Updated for 2026 Exam Objectives

DP-750 Practice Test

Implementing Data Engineering Solutions Using Azure Databricks

DP-750 tests whether you can actually build, secure, and operate production data pipelines on Azure Databricks — Unity Catalog governance, Lakeflow ingestion, and CI/CD with Databricks Asset Bundles — not just recognize feature names.

Our 500 scenario-based questions cover the full DP-750 blueprint across four domains: setting up and configuring an Azure Databricks environment (compute types, performance and feature settings, library installation, and organizing Unity Catalog objects including catalogs, schemas, volumes, and AI/BI Genie), securing and governing Unity Catalog objects (privilege grants, table- and column-level access control, row-level security, ABAC with tags and policies, row filters and column masks, data lineage, audit logging, and Delta Sharing), preparing and processing data (data modeling, ingestion via Lakeflow Connect and Spark Structured Streaming, cleansing and transforming data, SCD types, clustering strategies, and data quality constraints), and deploying and maintaining data pipelines and workloads (Lakeflow Spark Declarative Pipelines, Lakeflow Jobs, Git-based development lifecycle, Databricks Asset Bundles, and troubleshooting Spark jobs, caching, skewing, and shuffle issues). Every question is grounded against live Microsoft Learn and Azure Databricks documentation.

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Is this for you?

Your DP-750 exam is in the next 2-4 weeks
You've studied the concepts but aren't sure you'll pass
You want questions harder than the real exam
You want to understand why answers are correct, not just memorize

This is NOT for you if:

You're looking for braindumps or exam leaks
You haven't started studying the concepts yet
Most successful candidates start practice 2-3 weeks before their exam
Updated for the latest exam blueprint

DP-750 Exam Details

What to expect on exam day

Questions

40

Duration

100 minutes

Passing Score

700

Exam Cost

$165

Exam Domains Covered

Master all topics tested on the DP-750 exam

1

Set up and configure an Azure Databricks environment

2

Secure and govern Unity Catalog objects

3

Prepare and process data

4

Deploy and maintain data pipelines and workloads

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5 Free DP-750 Questions

See how ready you are for the DP-750 exam. Each question includes a detailed explanation so you learn as you go.

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Why Practice with MSCertQuiz?

Microsoft Learn teaches concepts. We prepare you for the actual exam.

1

Deep coverage of Unity Catalog governance most SQL-only question banks skip entirely — attribute-based access control, row filters and column masks, data lineage tracking, and secure Delta Sharing strategy

2

Real ingestion and pipeline scenarios across Lakeflow Connect, Spark Structured Streaming, CDC feeds, and Lakeflow Spark Declarative Pipelines, matching how data engineers actually build on Databricks today

3

Full CI/CD and operations content most competitors ignore: Databricks Asset Bundles, Git branching and pull requests, and troubleshooting caching, skewing, spilling, and shuffle issues using the Spark UI and query profile

4

Every question verified against live Microsoft Learn and Azure Databricks documentation before it ships, so content stays accurate as Lakeflow and Unity Catalog features keep evolving

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What Our Users Say

I've used Databricks for a year but never dug into the Unity Catalog governance side properly. The ABAC and Delta Sharing questions closed real gaps before the exam. Passed on my first attempt.

MV

Marek V.

DP-750 Certified

The Lakeflow Jobs and Databricks Asset Bundles domain was the one I underestimated. Practicing the deployment and CI/CD scenarios here made the difference on exam day.

LO

Lindiwe O.

Data Engineer

The Spark troubleshooting scenarios on skew, shuffle, and caching were much closer to real production debugging than anything else I tried. The explanations actually taught the reasoning.

HC

Hugo C.

Passed DP-750 first try

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Official Microsoft Resources

Our practice questions are aligned with official Microsoft exam objectives. We recommend studying with Microsoft Learn first, then using MSCertQuiz to test your readiness.

View Official DP-750 Exam Details

DP-750 Frequently Asked Questions

Everything you need to know about the DP-750 Databricks Data Engineering certification

What is DP-750?
DP-750 (Implementing Data Engineering Solutions Using Azure Databricks) is a certification validating the ability to integrate and model data, build and deploy optimized pipelines, and troubleshoot and maintain workloads in Azure Databricks, applying data quality and governance best practices in Unity Catalog.
How much does the DP-750 exam cost and how long is it?
The DP-750 exam costs $165 USD, runs approximately 100 minutes, and has a passing score of 700 out of 1000. Confirm current pricing and duration on the official certification page before booking, since exam details can shift alongside Azure Databricks feature updates.
What is the passing score for DP-750?
The passing score for DP-750 is 700 out of 1000, the same threshold used across nearly all Microsoft role-based certification exams. Scoring is scaled, so 700 represents roughly 70% competency spread across all four exam domains rather than a simple raw percentage.
What topics are covered on DP-750?
DP-750 covers four domains: Set up and configure an Azure Databricks environment (15-20%) — compute types, performance settings, and Unity Catalog object organization; Secure and govern Unity Catalog objects (15-20%) — privilege grants, row-level security, ABAC, and Delta Sharing; Prepare and process data (30-35%) — data modeling, ingestion methods, transformation, and data quality constraints; and Deploy and maintain data pipelines and workloads (30-35%) — Lakeflow Jobs, Databricks Asset Bundles, Git-based CI/CD, and troubleshooting Spark workloads.
How hard is DP-750?
DP-750 is a scenario-heavy exam that expects real hands-on experience building and operating pipelines in Azure Databricks, not just familiarity with SQL or Python syntax. Candidates comfortable with core data engineering often find the Unity Catalog governance domain (ABAC, row filters, lineage, Delta Sharing) and the Spark troubleshooting scenarios (DAGs, skew, shuffle) the hardest, since they require production operational experience.
How long should I study for DP-750?
Candidates already building pipelines in Azure Databricks with Unity Catalog should plan 4-6 weeks, focused on the governance and troubleshooting domains. Candidates newer to Databricks or Lakeflow should plan 8-10 weeks. We recommend working through Microsoft Learn's DP-750 learning path first, then practicing with 500 scenario-based questions spread across all four domains in proportion to their exam weight.
What are the prerequisites for DP-750?
There are no enforced prerequisites to register for DP-750, but it is designed for candidates with subject matter expertise integrating and modeling data, building and deploying pipelines, and applying data quality and governance practices in Unity Catalog — with experience in SQL, Python, Git-based SDLC practices, Microsoft Entra, Azure Data Factory, and Azure Monitor.
Who should take DP-750?
DP-750 is aimed at data engineers who design, deploy, and secure data engineering solutions using Azure Databricks, working closely with administrators, platform architects, solution architects, data scientists, and data analysts. It pairs well with DP-900 (Azure Data Fundamentals) for candidates building foundational data knowledge first, and with DP-800 (Developing AI-Enabled Database Solutions) for a broader Microsoft data-platform credential portfolio.