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所在平台: Udemy |
课程主页: https://www.udemy.com/course/snowpro-advanced-architect-practice-sets/
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课程名称：Snowflake SnowPro高级架构师：实战练习 概述：本课程于2024年11月11日最后更新，新增了额外问题。课程包含3套练习测试，旨在帮助学员为架构师认证做准备，并识别改进领域。问题涵盖以下领域： 领域 1.0：账户与安全 1.1 根据业务需求设计Snowflake账户和数据库策略。 1.2 设计符合数据安全、隐私、合规和治理要求的架构。 1.3 概述Snowflake安全原则，并识别应应用的使用案例。 领域 2.0：Snowflake架构 2.1 概述在Snowflake环境中各种数据模型的优缺点。 2.2 根据不同使用案例设计数据共享解决方案。 2.3 创建支持开发生命周期及工作负载要求的架构解决方案。 2.4 针对特定场景，概述上述对象在Snowflake对象层级中的存在方式及该层级对架构的影响。 2.5 确定Snowflake中的适当数据恢复解决方案及数据恢复方法。 领域 3.0：数据工程 3.1 确定适合业务需求的数据加载或卸载解决方案。 3.2 概述Snowflake生态系统中的关键工具及其与Snowflake的交互。 3.3 确定满足业务需求的合适数据转换解决方案。 领域 4.0：性能优化 4.1 概述性能工具、最佳实践及其应用场景。 4.2 排查现有架构中的性能问题。 目标受众：具备2年以上Snowflake架构师实际工作经验的专业人士。合格候选人可能还具备以下条件： 1. SQL及SQL分析的实践经验 2. 构建复杂ETL/ELT管道的经验 3. 实施安全和合规要求的经验 4. 采用不同数据建模技术的经验 具有SQL以外的编码经验或DevOps/DataOps设计经验者优先。 考试对象： - 解决方案架构师 - 数据库架构师 - 系统架构师 推荐：强烈建议仔细阅读Snowflake提供的学习指南，该指南将显示考试涵盖的Snowflake主题和子主题。课程还将提供额外资源，包括视频、文档、博客和/或练习，帮助学员理解Snowflake架构。学习指南预计需要10-13小时完成。
The course has been last updated in 11th Nov '24 with bonus questions.The course contains 3 practice tests that will help you prepare and identify areas of improvement for the Architect certification. The questions are from the following domain:Domain 1.0: Accounts and Security1.1 Design a Snowflake account and database strategy, based on business requirements.1.2 Design an architecture that meets data security, privacy, compliance, and governance requirements.1.3 Outline Snowflake security principles and identify use cases where they should be applied.Domain 2.0: Snowflake Architecture2.1 Outline the benefits and limitations of various data models in a Snowflake environment.2.2 Design data sharing solutions, based on different use cases.2.3 Create architecture solutions that support Development Lifecycles as well as workload requirements.2.4 Given a scenario, outline how objects exist within the Snowflake Object hierarchy and how the hierarchy impacts an architecture.2.5 Determine the appropriate data recovery solution in Snowflake and how data can be restored.Domain 3.0: Data Engineering3.1 Determine the appropriate data loading or data unloading solution to meet business needs.3.2 Outline key tools in Snowflake's ecosystem and how they interact with Snowflake.3.3 Determine the appropriate data transformation solution to meet business needs.Domain 4.0: Performance Optimization4.1 Outline performance tools, best practices, and appropriate scenarios where they should be applied.4.2 Troubleshoot performance issues with existing architectures.Target Audience: 2+ years of practical experience with Snowflake as an Architect in a production environment. In addition, successful candidates may have:1. Hands-on expertise with SQL and SQL analytics 2. Experience building out a complex ETL/ELT pipeline3. Experience implementing security and compliance requirements 4. Working with different data modeling techniques. Having coding experience outside of SQL and DevOps/DataOps design experience is a plus. This exam is designed for: ● Solution Architects ● Database Architects ● System Architects Recommendation:Would highly recommend to go through the study guide thoroughly that is provided by Snowflake. The guide will show the Snowflake topics and subtopics covered on the exam. There will be additional resources consisting of videos, documentation, blogs, and/or exercises to help you understand architecting on Snowflake. Estimated length of study guide: 10 - 13 hours
