|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/databricks-data-engineer-professional-3-practice-exams-2024/
课程评论：没有评论
课程名称：Databricks 数据工程师专业：2024年3个模拟考试 概述：如果你正在准备 Databricks 数据工程师专业认证考试，那么你来对地方了！我们提供三套全面的模拟测试，每套都有详细的解析，以帮助你全面准备真实考试。这些模拟测试涵盖了广泛的考试主题，包括： 1. 数据管理解决方案 2. 湖仓架构：理解铜/银/金架构，包括表格、视图和物理布局。 3. 数据建模概念：学习约束、查找表和慢变维度。 4. 数据处理流水线 - 批处理 ETL 流水线：构建和优化批处理 ETL 流水线。 - 增量 ETL 流水线：开发增量处理数据的流水线。 - 数据去重：实施数据去重策略。 - 变更数据捕获 (CDC)：有效传播变更。 - 工作负载优化：优化数据处理工作负载的技术。 5. Databricks 平台和工具 - Databricks CLI：使用 CLI 部署基于笔记本的工作流。 - Databricks REST API：配置和触发生产流水线。 6. 生产流水线最佳实践 - 安全与治理：使用 ACL 管理集群和作业权限，创建动态视图以进行访问控制，确保按照 GDPR 和 CCPA 合规安全删除数据。 7. 监控与日志 - 警报和存储配置：为监控生产作业设置警报和存储。 - 指标日志记录：记录和分析日志指标。 - 调试：调试生产作业中错误的技术。 8. 代码管理、测试与部署最佳实践：了解相对导入、作业调度和作业编排。 考试结构和详情： - 每个模拟考试时长：90分钟。 - 每个考试包含45道多项选择题。 通过完成这些模拟考试，你将为参加 Databricks 数据工程师专业认证考试做好充分准备。祝你学习顺利，考试成功！
If you're gearing up for the Databricks Data Engineer Professional certification exam, you've come to the perfect place! We provide three extensive practice tests, each with in-depth explanations, to thoroughly prepare you for the real exam.These practice tests cover a wide range of exam topics, including:Data Management SolutionsLakehouse Architecture: Understand the bronze/silver/gold architecture, including tables, views, and physical layout.Data Modeling Concepts: Learn about constraints, lookup tables, and slowly changing dimensions.Data Processing PipelinesBatch-Processed ETL Pipelines: Build and optimize batch ETL pipelines.Incremental ETL Pipelines: Develop pipelines that process data incrementally.Data Deduplication: Implement strategies for deduplicating data.Change Data Capture (CDC): Use CDC to propagate changes effectively.Workload Optimization: Techniques to optimize data processing workloads.Databricks Platform and ToolsDatabricks CLI: Deploy notebook-based workflows using the CLI.Databricks REST API: Configure and trigger production pipelines with the REST API.Production Pipeline Best PracticesSecurity and Governance: Manage clusters and job permissions using ACLs, create dynamic views for access control, and securely delete data in compliance with GDPR and CCPA.Monitoring and LoggingAlerting and Storage Configuration: Set up alerting and storage for monitoring production jobs.Metrics Logging: Record and analyze logged metrics.Debugging: Techniques for debugging errors in production jobs.Code Management, Testing, and DeploymentBest Practices: Learn about relative imports, scheduling jobs, and job orchestration.Exam Structure and DetailsDuration: Each practice exam is 90 minutes long.Questions: Each exam contains 45 multiple-choice questions, distributed as follows:By completing these practice exams, you will be thoroughly prepared to take the Databricks Data Engineer Professional certification exam. Good luck with your studies and the exam!
