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Microsoft AI-103日本語 Exam Syllabus Topics:

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

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

Question #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. エージェント
B. プラグイン
C. 種子
D. 関数

Reveal Solution Discussion 0

Correct Answer: B 🗳️