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所在平台: Udemy |
课程主页: https://www.udemy.com/course/pass-the-dp-600-certification-fabric-analytics-engineer/
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课程名称：Microsoft Fabric - DP-600 考试准备 - Fabric 分析 课程概述： 本课程精心设计，以涵盖 DP-600 考试的所有领域，确保学员充分理解并为获得 Microsoft 认证的 Fabric Analytics Engineer Associate 认证做好准备。课程提供详细的指导和每个主题的答案，重点关注关键考试领域和真实认证问题，旨在帮助学员在考试中获得超过93%的高分。 课程内容简介： 1. **规划、实施和管理数据分析解决方案（10-15%）** - 规划数据分析环境，包括识别解决方案需求、组件、功能和性能等。 - 选择数据网关类型，并创建自定义 Power BI 报告主题。 - 实施和管理数据分析环境，包括工作区和项目级访问控制、数据共享等。 2. **准备和提供数据（40-45%）** - 创建湖仓或仓库中的对象，使用数据管道、数据流或笔记本以获取数据。 - 实施文件分区，以优化分析工作负载。 - 转换数据及优化性能。 3. **实施和管理语义模型（20-25%）** - 设计和构建语义模型，包括选择存储模式和实现星型架构。 - 优化企业级语义模型，包括查询性能和报告视觉效果的改善。 4. **探索和分析数据（20-25%）** - 执行探索性分析，集成描述性和诊断分析。 - 使用 SQL 查询数据，使用最佳实践为 Fabric 湖仓进行查询。 通过本课程，您将为 DP-600 考试做好充分准备，成为 Microsoft 认证的 Fabric Analytics Engineer Associate。课程中融入了真实考试问题和实践场景，以确保学员能够获得高分并巩固专业知识。
This course is meticulously designed to cover every area of the DP-600 exam questions, ensuring a thorough understanding and preparation for the Microsoft Certified: Fabric Analytics Engineer Associate certification. The course provides detailed instruction and answers for each topic. Here's a breakdown of the course content with a focus on key exam areas and real certification questions, aimed at helping you achieve a score of over 93%.Plan, Implement, and Manage a Solution for Data Analytics (10-15%)Plan a Data Analytics Environment- Identify requirements for a solution, including components, features, performance, and capacity stock-keeping units (SKUs) - Example Question: How do you determine the appropriate SKUs for a Fabric Analytics solution?- Recommend settings in the Fabric admin portal - Example Question: What are the best practices for configuring settings in the Fabric admin portal?Choose a Data Gateway Type- Create a custom Power BI report theme - Example Question: How do you create and implement a custom Power BI report theme for your organization?Implement and Manage a Data Analytics Environment- Implement workspace and item-level access controls for Fabric items - Example Question: Describe the process of implementing access controls for Fabric workspaces.- Implement data sharing for workspaces, warehouses, and lakehouses - Example Question: What are the steps to share data across different Fabric workspaces?Manage Sensitivity Labels in Semantic Models and Lakehouses- Configure Fabric-enabled workspace settings - Example Question: How do you configure workspace settings to manage sensitivity labels?Manage Fabric Capacity- Manage the analytics development lifecycle - Example Question: Explain how to manage the analytics development lifecycle using Fabric capacity tools.Implement Version Control for a Workspace- Create and manage a Power BI Desktop project (.pbip) - Example Question: What are the best practices for version control in a Power BI Desktop project?Prepare and Serve Data (40-45%)Create Objects in a Lakehouse or Warehouse- Ingest data by using a data pipeline, dataflow, or notebook - Example Question: What are the methods for ingesting data into a lakehouse using a data pipeline?Implement File Partitioning for Analytics Workloads in a Lakehouse- Create views, functions, and stored procedures - Example Question: How do you implement file partitioning for optimizing analytics workloads?Enrich Data by Adding New Columns or Tables- Copy data by using a data pipeline, dataflow, or notebook - Example Question: Describe the process of copying data from a Fabric data source to a lakehouse.Transform Data- Implement a data cleansing process - Example Question: What are the key steps in a data cleansing process for a Fabric Analytics project?Implement a Star Schema for a Lakehouse or Warehouse- Implement bridge tables for a lakehouse or warehouse - Example Question: Explain how to design and implement a star schema for a lakehouse.Optimize Performance- Identify and resolve data loading performance bottlenecks - Example Question: What techniques can be used to optimize data loading performance in Fabric?Implement and Manage Semantic Models (20-25%)Design and Build Semantic Models- Choose a storage mode, including Direct Lake - Example Question: What are the considerations for selecting a storage mode for a semantic model?Implement a Star Schema for a Semantic Model- Write calculations that use DAX variables and functions - Example Question: How do you implement advanced DAX calculations for a star schema?Optimize Enterprise-Scale Semantic Models- Implement performance improvements in queries and report visuals - Example Question: Describe the methods to optimize a semantic model using DAX Studio and Tabular Editor 2.Explore and Analyze Data (20-25%)Perform Exploratory Analytics- Implement descriptive and diagnostic analytics - Example Question: How do you integrate descriptive and diagnostic analytics into a Power BI report?Profile Data- Query data by using SQL - Example Question: What are the best practices for querying a lakehouse in Fabric using SQL?By the end of this course, you'll be well-prepared to tackle the DP-600 exam and excel as a Microsoft Certified: Fabric Analytics Engineer Associate. Real exam questions and practice scenarios are integrated throughout the course to ensure you achieve a high score and solidify your expertise.
