Microsoft's skills measured for DP-900 as of July 21, 2026, mapped to the chapters of Ultra Transcenders DP-900: Microsoft Azure Data Fundamentals.
| Objective | Chapters |
|---|---|
| Describe core data concepts (25–30%) | |
| Describe ways to represent data | 1. Representing and storing data |
| Identify options for data storage | 1. Representing and storing data |
| Describe common data workloads | 2. Data workloads and data roles |
| Identify roles and responsibilities for data workloads | 2. Data workloads and data roles |
| Identify considerations for relational data on Azure (20–25%) | |
| Describe relational concepts | 3. Relational concepts, SQL and database objects |
| Describe relational Azure data services | 4. Azure relational database services |
| Describe considerations for working with non-relational data on Azure (15–20%) | |
| Describe the capabilities of Azure storage | 5. Azure Storage: Blob, Data Lake Storage, Files and Tables |
| Describe the capabilities and features of Azure Cosmos DB | 6. Azure Cosmos DB |
| Describe an analytics workload (25–30%) | |
| Describe common elements of large-scale analytics | 7. Large-scale analytics: Microsoft Fabric and Azure Databricks |
| Describe considerations for real-time data analytics | 8. Real-time analytics |
| Describe data visualization in Microsoft Power BI | 9. Data visualisation with Power BI |
The full list of tasks under each objective is in the official DP-900 study guide and practice assessment. The book is organised by technology, so one chapter often serves several objectives.