VNode ITeSBook

Program Outline

DP-600T00DataAdvancedFabric

Microsoft Fabric Analytics Engineer

This course covers methods and practices for implementing and managing enterprise-scale data analytics solutions using Microsoft Fabric. Students will learn how to use Fabric dataflows, pipelines, and notebooks to develop analytics assets such as semantic models, data warehouses, and lakehouses.  This course is designed for experienced data professionals skilled at data preparation, modeling, analysis, and visualization, such as the PL-300: Power BI Data Analyst certification.

Role-Based Certification PrepTrack: Microsoft Certified: Fabric Analytics Engineer AssociateOfficial Source: Microsoft Learn

Delivery

Virtual, On-site, or Hybrid

Duration

4 days

Product

Fabric

Role

Data Analyst

Lab-Based DeliveryCustomizable for TeamsOfficially Aligned: Microsoft Learn
Enterprise Track

Best Fit

Data AnalystData AnalyticsCertification ReadinessTailored Team Delivery

Audience Profile

Who This Program Is For

The primary audience for this course is data professionals with experience in data modeling and analytics. DP-600 is designed for professionals who want to use Microsoft Fabric to create and deploy enterprise-scale data analytics solutions. Learners should have prior experience with one of the following programming languages: Structured Query Language (SQL), Kusto Query Language (KQL), or Data Analysis Expressions (DAX).

Overview

Program Summary

As a candidate for this certification, you should have subject matter expertise in designing, creating, and managing analytical assets, such as semantic models, warehouses, or lakehouses.

Course Outline

Complete Module Sequence

Review the full module sequence for this program, including the primary topic coverage in each module where available.

1

Module 1

Get started with Microsoft Fabric

+

Explore how to implement data analytics solutions on a single platform with Microsoft Fabric. Integrate, transform, and store data to train AI models and create insightful reports.

  • Introduction to end-to-end analytics using Microsoft Fabric
  • Get started with lakehouses in Microsoft Fabric
  • Get started with data warehouses in Microsoft Fabric
  • Get started with Real-Time Intelligence in Microsoft Fabric
  • Get started with data science in Microsoft Fabric
  • Get started with SQL Database in Microsoft Fabric
  • Design semantic models for scale in Microsoft Fabric
  • Understand Microsoft Fabric IQ fundamentals
2

Module 2

Implement a data warehouse with Microsoft Fabric

+

Explore the data warehousing process and learn how to load, monitor, secure, and query a warehouse in Microsoft Fabric. (DP-602T00)

  • Introduction to end-to-end analytics using Microsoft Fabric
  • Get started with data warehouses in Microsoft Fabric
  • Load data into a Microsoft Fabric data warehouse
  • Query a data warehouse in Microsoft Fabric
  • Get started with Copilot in Microsoft Fabric for Data Warehouse
  • Monitor a Microsoft Fabric data warehouse
  • Secure a Microsoft Fabric data warehouse
3

Module 3

Work with semantic models in Microsoft Fabric

+

Designing reports for enterprise scale requires more than just connecting to data. Understanding semantic models and strategies for scalability and lifecycle management are key to a successful enterprise implementation. This learning path helps you prepare for the Fabric Analytics Engineer Certification.

  • Create DAX calculations in semantic models
  • Design scalable semantic models
  • Optimize a model for performance in Power BI
  • Create and manage Power BI assets
  • Enforce Power BI model security
4

Module 4

Administer and govern Microsoft Fabric

+

Microsoft Fabric Administration involves securing and governing data, administering the environment, and monitoring optimizing performance for efficient and compliant data management.

  • Administer a Microsoft Fabric environment
  • Secure data access in Microsoft Fabric
  • Secure a Microsoft Fabric data warehouse
  • Govern data in Microsoft Fabric with Purview

Coverage Areas

Topic Coverage

Coverage Item 1

Maintain a data analytics solution

Coverage Item 2

Prepare data

Coverage Item 3

Implement and manage semantic models

Customization

Adapt This Program for Your Team

We can adapt this program around your team structure, platform priorities, delivery goals, and the scenarios your people need to work through in practice.

  • Align labs to your Microsoft tenant and workload scenarios
  • Add readiness checks and exam preparation reviews
  • Extend delivery with role-specific implementation workshops

Engagement Confidence

A direct, founder-led review before scope, delivery model, and commercial terms are proposed.

Response window

< 1 business day

Client coverage

India + global teams

Engagement format

Virtual, on-site, hybrid