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Microsoft AI-103日本語 Exam Syllabus Topics:

Section	Objectives
Topic 1: Implement Computer Vision Solutions	- OCR and document intelligence - Image classification and object detection
Topic 2: Plan and Manage Azure AI Solutions	- Responsible AI principles and governance - Azure AI resource provisioning and configuration - Model selection and lifecycle management
Topic 3: Implement Natural Language Processing Solutions	- Text analytics and summarization - Translation and multilingual support - Language understanding and intent recognition
Topic 4: Knowledge Mining and Information Retrieval	- RAG (Retrieval Augmented Generation) patterns - Azure AI Search configuration - Indexing and semantic search
Topic 5: Develop Generative AI Applications and Agents	- AI agents architecture 1. Memory and state management 2. Agent orchestration and workflows - Azure OpenAI Service integration 1. Prompt engineering and prompt flow design 2. Function calling and tool use

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

Question #1

あなたは、大量のトラフィックを処理するチャットアプリを提供するMicrosoft Foundryプロジェクトを持っています。
ほとんどの問い合わせは簡単なよくある質問(FAQ)ですが、中には高度な論理的思考を必要とするものもあります。
複雑な質問に対する回答の質を低下させることなく、一般的な問い合わせに対するコストと遅延を削減する必要があります。
あなたはどうすべきでしょうか？

A. リクエストを異なるモデルにルーティングするモデルカスケードを使用します。
B. すべてのリクエストに対して max_tokens パラメータの値を増やします。
C. すべてのリクエストをより小さなモデルにルーティングします。
D. すべてのリクエストを最も能力の高いモデルにルーティングします。

Answer: A