December 2025
Intermediate to advanced
336 pages
3h 13m
Chinese
Content preview from Azure 数据基础 (Chinese Edition)
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第五部分：超越DP-900
本部分超越基础考试范畴，聚焦可持续、可扩展数据价值的战略赋能要素：治理体系、数据血统追溯、目录管理、负责任的AI集成以及性能与成本管控。它阐释了如何让规范的数据实践成为AI加速的倍增器而非瓶颈。
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第12章《高级Azure数据概念》综合阐述：治理框架体系、Microsoft Purview在目录管理+分类+数据血统中的作用、新兴AI辅助数据交互模式（LLMs与智能代理模式），以及前瞻性架构设计考量。
完成本部分学习后，您将能够阐明治理成熟度为何是可信赖AI的前提，解释血统如何支撑可审计性与指标可信度，并识别AI增强技术在哪些环节能加速——而非取代——数据专业人员的工作流程。
常见失败模式包括：在实施后才应用治理、基于未经整理的数据集启动AI试点、混淆原型模型能力与生产就绪性，以及在数据暴露量增长时低估合规义务。
考试关联性：此处概念认知可为高级认证（DP-300、DP-420、DP-500）及架构专项认证奠定基础。
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.