Comparison
DP-700 vs DP-750
Fabric Data Engineer and Azure Databricks Data Engineer, compared on who they are for and what they test, from each exam's own official outline.
DP-700
Exam page ↗Fabric Data Engineer
Microsoft Certified: Fabric Data Engineer Associate
- For
- Data engineers who build pipelines in Microsoft Fabric
- Exam time
- 100 minutes, 50 questions
- Works with
- SQL, PySpark and KQL
DP-750
Exam page ↗Azure Databricks Data Engineer
Microsoft Certified: Azure Databricks Data Engineer Associate
- For
- Data engineers who work in Azure Databricks
- Exam time
- 100 minutes, 50 questions
- Works with
- Unity Catalog, SQL and Python
Exam domains
Where the exam time goes
The domains each exam's official skills outline lists, and the share of the exam Microsoft assigns to each one.
DP-700
- Implement and manage an analytics solution 30-35%
- Ingest and transform data 30-35%
- Monitor and optimize an analytics solution 30-35%
DP-750
- Set up and configure an Azure Databricks environment 15-20%
- Secure and govern Unity Catalog objects 15-20%
- Prepare and process data 30-35%
- Deploy and maintain data pipelines and workloads 30-35%
Verdict
Which one first
Both exams test data engineering with SQL alongside a Spark-family language, but on different platforms: DP-700 on Microsoft Fabric with PySpark and KQL, DP-750 on Azure Databricks with Python and Unity Catalog. DP-750 also front-loads a third of the exam, two domains at 15-20% each, on environment setup and Unity Catalog governance before any data work, while DP-700 folds security into its first domain and spends full, even thirds on implementing, ingesting and monitoring. The deciding factor here is not skill level, it is platform: take DP-700 if your pipelines run in Microsoft Fabric, take DP-750 if your organization runs Azure Databricks with Unity Catalog. Take both only if you actually work across both platforms.