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Microsoft AI-103日本語 real answers - Developing AI Apps and Agents on Azure (AI-103日本語版)

AI-103日本語
  • Exam Code: AI-103-JPN
  • Exam Name: Developing AI Apps and Agents on Azure (AI-103日本語版)
  • Updated: Aug 02, 2026
  • Q & A: 159 Questions and Answers
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Microsoft AI-103日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement generative AI and agentic solutions30–35%- Design and implement intelligent agents
  • 1. Manage state, memory, and context
  • 2. Implement multi-agent workflows and orchestration
  • 3. Integrate agents with external systems and data sources
  • 4. Select agent architecture patterns
- Build generative AI applications
  • 1. Implement function calling and tool use
  • 2. Implement prompt engineering and optimization
  • 3. Integrate Azure OpenAI and other models
  • 4. Build retrieval-augmented generation (RAG) solutions
Topic 2: Implement text and speech analysis solutions10–15%- Implement natural language processing
  • 1. Use Azure AI Language services
  • 2. Build conversational language understanding
  • 3. Perform sentiment analysis, entity recognition, and summarization
- Implement speech capabilities
  • 1. Speech translation and speaker recognition
  • 2. Speech-to-text and text-to-speech integration
Topic 3: Implement information extraction and knowledge mining10–15%- Extract structured data from documents
  • 1. Process forms, invoices, and unstructured content
  • 2. Use Azure AI Document Intelligence
- Build knowledge bases and search solutions
  • 1. Design knowledge mining pipelines
  • 2. Implement Azure AI Search
  • 3. Create and manage vector indexes
Topic 4: Plan and manage Azure AI solutions25–30%- Design Azure AI infrastructure
  • 1. Plan for security, compliance, and responsible AI
  • 2. Select appropriate Azure AI Foundry services
  • 3. Design for scalability, availability, and cost optimization
- Manage AI solution development lifecycle
  • 1. Monitor and maintain AI workloads
  • 2. Integrate with CI/CD pipelines
  • 3. Configure model and agent deployments
Topic 5: Implement computer vision solutions10–15%- Implement image analysis and processing
  • 1. Implement object detection and image classification
  • 2. Use Azure AI Vision services
  • 3. Extract text and structure from images
- Build multimodal solutions
  • 1. Process and analyze video content
  • 2. Combine vision and language capabilities

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

1. 製品に関する質問に回答するSemantic Kernelエージェントがあります。
あなたは、注文状況に関する質問に答えられるように、エージェントの機能を拡張することを計画しています。
エージェントが注文状況に関する質問にできるだけ迅速に回答できるようにする必要があります。また、開発の手間を最小限に抑えるソリューションが求められます。
解決策には何を含めるべきでしょうか?

A) 種子
B) プラグイン
C) 関数
D) エージェント


2. ホットスポットに関する質問
内部Q&Aエージェントを含むMicrosoft Foundryプロジェクトがあります。
ユーザーがエージェントに質問した際に、以下のような問題が報告されています。
- 次の回答が増加しました:「関連情報なし」
見つかった"
- ピーク時間帯にHTTP 429レート制限超過エラーが定期的に発生
各問題の原因が、モデルの利用不可、リソース制限、または推論の失敗のいずれであるかを特定する必要があります。
どうすればよいですか?回答するには、回答欄で適切な選択肢を選んでください。
注:正解ごとに1ポイントが加算されます。


3. 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 Too の Azure Content Understanding を使用して、ベンダーのオンボーディング パケットを処理します。これらのパケットには、表とハイパーリンクを含むデジタル PDF ファイルが含まれています。
抽出されたコンテンツは検索用にインデックス化され、Markdown形式で下流のエージェントに提供されます。
検索拡張生成(RAG)ワークフローに最適化されたレイアウトと意味構造を持つMarkdown出力を生成する必要があります。
どの内蔵アナライザーを使用すべきですか?

A) 事前構築済みドキュメントフィールドスキーマ
B) 事前構築済みレイアウト
C) 組み込みドキュメント検索
D) プリビルド読み取り


4. Azure OpenAIのGPT-4モデルを使用して歌詞を生成するチャットボットを構築します。
回答には、モデル学習中に取り込まれた可能性のある人気曲の歌詞が含まれていないことを確認する必要があります。
どのAzure AIコンテンツ安全APIを使用すべきでしょうか?

A) 接地性検出
B) テキスト分析
C) 保護された素材のテキスト検出
D) カスタムカテゴリ


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

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