Overview

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.

Skills

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