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所在平台: Udemy |
课程主页: https://www.udemy.com/course/gcp-professional-cloud-database-engineer-exam-mini-practice/
课程评论：没有评论
课程名称：GCP专业云数据库工程师考试迷你练习 课程概述：该课程提供了一系列迷你练习题，涵盖了GCP数据库工程师考试的主要领域，主要包括以下主题： 1. 评估不同数据库配置的性能与成本权衡/为Google Cloud管理的数据库规划升级。 2. 在Google Cloud中提供高可用性数据库解决方案/设计可扩展且高度可用的云数据库解决方案。 3. 确定适用于特定场景的数据库迁移工具/根据性能需求评估数据库计算和存储的规模。 4. 规划和执行数据库迁移，包括备份计划和模式转换/定期测试高可用性和灾难恢复策略。 5. 区分SQL与NoSQL的商业需求/评估多区域、区域和区域数据库部署策略之间的权衡。 6. 应用概念以在Google Cloud中实施高度可扩展和可用的数据库/根据应用可用性需求定义维护窗口和通知。 7. 分析相关变量以进行数据库容量和使用规划/设计可扩展、高可用且安全的数据库。 8. 区分托管和非托管数据库服务/分析在Google Cloud中运行数据库解决方案的成本。 9. 从Google Cloud反向复制到源/评估Google Cloud上的适当数据库解决方案。 10. 管理数据库用户，包括身份验证和访问/持续评估和优化数据库解决方案的运行成本。 11. 为恢复时间目标（RTO）和恢复点目标（RPO）进行设计/评估慢查询和数据库锁定，并识别缺失的索引。 12. 在Google Cloud中部署可扩展和高度可用的数据库/确定数据库连接和访问管理的考虑事项。 13. 自动化数据库实例配置/确定应用程序将如何连接到数据库。 14. 证明使用会话池服务的理由/在特定场景下，根据当前环境工作负载指标和未来需求进行解决方案规模评估。 该课程旨在帮助学员全面掌握GCP数据库与云解决方案的知识，为GCP专业云数据库工程师考试做好准备。
This give you mini questions covers main field of GCP database engineer exam, covers following topics: Topic 1: Evaluate performance and cost trade offs of different database configurations/ Plan database upgrades for Google Cloud-managed databasesTopic 2: Provision high availability database solutions in Google Cloud/ Design scalable and highly available cloud database solutionsTopic 3: Determine the correct database migration tools for a given scenario/ Size database compute and storage based on performance requirementsTopic 4: Plan and perform database migration, including fallback plans and schema conversion/ Test high availability and disaster recovery strategies periodicallyTopic 5: Distinguish between SQL and NoSQL business requirements/ Evaluate tradeoffs between multi-region, region, and zonal database deployment strategiesTopic 6: Apply concepts to implement highly scalable and available databases in Google Cloud/ Given a scenario, define maintenance windows and notifications based on application availability requirementsTopic 7: Analyze relevant variables to perform database capacity and usage planning/ Design scalable, highly available, and secure databasesTopic 8: Differentiate between managed and unmanaged database services/ Analyze the cost of running database solutions in Google CloudTopic 9: Reverse replication from Google Cloud to source/ Evaluate appropriate database solutions on Google CloudTopic 10: Manage database users, including authentication and access/ Continuously assess and optimize the cost of running a database solutionTopic 11: Design for recovery time objective (RTO) and recovery point objective (RPO)/ Assess slow running queries and database locking and identify missing indexesTopic 12: Deploy scalable and highly available databases in Google Cloud/ Determine database connectivity and access management considerationsTopic 13: Automate database instance provisioning/ Determine how applications will connect to the databaseTopic 14: Justify the use of session pooler services/ Given a scenario, perform solution sizing based on current environment workload metrics and future requirements
