Data Mozart

DP-500 Certification

Book DP-500 Training

DP-500 exam (Enterprise Data Analyst) covers a broad range of skills and tools – starting with Power BI advanced features and concepts, all the way to Azure Synapse Analytics and Microsoft Purview.

I’ve created this page with the intention to keep all the learning resources in one single place. I hope that everyone who’s preparing to take this exam will find the page useful and that will in the end help you master all the necessary skills to become a certified Enterprise Data Analyst.

Table of contents

Implement and manage a data analytics environment (25–30%)

Govern and administer a data analytics environment

  • Manage Power BI assets by using Azure Purview
  • Identify data sources in Azure by using Azure Purview
  • Recommend settings in the Power BI admin portal
  • Recommend a monitoring and auditing solution for a data analytics environment, including Power BI REST API and PowerShell cmdlets

Integrate an analytics platform into an existing IT infrastructure

  • Identify requirements for a solution, including features, performance, and licensing strategy
  • Configure and manage Power BI capacity
  • Recommend and configure an on-premises gateway in Power BI
  • Recommend and configure a Power BI tenant or workspace to integrate with Azure Data Lake Storage Gen2
  • Integrate an existing Power BI workspace into Azure Synapse Analytics

Manage the analytics development lifecycle

  • Commit code and artifacts to a source control repository in Azure Synapse Analytics
  • Recommend a deployment strategy for Power BI assets
  • Recommend a source control strategy for Power BI assets
  • Implement and manage deployment pipelines in Power BI
  • Perform impact analysis of downstream dependencies from dataflows and datasets
  • Recommend automation solutions for the analytics development lifecycle, including Power BI REST API and PowerShell cmdlets
  • Deploy and manage datasets by using the XMLA endpoint
  • Create reusable assets, including Power BI templates, Power BI data source (.pbids) files, and shared datasets

Query and transform data (20–25%)

Query data by using Azure Synapse Analytics

Ingest and transform data by using Power BI

Implement and manage data models (25-30%)

Design and build Tabular models

Optimize enterprise-scale data models

Explore and visualize data (20-25%)

Explore Data by using Azure Synapse Analytics

Visualize Data by using Power BI

Resources

Andy Cutler’s YouTube channel