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所在平台: Udemy |
课程主页: https://www.udemy.com/course/microsoft-dp-700-data-engineering/
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课程名称：微软 DP-700：数据工程 MS Fabric 实践测试 课程概述： 本课程为准备微软 DP-700 考试的学员提供全面的实践测试系列，专注于使用 Microsoft Fabric 的数据工程解决方案。课程旨在帮助学员掌握通过 DP-700 认证所需的重要技能，推动在数据工程领域的职业发展。实践测试涵盖 DP-700 的所有关键主题，包括数据加载模式、编排流程、数据摄取和转换、安全性、优化及分析等。学员将探索 SQL、PySpark 和 Kusto 查询语言 (KQL) 等工具，学习如何在 Microsoft Fabric 中构建、安全和优化分析解决方案。 课程内容概述： - **实践测试 1：数据加载模式和架构** - 评估数据加载策略和架构设计的知识，包括 ETL 过程、数据存储和检索、数据湖、数据仓库及关系数据库的架构基础。 - **实践测试 2：数据摄取和转换** - 测试使用 SQL、PySpark 和 KQL 进行数据摄取和转换的能力，包括数据清洗、操作和转换，以及优化数据工作流程的技巧。 - **实践测试 3：编排流程和自动化** - 评估在数据工程工作流中关于编排和自动化的理解，包括如何调度和触发数据摄取过程、监控数据管道以及实现错误处理和日志记录。 - **实践测试 4：安全性和数据治理** - 测试在数据分析解决方案中安全和管理数据的知识，涵盖数据安全实践、数据访问控制、治理政策及合规性。 - **实践测试 5：优化、监控和分析解决方案** - 评估在优化分析解决方案和监控数据工作流程方面的技能，学习性能调优、数据问题排查及与分析工程师和架构师合作提升解决方案的能力。 每个实践测试包含 30 道题目，结合选择题和多选题，反映真实考试场景，并提供详细的答案解析。这意味着学员不仅能进行练习，更能深入理解每道题背后的概念。 本课程非常适合数据专业人员、即将进入数据工程领域的求职者以及准备通过 DP-700 考试的学员。
Get ready to excel in the Microsoft DP-700 exam with our comprehensive practice test series focused on Data Engineering Solutions Using Microsoft Fabric. This course is designed for anyone looking to master the essential skills needed to pass the DP-700 certification and advance in data engineering.Our practice tests cover all the critical topics for the DP-700, including data loading patterns, orchestration processes, data ingestion and transformation, security, optimisation, and analytics. You'll explore tools like SQL, PySpark, and Kusto Query Language (KQL) as you learn how to build, secure, and optimise analytics solutions within Microsoft Fabric.With five practice tests containing 30 questions each, this course offers a range of multiple-choice and multiple-select questions that reflect real exam scenarios with detailed explanations provided for every answer. This means you won't just practice-you'll learn and understand the concepts behind each question.Course OutlinePractice Test 1: Data Loading Patterns and Architecture for Microsoft DP-700Objective: Assess knowledge of data loading strategies and architecture design.Data loading patterns and ETL (Extract, Transform, Load) processesData storage and retrieval in Microsoft FabricArchitecture fundamentals: data lakes, data warehouses, and relational databasesDesigning data storage solutions for analyticsMicrosoft Fabric components for data ingestion and architecturePractice Test 2: Data Ingestion and Transformation for Microsoft DP-700Objective: Test proficiency in data ingestion and transformation using SQL, PySpark, and KQL.Data ingestion techniques in Microsoft FabricTransforming and cleaning data with SQLData manipulation and transformation using PySparkQuerying and transforming data with Kusto Query Language (KQL)Optimizing data workflows for efficiency and scalabilityPractice Test 3: Orchestration Processes and Automation for Microsoft DP-700Objective: Evaluate understanding of orchestration and automation within data engineering workflows.Orchestrating data pipelines in Microsoft FabricAutomation techniques for data workflowsScheduling and triggering data ingestion processesMonitoring and managing data pipelinesImplementing error handling and loggingPractice Test 4: Security and Data Governance for Microsoft DP-700Objective: Test knowledge of securing and managing data analytics solutions.Data security practices in Microsoft FabricManaging data access controls and permissionsImplementing data governance policiesEnsuring compliance and data privacyMonitoring and auditing access to data resourcesPractice Test 5: Optimization, Monitoring, and Analytics Solutions for Microsoft DP-700Objective: Assess skills in optimizing analytics solutions and monitoring data workflows.Techniques for performance tuning and query optimizationMonitoring data solutions and analytics workflowsTroubleshooting data issues and workflow bottlenecksLeveraging analytics for reporting and insightsCollaborating with analytics engineers and architects to enhance solutionsThe questions test your knowledge in real-world data engineering tasks, such as designing data architectures, managing data security, and monitoring and optimizing analytics solutions. Our course is ideal for data professionals, aspiring data engineers, and anyone preparing to Ace Exam DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric (beta).
