Microsoft AI-103日本語 dumps - in .pdf

AI-103日本語 pdf
  • Exam Code: AI-103日本語
  • Exam Name: Developing AI Apps and Agents on Azure (AI-103日本語版)
  • Updated: Sep 04, 2026
  • Q & A: 159 Questions and Answers
  • PDF Price: $69.99

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  • Exam Code: AI-103日本語
  • Exam Name: Developing AI Apps and Agents on Azure (AI-103日本語版)
  • Updated: Sep 04, 2026
  • Q & A: 159 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $139.98  $89.99
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Microsoft AI-103日本語 dumps - Testing Engine

AI-103日本語 Testing Engine
  • Exam Code: AI-103日本語
  • Exam Name: Developing AI Apps and Agents on Azure (AI-103日本語版)
  • Updated: Sep 04, 2026
  • Q & A: 159 Questions and Answers
  • Software Price: $69.99
  • Testing Engine

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Microsoft AI-103日本語 Exam Syllabus Topics:

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

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

Question 1

あなたは、短い製品プロモーションビデオを生成するMicrosoft Foundryプロジェクトを持っています。
いくつかの動画が承認された後、審査員は一部の動画の右上隅に小さな透かしが入っていることに気づく。
動画を再生成せずにウォーターマークを削除する必要があります。
あなたはどうすべきでしょうか?

A. 動画の該当部分にマスクベースのインペインティング編集を適用します。
B. 元のプロンプトを修正して透かしを除外します。
C. サイズパラメータを使用してビデオをトリミングします。
D. ガイダンススケールを拡大します。


Question 2

ホットスポットに関する質問
あなたは、顧客からのコメントを収集し、公開フォーラムに投稿するPythonアプリケーションを持っています。
Azure AI Content Safetyにテキストコメントを送信し、応答から自傷行為の深刻度を返す必要があります。
コードをどのように完成させればよいでしょうか?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。


Question 3

あなたは、Azure AI を使用してユーザーが性的に露骨な画像を共有することを防止する画像共有アプリを開発しています。
不適切な画像が正しく識別され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でなければなりません。
何を使うべきでしょうか?

A. Azure AI Studio
B. Azure AI Vision の Vision Studio
C. ビジュアルスタジオ
D. Azure AI Content Safety Studio


Question 4

あなたは、Microsoft Foundry で、検索拡張生成 (RAG) チャット アプリの評価を構成する予定です。
現実性、関連性、有害コンテンツのカテゴリごとにスコアを提供する必要があります。
どの2つの評価カテゴリーを使用できますか?正解はそれぞれ完全な解答を示しています。
注:正解ごとに1ポイントが加算されます。

A. AI品質(自然言語処理)指標
B. リスクと安全性の指標
C. AI品質(AI支援)指標
D. 流暢性評価ツール
E. 類似性評価器


Question 5

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. Azure AI開発者
C. Foundryアカウント所有者
D. 鋳造所ユーザー


Solutions:

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

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