Microsoft Fabric Exam Guidance

1. Identify the Right Certification

Microsoft has not yet released an official Microsoft Fabric certification, but you should look for:

DP-600 (Fabric Analytics Engineer Associate) (Expected to be released in 2024)

DP-500 (Azure Enterprise Data Analyst) (Covers Power BI, which integrates with Fabric)

DP-203 (Data Engineering on Azure) (Good for Fabric’s Data Engineering aspects)

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2. Key Microsoft Fabric Topics to Study

Since Fabric combines multiple services (Power BI, Synapse, Data Factory, etc.), focus on:

A. Lakehouse & Delta Tables

Understanding OneLake as the storage layer

Working with Delta Tables

Using Shortcuts to access data

Data ingestion methods (Streaming, Batch)

B. Data Engineering & Dataflows

Setting up Data Pipelines (Dataflows Gen2, Data Factory)

Using Notebooks (PySpark, SQL, SparkSQL) in Fabric

Optimizing ETL & ELT processes in Fabric

C. Power BI & Reporting

Building Direct Lake Mode reports in Power BI

Managing Semantic Models (Dataset management)

Implementing Row-Level Security (RLS) & Role-Based Access Control (RBAC)

D. Real-Time & AI Workloads

Using Eventstream for real-time data ingestion

Applying Machine Learning models in Fabric Notebooks

Integration with Azure AI & Copilot

E. Security & Governance

Configuring Fabric Workspaces & Permissions

Implementing Data Governance (Purview, Sensitivity Labels)

Managing Cost Optimization & Capacity Planning

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3. Hands-On Practice

Since you’re already using Fabric, focus on:

✅ Creating and managing Lakehouses, Pipelines, and Semantic Models

✅ Writing PySpark & SQL Notebooks for transformations

✅ Publishing reports using Direct Lake mode

✅ Exploring Microsoft Learn Fabric modules

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4. Exam Resources

Microsoft Learn: Microsoft Fabric Documentation

Practice Labs: Set up Fabric Trial Capacity

YouTube & Blogs: Follow experts like Guy in a Cube, SQLBI, and Data Platform Summit

Microsoft Fabric Community: Fabric Community