What You Need to Know Before
You Start

Starts 3 July 2025 12:39

Ends 3 July 2025

00 Days
00 Hours
00 Minutes
00 Seconds
course image

Microsoft DP-600 prep: Fabric Analytics Engineer Associate

Learn advanced DAX skills, lakehouses, warehouses, SQL/KQL code. Helps with APL-3008, 3009, 3010 Microsoft Applied Skill
via Udemy

4123 Courses


18 hours 2 minutes

Optional upgrade avallable

Not Specified

Progress at your own speed

Paid Course

Optional upgrade avallable

Overview

This course covers the content required for the DP-600 "Fabric Analytics Engineer Associate" certification exam.

Syllabus

  • Introduction to Microsoft Fabric Analytics
  • Overview of Microsoft Fabric
    Key features and benefits
    Role of a Fabric Analytics Engineer
  • Understanding Fabric Data Services
  • Data ingestion and integration
    Working with data lakes and data warehouses
    Managing data streams and events
  • Designing and Implementing Data Models
  • Creating efficient data models
    Utilizing Power BI for data visualization
    Optimizing query performance
  • Advanced Analytics with Microsoft Fabric
  • Implementing machine learning models
    Utilizing AI capabilities
    Leveraging analytics tools within Fabric
  • Security and Compliance
  • Data security best practices
    Implementing role-based access control
    Ensuring compliance with regulations
  • Performance Tuning and Optimization
  • Monitoring and troubleshooting performance issues
    Enhancing data processing speeds
    Using performance monitoring tools
  • Automating Tasks with Fabric
  • Implementing automations with Data Factory
    Utilizing Power Automate for workflows
    Streamlining data management processes
  • Exam Preparation and Strategies
  • Understanding the DP-600 exam structure
    Study tips and resources
    Practice exams and review sessions
  • Final Project
  • Real-world case study analysis
    Hands-on project implementation
    Presentation and feedback session

Taught by

Phillip Burton • 800,000+ students so far and I Do Data Limited


Subjects

Programming