Dp-600: Microsoft Fabric Analytics Engineer Associate 2025
https://WebToolTip.com
Published 6/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.46 GB | Duration: 5h 46m
15+ REAL End-to-End Fabric Analytic Engineer Projects | 73+ High-Quality Practice Exam Questions with VIDEO Explanation!
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.
Requirements
Familiarity with basic SQL concepts like SELECT, JOIN, and WHERE clauses.
Awareness of data warehousing and analytics concepts.
Knowledge of Python basics
Prior exposure to Azure fundamentals