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DP-750Azure Databricks Data Engineer
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DP-750 Practice Questions & Exam Prep — Azure Databricks Data Engineer
Get exam-ready for DP-750 (Implementing Data Engineering Solutions Using Azure Databricks) on iPhone or iPad. Azure Mastery uses on-device AI to predict your readiness score, build a personalised study plan, and surface topics you're forgetting. Core study stays on-device and works offline; optional sync uses your private iCloud account.
The exam
What is the DP-750 exam?
DP-750 — Implementing Data Engineering Solutions Using Azure Databricks — earns the Microsoft Certified: Azure Databricks Data Engineer Associate credential. It's a role-based, hands-on exam for working data engineers who integrate and model data, build and deploy optimised pipelines, and troubleshoot workloads on Azure Databricks. The audience profile assumes you can ingest and transform data with SQL and Python, apply software-development-lifecycle practices including Git, and are familiar with Microsoft Entra, Azure Data Factory, and Azure Monitor. You'll work alongside administrators, platform and solution architects, data scientists, and data analysts to design, deploy, and secure data-engineering solutions.
This is not a vocabulary exam. DP-750 expects you to reason about real engineering decisions: choosing and configuring compute (job, serverless, warehouse, classic, and shared); creating catalogs, schemas, volumes, and tables in Unity Catalog; governing data with grants, row-, column-, and table-level security, ABAC tags, row filters, and column masks; modelling data with Delta tables, partitioning, SCD types, and liquid clustering; ingesting batch and streaming data with Lakeflow Connect, Auto Loader, COPY INTO, CDC, and Spark Structured Streaming; building Lakeflow Jobs and Declarative Pipelines with Databricks Asset Bundles; and optimising Spark workloads with OPTIMIZE, VACUUM, and the Spark UI.
Microsoft's DP-750 skills outline is current as of 11 March 2026. Every question in Azure Mastery's DP-750 bank is mapped to the current outline — no leftover questions on retired features. Read the official outline at learn.microsoft.com.
Questions40–60 (mixed formats)
Duration~100 minutes
Pass score700 / 1000
CostUSD $165 (≈ £113 UK)
ValidityRenew yearly (Associate)
FormatOnline or test centre
Skills measured · March 2026
DP-750 exam objectives
Four domains — the two data domains carry the most weight (30–35% each), with environment setup and Unity Catalog governance at 15–20% each. Every summary below is paraphrased from the official skills outline; the bullet-level objectives in Azure Mastery are tagged so you always know which domain you're being tested on.
Data skill mapSourcesTransformStoreAnalyse
Set up and configure an Azure Databricks environment15–20%
Explore key topics
The platform-setup domain. Selecting and configuring compute — job, serverless, warehouse, classic, and shared — with performance settings (CPU, node count, autoscaling, termination, pooling) and feature settings (Photon acceleration, runtime/Spark version, machine learning); installing libraries and setting compute access permissions; and creating and organising Unity Catalog objects — catalogs, schemas, volumes, tables, views, and materialized views — plus foreign catalogs, DDL on managed and external tables, and AI/BI Genie instructions.
Secure and govern Unity Catalog objects15–20%
Explore key topics
The governance domain. Granting privileges to principals (users, service principals, groups); implementing table-, column-, and row-level security; reading Azure Key Vault secrets and authenticating with service principals and managed identities; and governing with table and column descriptions for discovery, ABAC tags and policies, row filters and column masks, data-retention policies, data lineage in Catalog Explorer, audit logging, and a secure Delta Sharing strategy.
Prepare and process data30–35%
Explore key topics
The hands-on heart of the exam. Modelling data in Unity Catalog — ingestion logic, table formats (Delta, Parquet, JSON, Iceberg), partitioning, SCD types, temporal history tables, and clustering (liquid clustering, Z-ordering, deletion vectors); ingesting batch and streaming data with Lakeflow Connect, Auto Loader, notebooks, CTAS, COPY INTO, CDC feeds, Spark Structured Streaming, and Azure Event Hubs; cleansing and transforming with joins, aggregation, pivoting, and merge/insert/append; and enforcing data-quality constraints with schema enforcement and pipeline expectations.
