DP-750 Study Guide: Azure Databricks Data Engineer Associate

What Does the DP-750 Exam Actually Test?

Microsoft's official study guide describes the target candidate as someone with subject-matter expertise in integrating and modeling data, building and deploying optimized pipelines, and troubleshooting and maintaining workloads — specifically inside Azure Databricks, applying data quality and governance practices in Unity Catalog. The guide names four responsibilities: setting up and configuring a Databricks environment, securing and governing Unity Catalog objects, preparing and processing data, and deploying and maintaining data pipelines and workloads. Those four responsibilities map one-to-one onto the exam's four skills domains.

Source: Microsoft Learn – Study Guide for Exam DP-750, "Skills measured as of March 11, 2026," checked September 7, 2026. Microsoft does not publish an exam-specific price, duration, or question count on this page as of this writing — we left those figures out rather than borrow a number from a different exam.

The two 30–35% domains — preparing/processing data and deploying/maintaining pipelines — together make up roughly two-thirds of the exam. If you only have time to go deep on two things, those are the two: everything from ingestion method and table format choices through Lakeflow Jobs, Databricks Asset Bundles, and Delta table optimization lives inside them.

Does DP-750 Replace the Old Azure Data Engineer Associate?

No, and this is worth clearing up before you register for the wrong exam. DP-203 (Data Engineering on Microsoft Azure), the exam behind the original Azure Data Engineer Associate certification, retired on March 31, 2025. Candidates asking Microsoft Q&A moderators what to do next are told directly: the closest replacement is Fabric Data Engineer Associate, exam DP-700— not DP-750.

DP-750 and DP-700 are siblings, not the same credential under a new name. DP-700 tests data engineering on Microsoft Fabric (Lakehouses, Fabric pipelines, KQL). DP-750 tests data engineering specifically on Azure Databricks (Unity Catalog, Lakeflow, Delta Lake). If your organization runs Fabric, start with DP-700. If it runs Databricks on Azure, DP-750 is the one that matches your actual day-to-day tools.

Do You Actually Need to Know Scala for This Exam?

No — and this is a genuine, checkable change from the retired DP-203 exam, not a guess. DP-203's official audience profile explicitly required "solid knowledge of data processing languages, including SQL, Python, and Scala." DP-750's official audience profile drops Scala entirely: it names only SQL and Python, plus Git-based SDLC experience and familiarity with Microsoft Entra, Azure Data Factory, and Azure Monitor.

Practically, that means every ingestion, transformation, and pipeline objective on the skills outline — Structured Streaming, CTAS, MERGE, Lakeflow Declarative Pipelines — is fair game through SQL or Python syntax, but you will not be expected to read or write Scala to pass. If your Databricks experience so far has been Scala notebooks inherited from an older team setup, budget time to get comfortable reading the same logic in PySpark and Databricks SQL before exam day.

Where to Put Your Study Hours

Because the two largest domains carry roughly double the weight of the two smallest, a flat "study everything equally" plan wastes time. The table below allocates a 40-hour study budget proportionally to each domain's official weight — adjust the total up or down, but keep the ratios.

Hour allocation is our own study-planning breakdown, calculated from Microsoft's official domain weights above — not a Microsoft-published figure.

Is Unity Catalog Governance Really Worth a Full Domain?

Yes, and candidates who treat it as a minor add-on to environment setup tend to underprepare for it. "Secure and govern Unity Catalog objects" is its own domain at 15–20% — the same weight as environment setup — and it is not just access grants. The official skills outline includes attribute-based access control (ABAC) with tags and policies, row filters and column masks, data lineage tracking through Catalog Explorer, audit logging, and designing a secure Delta Sharing strategy for sharing data outside your own workspace.

If your hands-on Databricks experience has mostly been inside a single already-configured workspace, this domain is the one most likely to expose gaps — ABAC and Delta Sharing in particular are easy to skip in day-to-day work but are named explicitly on the exam outline.

What Resources Does Microsoft Actually Point You To?

Microsoft's official study guide links four documentation sets and a self-paced/instructor-led training option, rather than a single all-in-one course:

• • Azure Databricks documentation — the primary reference, covering Unity Catalog, Lakeflow, and Delta Lake in depth
• • Azure Data Factory documentation — relevant to the ingestion-tool-selection objectives in Domain 3
• • Microsoft Entra documentation — for service principal and managed identity authentication objectives in Domain 2
• • Azure Monitor documentation — for the log streaming and alerting objectives in Domain 4

A free Practice Assessment is also available through AI Skills Navigator (sign-in required) — useful as a readiness check once you have worked through the domains above, but it is a graded knowledge check, not a scenario-explanation tool. For scenario-based practice with a rationale for every answer choice, see our free DP-750 practice questions.

Where MSCertQuiz Fits

MSCertQuiz sells practice-exam access for DP-750, and this guide was written by the same team that builds and maintains that question bank. Our DP-750 practice questions are scenario-based across all four domains above, weighted to match Microsoft's official percentages, with a full rationale for every answer choice. Forty questions are free; see the DP-750 cheat sheet for a dense task-to-command reference once you have worked through the material here, or browse all certifications we support.

Frequently Asked Questions