DP-750: Azure Databricks Data Engineer Associate
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Interactive Study Guide
Each module covers one exam topic with plain-English explanations, real-world scenarios, and built-in practice. Everything you need to understand and retain the material — no tab-switching required.
Domain 1: Set Up and Configure an Azure Databricks Environment ›
Domain 2: Secure and Govern Unity Catalog Objects ›
Domain 3: Prepare and Process Data ›
Domain 4: Deploy and Maintain Data Pipelines and Workloads ›
Exam Resources
Official learning paths, exam details, skills measured, and community resources to supplement your study.
Exam Quick Facts
| Detail | Value |
|---|---|
| Exam Code | DP-750 |
| Title | Azure Databricks Data Engineer Associate |
| Level | Associate |
| Pass Score | 700 / 1000 |
| Duration | 100 minutes |
| Questions | ~40-60 |
| Cost | $165 USD (varies by region) |
| Scheduling | Pearson VUE |
Study Resources
| Resource | Link |
|---|---|
| Official Exam Page | Microsoft Learn — DP-750 |
| Exam Sandbox | Try the exam interface |
Who is this exam for?
This Microsoft Data certification covers data concepts and Azure data services. It tests your ability to work with relational and non-relational databases, analytics workloads, and data platforms on Azure. This is an associate-level exam that expects hands-on experience. You should have practical knowledge of the technologies covered.
Skills Measured
Skills measured have not been published yet for this beta exam. Check the official exam page for updates.
What to Study Next
Based on this exam, here are related certifications to consider:
- DP-900: Microsoft Azure Data Fundamentals — Fundamentals
- DP-300: Administering Microsoft Azure SQL Solutions — Associate
Quick Links
Frequently asked questions
Early-days DP-750 questions — Microsoft’s first Azure Databricks–specific exam, currently in beta and a clean entry point if Databricks is becoming your day job.
What is the DP-750 exam? #
Is DP-750 worth taking? #
What's the difference between DP-750 and DP-700? #
Is DP-750 still in beta? #
How do I prepare for DP-750 if skills measured aren't published? #
Compare DP-750 across AWS & Google Cloud → Cert Compass
Frequently Asked Questions
1. What is the DP-750 exam?
DP-750 is Microsoft's Azure Databricks Data Engineer Associate exam — Associate level, 100 minutes, $165 USD at GA. It went into beta in March 2026. Unlike [DP-700](/cert-tracker/dp-700/) (Fabric) and DP-203 (Azure data engineering in general), DP-750 is specifically about doing data engineering on Azure Databricks — Spark, Delta Lake, Unity Catalog, Workflows, and SQL Warehouses.
2. Is DP-750 worth taking?
Worth it if you use Azure Databricks day-to-day and want a Microsoft-issued credential that names Databricks specifically. Most Databricks engineers historically certify through Databricks' own programme. DP-750 is the cleaner choice if your employer cares about Microsoft credentials (most Microsoft partners and Azure-heavy enterprises do) or if you already hold other Microsoft Data certs and want a consistent skill ladder.
3. What's the difference between DP-750 and DP-700?
[DP-700](/cert-tracker/dp-700/) is the Fabric Data Engineer cert — focused on Microsoft Fabric (Lakehouse, Warehouse, Real-Time Intelligence, Pipelines). DP-750 is Azure Databricks–specific. They overlap on Spark and Delta Lake fundamentals, but the platforms, tooling, and exam scenarios are different. Pick the one that matches the platform your team actually uses. If you use both, do DP-700 first — broader market reach.
4. Is DP-750 still in beta?
Yes, beta since March 2026. Microsoft hasn't announced a GA date yet. Beta sittings are typically 80% off ($33 vs $165 at GA) and the credential carries over to GA when you pass. The catch is the result wait — usually 4–6 weeks while the beta cohort completes. Limited beta seats, so book early through [Pearson VUE](https://learn.microsoft.com/en-us/credentials/certifications/schedule-through-pearson-vue?examUid=exam.DP-750).
5. How do I prepare for DP-750 if skills measured aren't published?
Microsoft hasn't released the official skills list yet (typical for beta). Solid ground to cover: Spark DataFrames + SQL, Delta Lake (time travel, optimisation, partitioning, liquid clustering), Unity Catalog (data governance, lineage), Databricks Workflows + DLT pipelines, SQL Warehouses, and integration with Azure Storage + ADLS Gen2. We'll refresh this page the moment the SC list drops.