文を正しく完成させる答えを選択してください。
Correct Answer:
Explanation:
In the Microsoft Azure AI Fundamentals (AI-900) curriculum, computer vision capabilities refer to artificial intelligence systems that can analyze and interpret visual content such as images and videos. The Azure AI Vision and Face API services provide pretrained models for detecting, recognizing, and analyzing visual information, enabling developers to build intelligent applications that understand what they " see. " When asked how computer vision capabilities can be deployed, the correct answer is to integrate a face detection feature into an app. This aligns with Microsoft Learn's module "Describe features of computer vision workloads," which explains that computer vision can identify objects, classify images, detect faces, and extract text (OCR). The Face API, a part of Azure AI Vision, specifically provides face detection, verification, and emotion recognition capabilities.
Integrating these services into an application allows it to perform actions such as:
* Detecting human faces in photos or video streams.
* Recognizing facial attributes like age, emotion, or head pose.
* Enabling secure authentication based on face recognition.
The other options are incorrect because they relate to different AI workloads:
* Develop a text-based chatbot for a website: This falls under Conversational AI, implemented with Azure Bot Service or Conversational Language Understanding (CLU).
* Identify anomalous customer behavior on an online store: This task relates to machine learning and anomaly detection models, not computer vision.
* Suggest automated responses to incoming email: This uses Natural Language Processing (NLP) capabilities, not visual analysis.
Therefore, the correct and Microsoft-verified completion of the statement is:
"Computer vision capabilities can be deployed to integrate a face detection feature into an app."
Viewing page 1 out of 68 pages.
Viewing questions 1-5 out of 336 questions.
