| 1 - How to create Microsoft Fabric Account.mkv | 7.8 MB | ||
| 1 - Microsoft-Fabric-Registration-Link.docx | 11.3 KB | ||
| 10 - Fact Table Dimension Table Data Model Handson Project 2.mkv | 170.6 MB | ||
| 11 - What is Data Warehouse Dynamic Management Views DMV Query Insights.mkv | 31.9 MB | ||
| 12 - Dynamic Management Views DMV Query Insights Handson Project 3.mkv | 71.7 MB | ||
| 13 - What is Data Consistency.mkv | 8.7 MB | ||
| 14 - Data Consistency Validation Handson Project 4.mkv | 45.5 MB | ||
| 14 - SQL-Queries.docx | 14.6 KB | ||
| 15 - What is Dynamic Data Masking Row Level Security Column Level Security.mkv | 21.6 MB | ||
| 16 - Dynamic Data Masking Row Level Column Level Security Handson Project 5.mkv | 31.3 MB | ||
| 16 - SQL-Queries.docx | 13.7 KB | ||
| 17 - What is Eventhouse Eventstream.mkv | 10.2 MB | ||
| 18 - Queries.docx | 12.1 KB | ||
| 18 - RealTime Stock Data Ingestion Analysis using Eventstream Handson Project 6.mkv | 59 MB | ||
| 19 - What is Notebook and Dataframe.mkv | 16 MB | ||
| 2 - What is SQL Query Editor Visual Query Editor.mkv | 17.3 MB | ||
| 20 - Diabetic Patient Data Analysis Model Training Handson Project 7.mkv | 178.7 MB | ||
| 20 - Notebook-Commands.docx | 15.6 KB | ||
| 21 - Master Data Visualizations using Data Science Notebook Handson Project 8.mkv | 147.5 MB | ||
| 21 - Notebook-Code.docx | 18.7 KB | ||
| 22 - Project Tracking Issue Management Handson Project 9.mkv | 40.5 MB | ||
| 22 - SQL-Queries.docx | 12.9 KB | ||
| 23 - What is Deployment Pipeline.mkv | 16.8 MB | ||
| 24 - CICD Deployment Pipeline Handson Project 10.mkv | 64.3 MB | ||
| 25 - What is API for GraphQL.mkv | 13.6 MB | ||
| 26 - API for GraphQL Handson Project 11.mkv | 32.7 MB | ||
| 26 - GraphQL-Query.docx | 11.8 KB | ||
| 27 - Dynamic-Data-Masking-Architecture-Diagram.png | 160.1 KB | ||
| 27 - Dynamic-Data-Masking-Query.docx | 13.6 KB | ||
| 27 - Implementing Dynamic Data Masking in Azure SQL Database Handson Project 12.mkv | 131 MB | ||
| 28 - Kusto Query Language KQL basics using Azure Data Explorer Handson Project 13.mkv | 210.4 MB | ||
| 29 - What is SCD Type 1 SCD Type 2.mkv | 15.7 MB | ||
| 3 - What is Delta Lake Table.mkv | 12.4 MB | ||
| 30 - SCD Type 1 SCD Type 2 Handson Project 14.mkv | 56 MB | ||
| 30 - SCD-Query.docx | 15.4 KB | ||
| 31 - DP600 Fabric Analytics Engineer Associate Practice Test1.mkv | 26.6 MB | ||
| 32 - DP600 Fabric Analytics Engineer Associate Practice Test2.mkv | 64.7 MB | ||
| 33 - DP600 Fabric Analytics Engineer Associate Practice Test3.mkv | 37.6 MB | ||
| 34 - DP600 Fabric Analytics Engineer Associate Practice Test4.mkv | 90 MB | ||
| 35 - DP600 Fabric Analytics Engineer Associate Practice Test5.mkv | 23.6 MB | ||
| 36 - DP600 Fabric Analytics Engineer Associate Practice Test6.mkv | 23.6 MB | ||
| 37 - DP600 Fabric Analytics Engineer Associate Practice Test7.mkv | 61.5 MB | ||
| 38 - DP600 Fabric Analytics Engineer Associate Practice Test8.mkv | 36.9 MB | ||
| 39 - DP600 Fabric Analytics Engineer Associate Practice Test9.mkv | 53.1 MB | ||
| 4 - Pyspark Dataframes.mkv | 18.3 MB | ||
| 40 - DP600 Fabric Analytics Engineer Associate Practice Test10.mkv | 87.1 MB | ||
| 41 - DP600 Fabric Analytics Engineer Associate Practice Test11.mkv | 88.3 MB | ||
| 42 - DP600 Fabric Analytics Engineer Associate Practice Test12.mkv | 8.8 MB | ||
| 43 - DP600 Fabric Analytics Engineer Associate Practice Test13.mkv | 147.1 MB | ||
| 44 - DP600 Fabric Analytics Engineer Associate Practice Test14.mkv | 108.5 MB | ||
| 45 - DP600 Fabric Analytics Engineer Associate Practice Test15.mkv | 78.3 MB | ||
| 5 - Commonly used Spark SQL Commands.mkv | 10.7 MB | ||
| 6 - Types of Analytics.mkv | 12.8 MB | ||
| 7 - What is Fabric Workspace Lakehouse SQL Analytics Endpoint.mkv | 15.3 MB | ||
| 8 - Fabric Workspace Lakehouse SQL Analytics Endpoint Handson Project 1.mkv | 96.1 MB | ||
| 9 - What is Fact Dimension Table Data Model.mkv | 12.2 MB | ||
| Architecture Diagram.png | 158.9 KB | ||
| Bonus Resources.txt | 102.4 B | ||
| Dimension & Fact Table Data.docx | 147.3 KB | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| HurricaneData.csv | 59.3 MB | ||
| KQL Queries.docx | 15.2 KB | ||
| SQL Queries.docx | 13.4 KB | ||
| SQL Query to query tables.docx | 12.3 KB | ||
| salesdataset.csv | 3.3 KB | ||
| ▲ 65 total files | |||
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
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