Understand the certification
认证概述
注意：AI-100 已于 2021 年 6 月 30 日正式退役，不再接受新的考试报名，已被 AI-102（Azure AI Engineer Associate）取代。 本题库作为历史练习题库保留，部分内容对备考 AI-102 仍有参考价值，因为基础的 Azure Cognitive Services 概念和 Bot Framework 设计模式在 AI-102 中仍有涵盖。
AI-100 原考试内容领域（历史参考）
AI-100 原考试涵盖以下内容，这些知识点在 AI-102 中仍有相关性：
- Azure Cognitive Services：计算机视觉（Computer Vision API、Face API、Custom Vision）、语音服务（Speech-to-Text/Text-to-Speech/Speaker Recognition）、语言服务（LUIS、Text Analytics、Translator）、决策服务（Content Moderator、Personalizer）
- Azure Bot Service 与 Bot Framework：Bot Framework SDK（C#/Node.js）、Dialogs 设计模式、QnA Maker 集成、Bot Framework Composer
- Azure Cognitive Search：索引器配置、技能集（Skillset）与 AI 扩充管道
- AI 解决方案架构设计：服务选型、数据存储方案、部署与监控策略
适合人群
- 已持有 AI-100 认证、希望了解与 AI-102 差异的专业人员
- 备考 AI-102 的学习者，希望通过历史题库强化 Azure Cognitive Services 基础
Exam at a glance
- Exam code
- AI-100
- Provider
- Azure
- Format
- single-choice / multiple-choice
- Language
- English
- Validity
- 3 years
Skills in focus
Learning outcomes
- 深入理解 Azure Cognitive Services 各类 API 的功能与适用场景
- 掌握 Azure Bot Service 和 Bot Framework 的核心设计模式
- 了解 AI-100 与 AI-102 的知识差异，为 AI-102 备考打好基础
- 具备 Azure AI 解决方案设计与实施的基础能力
Who this is for
- 已持有 AI-100 认证、希望了解与 AI-102 差异的 Azure AI 专业人员
- 备考 AI-102 的学习者，希望通过历史题库强化 Azure Cognitive Services 基础知识
- 希望深入了解 Azure Bot Service 与 Bot Framework 的 AI 开发工程师
Before you start
- 了解 Azure 基本服务（建议先完成 AZ-900 Azure 基础认证）
- 熟悉 Python 或 C# 编程，了解 REST API 和 JSON 格式
- 注意：AI-100 考试已退役，新考生请直接备考 AI-102
Your learning path
3 chapters
Plan your preparation
- Learning hours
- 26h
- With relevant experience
- 4-6 weeks
- Starting from scratch
- 8-10 weeks
- Daily study
- 1-2h
Included in your preparation
- 130+ 道历史练习题，覆盖 Azure Cognitive Services 核心知识
- 题目含详细解析，帮助理解 AI-100 与 AI-102 的知识传承
- AI 智能辅导识别薄弱知识点
- 对备考 AI-102 的 Azure Cognitive Services 部分有参考价值
Preparation tips
- 65 题 90 分钟，平均每题 1 分钟，合理分配时间
- 及格分 70/100，不确定的题先标记跳过，回头再做
- 排除法非常有用 — 先排掉明显错误的选项，剩下的再分析
Common mistakes
- 没有读完所有选项就选答案 — 题目经常有"最佳"答案和"正确但不最佳"的干扰项
- 备考只刷题不理解原理 — 考试场景题需要理解底层概念
- 忽略时间管理 — 在难题上卡太久，导致后面简单题没时间做
Before you register
Is the AI-100 exam still available for registration?
AI-100 was officially retired on June 30, 2021, and no longer accepts new exam registrations. It has been replaced by AI-102 (Azure AI Engineer Associate). If you already hold the AI-100 certification, it remains valid until expiration, but renewal requires passing the AI-102 exam. New candidates should prepare for AI-102 directly.
What are the differences between AI-100 and AI-102?
AI-100 focused on earlier Azure Cognitive Services and Bot Framework, while AI-102 adds Azure OpenAI Service, generative AI, RAG pipelines, and more. AI-102 has a broader exam scope with questions closer to current AI engineering practices. The AI-100 question bank still has reference value since foundational concepts (like Cognitive Services API calls and Bot design patterns) are still covered in AI-102.
Do I need to take AI-102 if I already hold AI-100 certification?
If your AI-100 certification has expired or is about to expire, you need to pass AI-102 to renew or re-obtain the Azure AI Engineer Associate certification. Even if your certification is still valid, studying AI-102 content is recommended to keep up with the latest Azure AI developments, especially Azure OpenAI and generative AI knowledge.
Are these AI-100 practice questions helpful for AI-102 preparation?
They are somewhat helpful. The 130+ AI-100 practice questions cover Azure Cognitive Services fundamentals, Bot Framework, and AI solution design, which still account for a significant portion of AI-102. However, AI-102 adds Azure OpenAI, Document Intelligence, and RAG-related content, so studying the AI-102-specific question bank is also recommended.
What exam domains do the AI-100 practice questions cover?
The practice questions cover Azure Cognitive Services (Vision, Speech, Language, Decision), Azure Bot Service and Bot Framework, AI solution architecture design, data storage and processing solutions, and AI model deployment and monitoring. There are 130+ questions in single-choice and multiple-choice formats, all with detailed explanations.
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