Deploy and maintain data pipelines and workloads30–35%
Explore key topics
The operations domain. Designing pipelines and choosing between notebooks and Lakeflow Spark Declarative Pipelines; implementing Lakeflow Jobs with triggers, schedules, alerts, and automatic restarts; applying development-lifecycle practices — Git branching and pull requests, testing strategies, and Databricks Asset Bundles deployed via CLI or REST; and monitoring, troubleshooting, and optimising — cluster cost, Spark skew, spilling, shuffle issues via the DAG and Spark UI, OPTIMIZE and VACUUM, and log streaming with Azure Monitor.
Designed for DP-750
How Azure Mastery helps you pass DP-750
Azure Mastery ships with 408 DP-750 practice questions, every one written specifically against the current (March 2026) skills outline. Each question carries a domain tag mapped to the official four domains (set up and configure an Azure Databricks environment, secure and govern Unity Catalog objects, prepare and process data, deploy and maintain data pipelines and workloads), so you always know which area you're being tested on and where your weak spots are clustered.
The on-device Exam IQ engine predicts your DP-750 score before you sit the exam. After roughly 30 questions it has enough signal to give a confidence-scored prediction (e.g. "786 ±37, 68% confidence") — and tells you the specific topics that are dragging your readiness down. No vague "study more" advice; just a ranked list of objectives where improvement would move your score the furthest.
The adaptive study plan rebuilds itself from your answer history. Get something wrong on choosing between a notebook and a Lakeflow Declarative Pipeline? You'll see another pipeline-design question in the next session. Nail Unity Catalog grants three sessions running and the engine backs off, surfacing fresh Auto Loader or Spark optimisation scenarios. The plan optimises for the gap between where you are and the 700 pass score, not for blind volume.
Knowledge decay tracking matters even more for a technical exam like DP-750. The Structured Streaming syntax or Databricks Asset Bundle workflow you mastered six weeks ago is exactly what you'll fumble on exam day if you stop revising. Azure Mastery tracks every topic's decay curve and flags topics approaching expiry — the padlock icon on the Today screen is your "revisit before you forget" cue.
Real exam simulation mode runs at DP-750's actual length and time pressure: a randomised question set drawn from the full 408-question bank, a ~100-minute timer, no jumping back to flag-and-review. It's the closest you can get to the test centre experience without sitting the exam.
Answer Coach turns each missed answer into a private, grounded lesson: the misconception, key distinction, and rule to remember. It always uses authored certification guidance; on supported devices, an optional on-device model may rewrite the note only when it passes grounding checks.
During your first week, Aura adapts the next step as you go. Every session ends with a concise recap of what changed, what to focus on, and the best follow-up.
Everything essential runs on-device. Your answer history, readiness gauge, and coaching stay private. Optional sync uses your private iCloud account; there is no Azure Mastery account, tracking, or external processing server.
4–8 week revision plan
Suggested DP-750 study plan
DP-750 is associate-level and hands-on, so plan four to eight weeks — more if SQL and Python aren't yet second nature. Below is a two-phase plan that maps onto Azure Mastery's four domains, simulator, and decay alerts. Pair every block with real practice in an Azure Databricks workspace; the readiness gauge tells you when you're done, not the calendar.
Set up the environment and lock down Unity Catalog
Warm-up: If your SQL or Python is rusty, spend the first sessions refreshing the language you'll lean on most before touching exam objectives.
Phase 1a — Set up and configure an Azure Databricks environment (15–20%): Compute types (job, serverless, warehouse, classic, shared), performance and feature settings (autoscaling, Photon, runtime version), libraries and access permissions; then create catalogs, schemas, volumes, tables and views in Unity Catalog.
Phase 1b — Secure and govern Unity Catalog objects (15–20%): Grants to principals, table-/column-/row-level security, Key Vault secrets, service principals and managed identities, ABAC tags, row filters and column masks, data lineage, audit logging, and Delta Sharing.
