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

AI-103日本語 pass collection

Exam Code: AI-103-JPN

Exam Name: Developing AI Apps and Agents on Azure (AI-103日本語版)

Updated: Sep 01, 2026

Q & A: 159 Questions and Answers

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Microsoft AI-103日本語 Exam Syllabus Topics:

SectionWeightObjectives
Implement agentic solutions20-25%- Manage agent operations
  • 1. Implement scalable deployments
  • 2. Monitor and debug agents
  • 3. Secure agent interactions
- Build AI agents
  • 1. Integrate tools and external knowledge
  • 2. Configure memory and orchestration
  • 3. Create autonomous and multi-agent workflows
Implement text analysis and information extraction solutions10-15%- Analyze and extract information
  • 1. Implement natural language processing
  • 2. Extract entities and structured data
  • 3. Use document intelligence services
Implement computer vision solutions10-15%- Analyze visual content
  • 1. Process images and video
  • 2. Implement OCR and visual understanding
  • 3. Use multimodal vision APIs
Implement generative AI solutions25-30%- Optimize and evaluate models
  • 1. Configure content filters and safety
  • 2. Evaluate responses and grounding
  • 3. Implement multimodal AI capabilities
- Develop generative AI applications
  • 1. Build retrieval-augmented generation solutions
  • 2. Use Azure OpenAI and Foundry models
  • 3. Implement prompt engineering
Plan and manage Azure AI solutions25-30%- Plan Azure AI resources
  • 1. Configure authentication and security
  • 2. Select Azure AI services and Foundry resources
  • 3. Manage deployments and monitoring
- Manage AI solution lifecycle
  • 1. Monitor model and application performance
  • 2. Implement CI/CD for AI applications
  • 3. Apply responsible AI practices

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

Question 1

ドラッグアンドドロップ問題
エージェントを含む Microsoft Foundry プロジェクトがあります。
エージェントが複数の会話にわたってユーザー設定を記憶できるようにするには、長期記憶を有効にする必要があります。保存される記憶は、クライアントアプリケーションがユーザーIDを手動で生成することなく、認証済みユーザーごとに分離されている必要があります。
Pythonコードを完成させるにはどうすればよいでしょうか?適切な値を正しい場所にドラッグして答えてください。各値は1回、複数回、または全く使用されない場合があります。
注:正解ごとに1ポイントが加算されます。


Question 2

あなたはチャットボットを構築しています。
チャットボットがユーザー入力を個別のカテゴリに分類できることを確認する必要があります。カテゴリは動的であり、推論時に定義されなければなりません。
入力データの分類には、どのサービスを利用すべきですか?

A. Azure AI言語カスタムテキスト分類
B. Azure OpenAI テキスト要約
C. Azure OpenAI テキスト分類
D. Azure AI 言語のカスタム固有表現認識 (NER)


Question 3

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


Question 4

ホットスポットに関する質問
Azure Vision in Foundry Tools API への呼び出しから取得した結果を検証するためのテスト メソッドを開発します。この呼び出しは、画像内に企業ロゴが存在するかどうかを分析するために使用されます。呼び出しは、brands という名前のブランドのコレクションを返します。
以下のコードセグメントがあります。

以下の各記述について、正しい場合は「はい」を選択してください。そうでない場合は「いいえ」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。


Question 5

ホットスポットに関する質問
エージェントを含む Microsoft Foundry プロジェクトがあります。
エージェントはユーザーがアップロードしたスクリーンショットを受け付け、マルチモーダルなチャットモデルを使用します。
一部のスクリーンショットには、悪意のある可能性のある埋め込みテキストが含まれています。
即時インジェクション攻撃を防ぎ、サードパーティのコンテンツを低信頼度として扱うようにする必要があります。
文書攻撃に対するプロンプトシールドはどのように設定すべきですか?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: Only visible for members
Question 2
Answer: C
Question 3
Answer: A,D
Question 4
Answer: Only visible for members
Question 5
Answer: Only visible for members

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