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

AI-103日本語 real exams

Exam Code: AI-103-JPN

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

Updated: Jul 28, 2026

Q & A: 159 Questions and Answers

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Microsoft AI-103日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Plan and manage Azure AI solutions25-30%- Manage AI solution lifecycle
  • 1. Implement CI/CD for AI applications
  • 2. Apply responsible AI practices
  • 3. Monitor model and application performance
- Plan Azure AI resources
  • 1. Manage deployments and monitoring
  • 2. Configure authentication and security
  • 3. Select Azure AI services and Foundry resources
Topic 2: 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
Topic 3: Implement computer vision solutions10-15%- Analyze visual content
  • 1. Implement OCR and visual understanding
  • 2. Use multimodal vision APIs
  • 3. Process images and video
Topic 4: Implement agentic solutions20-25%- Build AI agents
  • 1. Integrate tools and external knowledge
  • 2. Create autonomous and multi-agent workflows
  • 3. Configure memory and orchestration
- Manage agent operations
  • 1. Secure agent interactions
  • 2. Monitor and debug agents
  • 3. Implement scalable deployments
Topic 5: Implement generative AI solutions25-30%- Develop generative AI applications
  • 1. Use Azure OpenAI and Foundry models
  • 2. Build retrieval-augmented generation solutions
  • 3. Implement prompt engineering
- Optimize and evaluate models
  • 1. Implement multimodal AI capabilities
  • 2. Evaluate responses and grounding
  • 3. Configure content filters and safety

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

1. ドラッグアンドドロップ問題
デプロイ済みのチケットトリアージエージェントを含むMicrosoft Foundryプロジェクトがあります。
エージェントがツールを必要とする場合でも、ツールを呼び出さずに応答することがあるということに気づくでしょう。
エージェントが実行中にツールを呼び出すようにする必要があります。
Pythonコードを完成させるにはどうすればよいでしょうか?適切な値を正しいターゲット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。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。


2. 事前に構築された Azure 言語モデルを使用するアプリケーションがあります。
以下の要件を満たす要約を作成する必要があります。
・複数の文を含む文書を要約する
- 元の文の順序を保持します
- 正確に3つの文を返します
どの言語サービス機能を使用すべきですか?

A) 感情分析
B) 抽出型要約
C) 抽象的要約
D) キーワード抽出


3. ドラッグアンドドロップ問題
あなたは、Foundry Tools の Azure Content Understanding を使用してマーケティング動画を分析する Microsoft Foundry プロジェクトを持っています。
動画のセグメンテーションが有効になっています。
各ビデオセグメントの配色を記述するJSONフィールドを出力するようにアナライザーを設定する必要があります。
アナライザーの設定方法を教えてください。適切な値を正しいターゲットにドラッグして設定します。各値は、1回、複数回、または全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。


4. 顧客サポートエージェントを含む Microsoft Foundry プロジェクトがあるとします。このエージェントは、応答を生成する前に、内部のナレッジ API ツールを呼び出します。
ユーザーから以下の問題が報告されています。
- 一部のリクエストは完了までに15秒以上かかる場合があります。
- 知識APIが期待されるデータを返した場合でも、一部の応答が誤っていることがあります。
大規模言語モデル(LLM)呼び出し、ツール呼び出し、およびタイミング情報の順序を確認するには、個々のエージェントの実行を検査する必要があります。
どの可観測性機能を使用すべきでしょうか?

A) モニタリング
B) 安全指標
C) トークンの使用
D) トレース


5. あなたは、Agent1 という名前のエージェントを含む Microsoft Foundry プロジェクトを持っています。
エージェントは正常に実行されますが、Foundry Control Planeにはエラー率、実行回数、トークン使用量の値が表示されず、トレースタブも空です。
「検出されたコントロールプレーン」に、Agent1 の適切な値が表示されていることを確認する必要があります。
あなたはどうすべきでしょうか?

A) Foundry Control Planからエージェントを再起動する
B) Agent1 の Application Insights を有効にします。
C) エージェント1にログ分析ワークスペースを割り当てます。
D) Agent1を新しいバージョンにアップデートしてください。


Solutions:

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

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