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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 |
| Real Exam Qty: | 40-60 |
| Exam Format: | Sequence ordering, True/False, Single-choice, Multiple-choice, Drag and drop |
| Passing Score: | 700/1000 |
| Exam Price: | USD 99.00 |
| Exam Duration: | 45-60 |
| Certificate Validity Period: | No expiration (certification does not expire) |
| Related Certifications: | Microsoft Certified: Azure AI Fundamentals |
| Available Languages: | French, Spanish, Portuguese (Brazil), Japanese, Korean, German, English, Indonesian, Chinese (Simplified) |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored exam or in-person testing center (Pearson VUE) |
| Pre Condition: | No formal prerequisites required. Basic knowledge of cloud computing concepts is recommended but not mandatory. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/certifications/exams/ai-900/ |
Microsoft AI-900日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Describe AI workloads and considerations | 15-20% | - Identify features of common AI workloads - Identify guiding principles for responsible AI |
| Topic 2: Describe features of computer vision workloads on Azure | 15-20% | - Identify Azure AI services for computer vision - Identify common computer vision tasks - Describe Azure capabilities for computer vision |
| Topic 3: Describe features of Natural Language Processing (NLP) workloads on Azure | 15-20% | - Identify Azure AI services for NLP - Identify common NLP tasks - Describe Azure capabilities for NLP |
| Topic 4: Describe features of Generative AI workloads on Azure | 15-20% | - Identify responsible AI considerations for generative AI - Describe generative AI concepts - Describe Azure OpenAI Service capabilities |
| Topic 5: Describe fundamental principles of machine learning on Azure | 30-35% | - Describe features of no-code automated ML - Identify common machine learning tasks - Describe core machine learning concepts - Describe Azure Machine Learning capabilities |
Microsoft AI-900日本語 Exam Questions Answered
The AI-900日本語 exam leads to the Microsoft Certified: Azure AI Fundamentals certification from Microsoft. It is positioned at the Foundational level. The exam validates the knowledge and skills expected of candidates preparing for Microsoft Azure AI Fundamentals (AI-900日本語版).
Related certifications include:
- Microsoft Certified: Azure AI Fundamentals
The AI-900日本語 exam includes 40-60 questions and allows 45-60. Before test day, divide the available time by the number of questions in a timed practice set to establish a steady per-question pace. If a difficult item starts consuming too much time, mark it for review and move forward instead of losing momentum. A full timed practice session can help you decide when to move on, when to return, and how much buffer to reserve for a final check.
The passing score for AI-900日本語 is 700/1000, and the official exam fee is USD 99.00. Because a retake requires paying the exam fee again, use timed practice results as a readiness check before scheduling your next attempt. If your performance remains inconsistent, continue reviewing weak domains and repeat a timed session before booking the exam.
No formal prerequisites required. Basic knowledge of cloud computing concepts is recommended but not mandatory.
Eligibility rules can change, so confirm the current requirements on the official exam page before registering.
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The current AI-900日本語 outline is organized into 5 top-level domains. The first listed areas include:
- Describe fundamental principles of machine learning on Azure (30-35%)
- Describe features of Generative AI workloads on Azure (15-20%)
- Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
Review the Exam Topics section above for the complete outline and any nested subtopics.
Microsoft Azure AI Fundamentals (AI-900日本語版) Sample Questions:
Question 1
あなたは、ソーシャルメディアの投稿を分析して都市名や最も頻繁に話題に上る都市名を抽出するソリューションを持っています。
このソリューションは、どのタイプの自然言語処理(NLP)ワークロードを使用しますか?
A. キーワード抽出
B. 音声認識
C. 感情分析
D. エンティティ認識
Question 2
文を正しく完成させる答えを選択してください。
Question 3
個人のデジタル写真のコレクションにラベルを付けるモデルを作成する必要があります。
どの Azure Al サービスを使用する必要がありますか?
A. アズール アル カスタム ビジョン
B. Azure Al Document Intelligence
C. アズールアル言語
D. アジュール アル コンピューター ビジョン
Question 4
テキスト データ内の名前と電話番号のマスキングを自動化するには、Azure Al Language サービスのどの機能を使用する必要がありますか?
A. カスタム名前付きエンティティ認識 (NER)
B. カスタムテキスト分類
C. エンティティリンク
D. 個人識別情報(Pll)の検出
Question 5
責任あるAIの原則を適切な要件に一致させます。
答えるには、適切な原則を左側の列から右側の要件にドラッグします。各原則は、1回使用することも、複数回使用することも、まったく使用しないこともできます。コンテンツを表示するには、ペイン間で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:正しい選択はそれぞれ1ポイントの価値があります。
Solutions:
| Question 1 Answer: D | Question 2 Answer: Only visible for members | Question 3 Answer: A | Question 4 Answer: D | Question 5 Answer: Only visible for members |
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