Last Updated: Nov 10, 2026
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Practice questions should stay close to the real exam. BraindumpQuiz updates the Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) engine according to actual exam changes — 425 practice questions for the AI-102日本語 exam, always relevant in 2026.
| Section | Objectives |
|---|---|
| Topic 1: Implement Generative AI Solutions | - Build retrieval-augmented generation (RAG) solutions - Integrate prompt engineering techniques - Implement Azure OpenAI Service solutions |
| Topic 2: Implement Knowledge Mining and Document Intelligence | - Enrich and index data for search scenarios - Build Azure AI Search solutions - Implement document intelligence solutions |
| Topic 3: Implement Natural Language Processing Solutions | - Implement question answering and conversational AI - Translate and interpret language using Azure AI services - Analyze text using Azure AI Language |
| Topic 4: Implement Computer Vision Solutions | - Implement custom vision models - Analyze images and videos using Azure AI Vision - Extract information using OCR and form recognition |
| Topic 5: Plan and Manage an Azure AI Solution | - Select appropriate Azure AI services - Manage security, compliance, and responsible AI - Plan solution requirements and architecture |
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The Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) is Microsoft's certification exam for Microsoft Certified: Azure AI Engineer Associate, at the Associate level. The certificate makes you advanced and competitive — priority in employment and promotion goes to the certified. Related credentials include Microsoft Certified: Azure AI Fundamentals (AI-900).
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The Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) blueprint spans 5 domains — including Implement Computer Vision Solutions, Plan and Manage an Azure AI Solution, Implement Knowledge Mining and Document Intelligence. Weight the heavy domains in your schedule; the complete outline above lists every subtopic.
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チャットボットを開発しています。
次のコンポーネントを作成します。
* QnA Maker リソース
* Azure Bot Framework SDK を使用したチャットボット
技術要件とチャットボットの要件を満たすために、追加のコンポーネントを追加する必要があります。何を追加すればよいでしょうか?
Correct Answer: A 🗳️
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あなたは、Microsoft Foundry を使用して、検索拡張生成 (RAG) パターンを実装する予定です。
接地データはAzure Files共有に保存されています。
モデルがグラウンディングデータを使用できるように、Microsoft Foundry プロジェクトを構成する必要があります。
どの操作を順番に実行すべきでしょうか?回答するには、適切な操作を正しい順序にドラッグしてください。
各操作は、1回だけ使用することも、複数回使用することも、全く使用しないことも可能です。コンテンツを表示するには、ペイン間の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:正解ごとに1ポイントが加算されます。
Correct Answer:

Explanation:
Step 1: Create a project. (Given)
Step 2: Add a data connection.
Step 3: Add a deployment.
Explanation:
Add a data connection: Before the model can " see " your grounding data stored in an Azure Files share, you must establish a connection. This step allows the project to securely access and index the external data source so it can be used for retrieval.
Add a deployment: In Microsoft Foundry, you don ' t just " add a model " in a vacuum; you must deploy a specific model (such as a GPT-4 chat model or an embedding model) to make it active and available to interact with your data and respond to queries.
Azure ai Language サービスを使用して音声翻訳を実行するアプリを構築しています。
アプリへの言語入力がサポートされていることを確認する必要があります。
コードをどのように完成させるべきですか? 回答するには、回答エリアで適切なオプションを選択してください。
注意: 正しい選択ごとに 1 ポイントが付与されます。
Correct Answer:

Explanation:
To validate that an input language is supported for translation, call the Translator SDK's GetLanguagesAsync with scope: " translation " to retrieve the supported languages. The call returns a GetLanguagesResult, whose Translation property is a dictionary keyed by language codes (e.g., " en " , " it " ). You can then check membership with ContainsKey(language) . If the key exists, the language is supported; otherwise, it isn't.
This matches the .NET Translator client design:
TextTranslationClient.GetLanguagesAsync(...) fetches supported languages.
GetLanguagesResult.Translation is a dictionary of translation-capable languages, so ContainsKey is the correct check.
Microsoft References
TextTranslationClient.GetLanguagesAsync (overview and signature).
Languages REST reference - use scope=translation to get languages supported for translation. Microsoft Learn GetLanguagesResult class - Translation dictionary property.
Azure Cognitive Service for Language リソースを含む Azure サブスクリプションをお持ちです。Language Service の REST インターフェイスの URL を確認する必要があります。Azure Portal のどのブレードを使用すればよいですか?
Correct Answer: B 🗳️
Explanation: Only visible for BraindumpQuiz members. You can sign-up / login (it's free).
次の要件を満たすチャットボットを構築する必要があります。
チットチャット、ナレッジベース、および多言語モデルをサポートします
ユーザーメッセージの感情分析を実行します
最適な言語モデルを自動的に選択します
チャットボットに何を統合する必要がありますか?
Correct Answer: A 🗳️
Explanation: Only visible for BraindumpQuiz members. You can sign-up / login (it's free).
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