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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
Exam Format:Multiple choice, Multiple response, Drag and drop, Case studies, Scenario-based questions
Available Languages:English
Exam Duration:120-180
Passing Score:700/1000
Exam Price:USD 165 (may vary by region)
Related Certifications:Microsoft Certified: Azure AI Fundamentals
Microsoft Certified: Azure AI Engineer Associate
Microsoft Certified: Azure Developer Associate
Certificate Validity Period:1 year (renewable via Microsoft Learn assessment)
Real Exam Qty:40-60
Recommended Training:Azure OpenAI Service Documentation
Microsoft Learn - Azure AI Engineer Learning Path
Exam Registration:Pearson VUE Microsoft Exams
Microsoft Certification Dashboard
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 Natural Language Processing Solutions- Translation and multilingual support
- Language understanding and intent recognition
- Text analytics and summarization
Topic 2: Plan and Manage Azure AI Solutions- Azure AI resource provisioning and configuration
- Responsible AI principles and governance
- Model selection and lifecycle management
Topic 3: 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
          Topic 4: Knowledge Mining and Information Retrieval- Indexing and semantic search
          - RAG (Retrieval Augmented Generation) patterns
          - Azure AI Search configuration
          Topic 5: Implement Computer Vision Solutions- OCR and document intelligence
          - Image classification and object detection

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

          Question 1

          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、Azure AI Search の Retrieval Augmented Generation (RAG) を使用します。
          あなたはPDF形式の製品マニュアルを取り込んでインデックス化する計画を立てています。
          意味的類似性マッチングをサポートするソリューションを構築する必要があります。このソリューションは、ユーザーからの質問が製品マニュアルとは異なる表現を使用している場合でも、エージェントが関連データを取得でき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. 意味的ランキング
          B. ベクトル検索
          C. 分析装置
          D. サジェスター


          Question 2

          App1 という名前のアプリケーションがあり、Foundry Tools の Azure Speech を使用してライブ通話を文字起こししています。
          トランスクリプトには、英語とスペイン語の両方が含まれていることがよくあります。App1 は、各セグメントを Foundry Tools の Azure Translator に送信し、別の言語に翻訳します。
          場合によっては、複数の言語が混在する部分では、翻訳が不完全または不正確になることがあります。
          翻訳エラーを減らす必要があります。解決策は、文字起こし全体が確実に正しく翻訳されることを保証するものでなければなりません。
          翻訳ツールにセグメントを送信する前に、何をすべきですか?

          A. すべてのセグメントの翻訳依頼において、原文言語として英語を指定してください。
          B. 文書翻訳を使用して、トランスクリプト全体を単一の文書として翻訳します。
          C. 複数の言語が混在するセグメントを単一言語のセグメントに分割し、各セグメントを個別に翻訳します。
          D. 翻訳依頼の自動言語検出を有効にします。


          Question 3

          Project1という名前のMicrosoft Foundryプロジェクトがあり、その中に以下のものが含まれています。
          - 外部APIを呼び出すOpenAPIツール
          - 外部 API の API キーを格納する Connection1 という名前のプロジェクト接続。エージェントが OpenAPI ツールを呼び出すと、API は 401 認証エラーを返し、トレースでは API キー ヘッダーが送信されていないことが示されます。
          OpenAPIツールが、すべてのリクエストにConnection1のAPIキーを自動的に含めるようにする必要があります。
          あなたはどうすべきでしょうか?

          A. ツールを接続1に接続します。
          B. OpenAPI仕様にAPIキーヘッダーを手動で追加します。
          C. IDパススルーを有効にして、ツールが呼び出し元のMicrosoft Entraトークンを使用するようにします。
          D. ツールをProject1のデフォルト接続を使用するように設定します。


          Question 4

          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。


          Question 5

          ホットスポットに関する質問
          顧客サポートのトリアージプロセス用のワークフローを含むMicrosoft Foundryプロジェクトがあります。
          質問ノードがあり、ユーザーの回答はVar01という名前のローカル変数に保存されます。
          以下のPower Fx式を作成する必要があります。
          - Var01 に以下の内容が含まれることを保証する if/else 条件式
          価値
          - 保存されたユーザー応答を返す送信メッセージ式
          大文字
          式はどのように設定すればよいですか?回答するには、回答欄で適切なオプションを選択してください。
          注:正解ごとに1ポイントが加算されます。


          Solutions:

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

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