Make it stick: Spin up a workspace, create a catalog, and grant a group read access to a schema to ground the theory.
Prepare, process, deploy — then simulate
Phase 2a — Prepare and process data (30–35%): Data modelling with Delta, partitioning, SCD types and liquid clustering; ingestion with Lakeflow Connect, Auto Loader, COPY INTO, CTAS, CDC feeds, Spark Structured Streaming and Azure Event Hubs; cleansing, transforming and merging; and data-quality constraints with pipeline expectations and schema-drift handling.
Phase 2b — Deploy and maintain data pipelines and workloads (30–35%): Lakeflow Jobs and Declarative Pipelines, triggers, alerts and restarts; Git and Databricks Asset Bundles via CLI/REST; and monitoring, troubleshooting and optimising Spark (skew, spill, shuffle, OPTIMIZE, VACUUM) with the Spark UI and Azure Monitor.
Run Focus Weak Spots daily. The app surfaces the 5–10 questions most likely to move your readiness score.
Run the Exam Simulator end-to-end at full ~100-minute length. When you're scoring 750+ consistently, schedule the exam — then light review only, sleep well, and sit it.
Inside the app
Every Microsoft question type, on iPhone
DP-750's question bank uses the same formats Microsoft puts on the live exam — not just multiple choice. Each visualisation below is a faithful mock of how the type renders inside Azure Mastery on iPhone and iPad. Exam-simulator mode runs all of them at full ~100-minute length with no flag-and-review jumps, mirroring Pearson VUE.
In Lakeflow Jobs, which resource acts as the top-level container that coordinates, schedules, and runs one or more tasks as a single workflow?
A trigger
A job
A task
A pipeline
Multiple choice
A real DP-750 question-bank example with one correct answer. The app explains every option after you answer.
Exam-specific sample
Which maintenance operations does predictive optimization run automatically on Unity Catalog managed tables? (Select three.)
OPTIMIZE
VACUUM
ANALYZE
ZORDER
REORG TABLE
Multi-select
A real DP-750 multi-select item. Every required selection must be correct to earn the mark.
All-or-nothing
Arrange the steps to give analysts governed, read-only access to a PostgreSQL database through Lakehouse Federation, from first to last.
⋮⋮1Create a connection in Unity Catalog with the JDBC URL and credentials
⋮⋮2Create a foreign catalog that mirrors the external database using the…
⋮⋮3Grant privileges on the foreign catalog's tables to the analyst group
⋮⋮4Run federated queries that push down to the external database
Drag-and-drop
A real DP-750 interactive-format prompt, rendered for touch on iPhone and iPad.
Interactive item
Complete the compute and runtime guidance for common Azure Databricks scenarios.
Dropdown selection
A real DP-750 prompt that tests recognition inside a visual or contextual interface.
Choose in context
Productionizing the Contoso Retail analytics pipeline Contoso Retail runs a nightly pipeline that ingests sales files from cloud storage, cleanses them, and refreshes reporting tables. Today engineers deploy by manually…
1Which approach best meets this deployment requirement?
2How should the team configure this alerting?
3Which change best satisfies these cost goals?
Case studies
A real DP-750 case-study scenario with linked questions that share the same requirements and environment.
Multi-question
✕Your answer: A trigger
✨ Answer Coach:A trigger only defines when a job starts, such as on a schedule or a file-arrival event; it does not own or coordinate the tasks themselves.
— grounded in authored certification guidance
Answer Coach
Answer Coach uses the bank's authored rationale to explain the misconception, key distinction, and rule to remember. On supported devices, an optional on-device model may rewrite the note only when it passes grounding checks.
App exclusive
Frequently asked
DP-750 FAQs
How much does the DP-750 exam cost?
The DP-750 voucher is USD $165 in the United States — associate-level pricing. Cost varies by region; in the UK it's typically around £113. Microsoft sometimes runs free-voucher promotions for events such as Microsoft Build or Microsoft Ignite, so check your Microsoft Learn profile for any active offers before booking.
Does the DP-750 certification expire?
