Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
7 Hour(s) 26 Minute(s)
Language
English
Taught by
Cloud Guru Amit
Rating
Course Overview
15+ REAL End-to-End Fabric Analytic Engineer Projects | 110+ High-Quality Practice Exam Question with VIDEO Explanation!
Looking to ace the DP-600 exam and gain practical, real-world experience with Microsoft Fabric? This course offers a complete hands-on journey designed around projects that reflect real IT industry scenarios using Microsoft Fabric's modern analytics stack.
Each module begins with theory-first learning—covering essential concepts like Fabric Workspace, Lakehouse architecture, SQL Analytics Endpoints, Delta Tables, PySpark DataFrames, Spark SQL, Visual Query Editors, Eventhouses, SCD Types, and more. Then, you’ll dive into realistic, guided labs that strengthen technical skills while preparing you for certification success.
End-to-End Hands-on Projects Included:
Project #1: Fabric Workspace, Lakehouse & SQL Analytics Endpoint Setup
Project #2: Designing Fact Tables, Dimension Tables & Data Models
Project #3: Performance Tuning with Dynamic Management Views (DMV) & Query Insights
Project #4: Validating Data Consistency Across Sources
Project #5: Implementing Dynamic Data Masking in Azure SQL Database
Project #6: Securing Data with Row-Level & Column-Level Security in Fabric
Project #7: Real-Time Stock Data Ingestion & Analysis Using Eventstream
Project #8: Diabetic Patient Data Analysis & Predictive Model Training
Project #9: Data Science Notebook for Mastering Visualizations
Project #10: Building a Project Tracking & Issue Management System
Project #11: CI/CD Deployment Pipeline for Fabric Analytics Solutions
Project #12: Creating & Consuming an API with GraphQL
Project #13: SCD Type 1 & SCD Type 2 Implementation in Fabric
Project #14: Azure SQL Server & Database Configuration with Data Masking
Project #15: Azure Data Explorer – Kusto Query Language (KQL) Hands-on Demo
You’ll also gain access to interactive practice tests with detailed video explanations for both correct and incorrect choices—rooted in Microsoft documentation and explained using strategic elimination techniques.
This is not just another course—it’s your launchpad to becoming a confident, job-ready Fabric Analytics Engineer, taught by Cloud Guru Amit. Get certified, get skilled, and get ahead.
Course Content
- 5 section(s)
- 96 lecture(s)
- Section 1 Maintaining a Data Analytics Solution
- Section 2 Preparing Data
- Section 3 Implementing & Managing Semantic Models
- Section 4 DP-600: Fabric Analytics Engineer Associate Theory & End-to-End Hands-on Project
- Section 5 DP-600: Fabric Analytics Engineer Associate Practice Test Questions
What You’ll Learn
- Build hands-on solutions using Fabric Workspace, Lakehouse, and SQL Analytics Endpoints.
- Design Fact & Dimension tables and create efficient Data Models for analytics.
- Analyze performance using Dynamic Management Views (DMVs) and Query Insights.
- Validate business data using Data Consistency checks in real-world scenarios.
- Implement Dynamic Data Masking, Row-Level & Column-Level Security in Fabric.
- Ingest and analyze real-time stock data using Eventstream and Eventhouse.
- Train machine learning models on diabetic patient data for predictive insights.
- Create advanced visualizations using Data Science Notebooks in Fabric.
- Manage project tracking, issues, and dashboards with Fabric tools.
- Develop CI/CD pipelines for continuous analytics deployment using Fabric.
- Build and query APIs using GraphQL for real-time analytics and integration.
- Implement Slowly Changing Dimensions (SCD) Type 1 and Type 2 in Lakehouse.
- Configure Dynamic Data Masking in Azure SQL for sensitive data protection.
- Create and manage Azure SQL Databases and Azure SQL Servers efficiently.
- Query and visualize big data using Kusto Query Language in Azure Explorer.
- Master SQL & Visual Query Editors to build and debug optimized queries.
- Understand Delta Lake Tables and their role in transactional data lakes.
- Work with PySpark DataFrames and Spark SQL to handle big data efficiently.
- Distinguish between types of analytics and apply appropriate techniques.
- Learn data warehousing principles and how Fabric fits into modern BI.
- Master use of notebooks, dataframes, and scripting for analytics modeling.
- Understand API architecture using GraphQL and implement it in Fabric.
- Deep dive into theory behind SCDs and implement use cases in the cloud.
- Practice with exam questions and understand Microsoft-backed answer logic.
Skills covered in this course
Reviews
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AAnkit Bhatt
Amazing explanation
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UUdemy User
Fantastic learning experience! The DP‑600 course is well‑structured, detailed, and perfectly aligned with the exam objectives. The hands‑on demos and clear teaching style helped me build strong confidence for the certification. Definitely deserves 5 stars.
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LLouis Smith
Impressive course for DP‑600 preparation. The content is clear, detailed, and perfectly aligned with the exam topics. The examples and explanations helped me understand even the more advanced areas. Definitely worth recommending.
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AAniket Das
A very well‑structured DP‑600 course. The instructor explained Microsoft Fabric, DAX, and data modeling concepts in a clear and practical way. The hands‑on exercises made a huge difference in my exam preparation. Excellent resource for anyone pursuing the certification.
