In 2026, Microsoft keeps evolving its exams — and PracticeVCE keeps pace, revising the Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) bank continuously with 365 days of free updates on every AI-102日本語 purchase.
Microsoft AI-102日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement generative AI solutions | 15-20% | - Implement model monitoring and feedback - Orchestrate multiple models and containers - Apply prompt engineering and fine-tuning - Deploy and manage generative models - Integrate Azure OpenAI and other generative models |
| Topic 2: Implement natural language processing solutions | 15-20% | - Perform text analysis, sentiment detection, and language detection - Implement translation and summarization - Build conversational AI and chatbots - Customize and deploy NLP models |
| Topic 3: Plan and manage an Azure AI solution | 20-25% | - Plan solutions aligned with responsible AI principles - Select suitable AI models - Select appropriate Microsoft Foundry Services - Create and configure Azure AI resources - Monitor, optimize, and secure AI solutions - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining |
| Topic 4: Implement an agentic solution | 5-10% | - Understand agent use cases and types - Develop multi-agent workflows and orchestration - Build agents with Microsoft Foundry Agent Service - Test, deploy, and optimize agents |
| Topic 5: Implement computer vision solutions | 10-15% | - Integrate vision capabilities into applications - Analyze images and detect objects/features - Extract text and handwriting from images - Process and index video content - Build and deploy custom vision models |
| Topic 6: Implement knowledge mining and information extraction solutions | 15-20% | - Build knowledge bases and search indexes - Ingest and process structured/unstructured data - Extract entities, relationships, and key phrases - Implement intelligent search and retrieval |
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The AI-102日本語 exam is Microsoft's path to the Microsoft Certified: Azure AI Engineer Associate certification, a credential at the Associate level. It confirms you can apply the Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) objectives in realistic scenarios — the kind of proof that changes job conversations. It also connects to a wider certification family covering Microsoft Certified: Azure AI Fundamentals (AI-900), Microsoft Certified: Azure Data Scientist Associate, Microsoft Certified: Azure Developer Associate, so the effort keeps compounding. It's easier to want than to earn, which is exactly why structured practice beats good intentions.
The Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) blueprint spans 6 domains, led by Implement generative AI solutions (15-20%), Implement natural language processing solutions (15-20%), and Implement an agentic solution (5-10%). Treat the weightings as your study budget — heavier domains earn heavier hours. The full topic list is in the exam topics section above; plan against it, not against guesswork.
The Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) exam packs 40-60 questions into 100 minutes. Convert that into a tempo before test day: minutes divided by questions is your per-item budget, and anything burning double its budget gets flagged and revisited at the end. Rehearse the tempo against a real timer — every PracticeVCE engine session enforces one — until finishing with review time to spare feels routine.
Passing Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) requires 700 (scaled score out of 1000), and each attempt costs $165 USD (varies by region: £113 GBP, €126 EUR) — retakes included, at full price. The sound strategy is arriving over-prepared: drill with PracticeVCE practice questions until your timed scores clear the mark across several consecutive sessions, then register. Over-preparation is cheaper than re-registration.
Microsoft lists the Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) question formats as: Multiple choice, Multiple select, Drag-and-drop, Case studies, Hot area, Performance-based scenarios. Formats shape tactics — find the actual question sentence inside long scenario stems before reading the rest, and re-verify every selection on multi-answer items. PracticeVCE's 425 practice questions drill these formats until only the content feels new on exam day.
The AI-102日本語 exam is offered in English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Italian, Indonesian. Choose the language where your reading stays fastest under pressure — slow comprehension taxes every question in a timed exam. Testing in English? Daily sessions with PracticeVCE's English AI-102日本語 practice questions double as terminology training.
The certification earned through the Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) exam remains valid for 1 year (renewable via free online assessment). Note the expiry date the day you pass and research the recertification path early — a planned renewal is an errand, an expired credential is a project. Microsoft owns these rules, so verify the current ones on the official certification page as your window approaches.
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Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) Sample Questions:
テキストファイル、ビデオ、オーディオストリーム、および仮想ディスクイメージの保存と取得に最適化された非リレーショナルデータストアを推奨する必要があります。データストアには、データ、一部のメタデータ、および各ファイルの一意のIDを保存する必要があります。どのタイプのデータストアをお勧めしますか?
- A. オブジェクト
- B. ドキュメント
- C. 柱状
- D. キー/値
Correct Answer: A 🗳️
Explanation: Only visible for PracticeVCE members. You can sign-up / login (it's free).
Language Understanding サービスを使用して言語モデルを構築しています。
新しい Language Understanding リソースを作成します。
貢献者をさらに追加する必要があります。
何を使うべきでしょうか?
- A. Azure ポータルのオーサリング リソースのアクセス制御 (1AM) ページ
- B. Azure Active Directory (Azure AD) の条件付きアクセス ポリシー
- C. Azure ポータルの予測リソースのアクセス制御 (1AM) ページ
Correct Answer: A 🗳️
Explanation: Only visible for PracticeVCE members. You can sign-up / login (it's free).
あなたはあなたの会社のウェブサイト上の会社のビデオの検索インターフェースを提供するために使用されるビデオインデクサーサービスを持っています。
ビデオに誰が参加しているかに基づいてビデオを検索できる必要があります。あなたは何をするべきか?
- A. 言語モデルに名前をアップロードします。
- B. 人物オブジェクトを作成し、各オブジェクトの顔画像を提供します。
- C. 人物モデルを作成し、そのモデルを動画に関連付けます。
- D. 会社のスタッフ全員をVideoIndexerに招待します。
- E. ビデオの顔を編集します。
Correct Answer: C 🗳️
Explanation: Only visible for PracticeVCE members. You can sign-up / login (it's free).
lu1 という名前の Language Understanding リソースがあります。
lu1 を使用する bot1 という名前の Azure ボットを構築してデプロイします。
bot1 が Microsoft の責任ある AI の包括性の原則に準拠していることを確認する必要があります。
bot1 をどのように拡張すればよいでしょうか?
- A. bot1 に Direct Line Speech を追加します。
- B. コンテナ内のホスト Iu1。
- C. bot1 の認証を実装します。
- D. Iu1 のアクティブ ラーニングを有効にします。
Correct Answer: A 🗳️
Explanation: Only visible for PracticeVCE members. You can sign-up / login (it's free).
音声および言語 API を使用するアプリの開発に成功しました。
アプリのリソースをプロビジョニングする必要があります。ソリューションでは、各サービスに単一のエンドポイントと認証情報を使用してアクセスできるようにする必要があります。どのような種類のリソースを作成すればよいですか?
- A. Azure AI サービス
- B. Azure AI コンテンツの安全性
- C. Azure Al 言語
- D. アズール・アル・スピーチ
Correct Answer: A 🗳️
Explanation: Only visible for PracticeVCE members. You can sign-up / login (it's free).
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