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Updated: Aug 18, 2026

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Microsoft AI-103日本語 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Developing AI Apps and Agents on Azure AI
Exam Number:AI-103
Related Certifications:Microsoft Certified: Azure AI Engineer Associate
Microsoft Certified: Azure AI Fundamentals
Microsoft Certified: Azure Developer Associate
Real Exam Qty:40-60
Certificate Validity Period:1 year (renewable via Microsoft Learn assessment)
Passing Score:700/1000
Exam Price:USD 165 (may vary by region)
Exam Format:Multiple choice, Multiple response, Case studies, Drag and drop, Scenario-based questions
Exam Duration:120-180
Available Languages:English
Recommended Training:Azure OpenAI Service Documentation
Microsoft Learn - Azure AI Engineer Learning Path
Exam Registration:Microsoft Certification Dashboard
Pearson VUE Microsoft Exams
Sample Questions:Microsoft AI-103日本語 Sample Questions
Exam Way:Online proctored exam or authorized test center
Pre Condition:Recommended: experience with Azure services, Python or C#, and basic machine learning concepts. Prior knowledge of Azure AI-102 or equivalent is helpful but not mandatory.
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-engineer/

Microsoft AI-103日本語 Exam Syllabus Topics:

SectionObjectives
Topic 1: Implement Computer Vision Solutions- Image classification and object detection
- OCR and document intelligence
Topic 2: Plan and Manage Azure AI Solutions- Responsible AI principles and governance
- Azure AI resource provisioning and configuration
- Model selection and lifecycle management
Topic 3: Implement Natural Language Processing Solutions- Language understanding and intent recognition
- Translation and multilingual support
- Text analytics and summarization
Topic 4: Knowledge Mining and Information Retrieval- Indexing and semantic search
- RAG (Retrieval Augmented Generation) patterns
- Azure AI Search configuration
Topic 5: Develop Generative AI Applications and Agents- Azure OpenAI Service integration
  • 1. Prompt engineering and prompt flow design
    • 2. Function calling and tool use
      - AI agents architecture
      • 1. Memory and state management
        • 2. Agent orchestration and workflows

          Microsoft Developing AI Apps and Agents on Azure (AI-103日本語版) Sample Questions:

          1. 顧客サポートWebアプリで使用されるプロンプトエージェントを含むMicrosoft Foundryプロジェクトがあります。
          エージェントは、Foundryポータル内で実行されていないPythonサービスから呼び出されます。
          エージェント実行全体にわたる遅延の異常や例外を捕捉するために、エンドツーエンドのトレースを実装する必要があります。
          どの2つの部品を使用すればよいでしょうか?それぞれの正解は完全な解決策を示しています。
          注:正解ごとに1ポイントが加算されます。

          A) マイクロソフトセンチネル
          B) Azure Monitor Agent
          C) アプリケーションのインサイト
          D) OpenTelemetry
          E) Log Analyticsワークスペース


          2. 開発者は、推論を実行してエージェントを使用するために、Microsoft Foundry プロジェクトのエンドポイントを呼び出すためのマネージド ID を必要とします。セキュリティ ポリシーでは、データ プレーンへのアクセスのみを許可する最小限の権限を持つロールが求められています。マネージド ID には、どの組み込みロールを割り当てるべきですか?

          A) 認知サービス貢献者
          B) 鋳造所ユーザー
          C) Azure AI開発者
          D) Foundryアカウント所有者


          3. ドラッグアンドドロップ問題
          Azure AI Search を使用する Web アプリケーションをお持ちです。
          アクティビティをレビューしたところ、予想を上回る検索クエリ数が確認されました。クエリキーが侵害された疑いがあります。
          検索エンドポイントへの不正アクセスを防止し、ユーザーがドキュメントコレクションに対して読み取り専用アクセスのみを許可されるようにする必要があります。また、アプリケーションのダウンタイムを最小限に抑えるソリューションが求められます。
          どの3つの行動を順番に実行すべきでしょうか?回答するには、行動リストから適切な行動を回答欄に移動させ、正しい順序に並べ替えてください。


          4. エージェントを含む Microsoft Foundry プロジェクトがあります。
          エージェントは、データ取得ツールとしてAzure AI Searchを使用します。
          エージェントがドキュメント内および埋め込み画像内のテキストに基づいて応答を生成できるように、PDFをAzure AI Searchインデックスに取り込む予定です。
          利用者は、出典ファイルへのリンクを含む引用を求めている。
          インデックス作成の際には、画像が内蔵の光学文字認識(OCR)機能の入力として使用できる構造に抽出されるようにする必要があります。
          どのインデックス作成方法を採用すべきでしょうか?

          A) 画像データを検索可能なフィールドに書き込むための outputFieldMappings パラメータ
          B) インデックスのコンテンツフィールドに対してOCRスキルを直接実行するスキルセット
          C) 画像データを正規化された画像コレクションに抽出するインデクサー
          D) OCR入力を再構築するシェイパースキル


          5. ドラッグアンドドロップ問題
          複数のエージェントで構成されるソリューションを含む Microsoft Foundry プロジェクトがあります。エージェントはツール呼び出しを使用して内部システムに問い合わせを行います。
          以下の要件を満たすためには、責任あるAI監査を実施する必要があります。
          エージェントの実行全体にわたる、ネストされたすべての操作をキャプチャします。
          ツール呼び出し時の引数と結果をメタデータとして記録する。
          各要件には何を使用すべきですか?回答するには、適切なオプションを正しいターゲットにドラッグしてください。各オプションは、1回、複数回、またはまったく使用しない場合があります。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。


          Solutions:

          Question # 1
          Answer: C,D
          Question # 2
          Answer: B
          Question # 3
          Answer: Only visible for members
          Question # 4
          Answer: C
          Question # 5
          Answer: Only visible for members

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