Yes. DP-750 earns the Microsoft Certified: Azure Databricks Data Engineer Associate credential, and like all Microsoft associate, expert, and specialty certifications it must be renewed every year. Renewal is free — you pass a short online assessment on Microsoft Learn, available in the six months before your certification expires. (This is different from Fundamentals certifications such as DP-900, which never expire.)
What is the DP-750 retake policy if I fail?
The first retake is allowed after 24 hours. Second and third retakes each require a 14-day wait. Microsoft caps retakes at five attempts per 12-month rolling period. Each attempt requires a new voucher purchase.
How long should I study for DP-750?
DP-750 is an associate-level data-engineering exam, so plan roughly four to eight weeks of focused study. You should already be comfortable with SQL and Python before you start — the exam assumes hands-on experience ingesting, transforming, and modelling data in Azure Databricks. Azure Mastery's readiness gauge will tell you when you're at exam-ready — don't book until it shows roughly 720 or higher predicted score with reasonable confidence.
DP-750 vs DP-700 — which should I take?
Both are associate-level Microsoft data-engineering certifications, but they target different platforms. DP-750 (Azure Databricks Data Engineer) is for teams building on Azure Databricks — Unity Catalog governance, Lakeflow Jobs and Declarative Pipelines, Delta tables, Spark and Photon tuning, and Databricks Asset Bundles. DP-700 (Fabric Data Engineer) covers the same data-engineering craft on Microsoft Fabric — OneLake, Dataflows Gen2, Eventstream, Lakehouse and Warehouse. Pick the exam that matches your platform: if your organisation runs Azure Databricks, take DP-750; if it standardises on Microsoft Fabric, take DP-700. Many engineers eventually earn both.
Is DP-750 a technical, hands-on exam?
Yes. DP-750 expects you to reason about real data-engineering work in Azure Databricks — writing and debugging SQL and PySpark; designing batch and streaming ingestion with Lakeflow Connect, Auto Loader, and Spark Structured Streaming; modelling data with Delta tables, liquid clustering, and slowly changing dimensions; governing objects in Unity Catalog with grants, row filters, and column masks; and optimising Spark jobs with OPTIMIZE, VACUUM, and the Spark UI. It's a working data engineer's exam, not a conceptual overview. If you want a non-technical, vocabulary-level data certification first, look at DP-900 (Azure Data Fundamentals) as an on-ramp.
Is Azure Mastery free for DP-750 prep?
The app is free to download and includes a free allowance of DP-750 questions so you can try every feature. The full bank of 408 DP-750 practice questions unlocks with a one-time exam-pack purchase, or you can unlock every exam in the catalogue with a subscription or a one-time lifetime upgrade.
Does DP-750 practice work offline?
Yes. Question practice, scoring, and the readiness prediction all run on-device, so you can study on a flight or a commute with no connection. No account is required, and your study data stays on your device with optional private iCloud sync.
Is there a DP-750 practice test mode?
Yes — the exam simulator runs full-length DP-750 practice tests that mirror the real exam’s question formats and timing, including interactive item types. Adaptive study sessions and Focus Weak Spots then target the domains where your accuracy is lowest.
Free study guides
Free guides that pair with DP-750
Where DP-750 fits
Certification paths that lead to DP-750
DP-750 is the associate-level destination of Microsoft's Azure Databricks data-engineering track. There's no formal prerequisite, but DP-900 (Azure Data Fundamentals) is a natural on-ramp if the data vocabulary is new, and many engineers pair DP-750 with DP-700 (Fabric Data Engineer) to cover data engineering on both Microsoft platforms.
DP-750 is the Azure Databricks data-engineering associate. Its closest neighbour is DP-700 (the same role on Microsoft Fabric); below are the related exams already covered in Azure Mastery — a fundamentals on-ramp and the Fabric data-engineering path that sits alongside it.
Ready to pass DP-750?
Download Azure Mastery free. 408 DP-750 practice questions, AI score prediction, and a personalised study plan that adapts to your weak spots. iPhone & iPad.
