DP-700 Study App for iOS — Microsoft Fabric Data Engineer
Get exam-ready for DP-700 (Implementing Data Engineering Solutions Using Microsoft Fabric) 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 — all without sending a single byte off your device.
The exam
What is the DP-700 exam?
DP-700 — Implementing Data Engineering Solutions Using Microsoft Fabric — earns the Microsoft Certified: Fabric Data Engineer Associate credential. It's a role-based, hands-on exam for working data engineers who ingest and transform data and build analytics solutions on Microsoft Fabric. The audience profile assumes you're already fluent in at least one of SQL, PySpark, or KQL and comfortable with data loading patterns, data architectures, and orchestration. You'll work alongside analytics engineers, architects, analysts, and administrators to design and deploy data engineering solutions.
This is not a vocabulary exam. DP-700 expects you to reason about real engineering decisions: full vs incremental load patterns; choosing between Dataflow Gen2, pipelines, and notebooks; transforming data with PySpark, T-SQL, and KQL; wiring up OneLake shortcuts and database mirroring; processing streams with Eventstream and Spark Structured Streaming; securing data with row-, column-, and object-level security and OneLake security; and optimising Lakehouse, Warehouse, pipeline, and Spark performance.
Microsoft refreshed the DP-700 skills outline on 21 July 2026. Every question in Azure Mastery's DP-700 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 · July 2026
DP-700 exam objectives
Three domains, each weighted 30–35% in Microsoft's July 2026 update — there's no "easy" domain to coast on. 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.
Implement and manage an analytics solution30–35%
The platform-engineering domain. Configuring Fabric workspace settings (Spark, domains, OneLake, Apache Airflow); lifecycle management with Git version control, database projects, and deployment pipelines; security and governance — workspace- and item-level access, row-, column-, object-, and folder/file-level controls, dynamic data masking, sensitivity labels, audit logs, and OneLake security; and orchestration — choosing between Dataflow Gen2, pipelines, and notebooks and designing schedule- and event-based triggers.
Ingest and transform data30–35%
The hands-on heart of the exam. Designing full and incremental load patterns and preparing data for a dimensional model; batch ingest and transform with Dataflows Gen2, notebooks, KQL, T-SQL, and PySpark, plus OneLake shortcuts, mirroring, and pipelines; denormalising, grouping, aggregating, and handling duplicate, missing, and late-arriving data; and streaming ingestion with Eventstream, Spark Structured Streaming, KQL, and windowing functions.
Monitor and optimize an analytics solution30–35%
The operations domain. Monitoring data ingestion, transformation, and semantic-model refresh and configuring alerts; identifying and resolving errors across pipelines, Dataflow Gen2, notebooks, Eventhouse, Eventstream, T-SQL, and OneLake shortcuts; and optimising performance of the Lakehouse table, pipeline, data warehouse, Eventstreams/Eventhouses, Spark, and individual queries.
Designed for DP-700
How Azure Mastery helps you pass DP-700
Azure Mastery ships with 368 DP-700 practice questions, every one written specifically against the current (July 2026) skills outline — not generic data trivia. Each question carries a domain tag mapped to the official three domains (implement and manage an analytics solution, ingest and transform data, monitor and optimise an analytics solution), 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-700 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 Dataflow Gen2, a pipeline, and a notebook? You'll see another orchestration question in the next session. Nail incremental load patterns three sessions running and the engine backs off, surfacing fresh Eventstream 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-700. The KQL windowing syntax or deployment-pipeline 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-700's actual length and time pressure: a randomised question set drawn from the full 368-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.
Everything runs on-device. Your answer history, your readiness gauge, your decay alerts — none of it leaves your iPhone or iPad. No account required to start, no tracking, no sync server. Privacy-first by design.
4–8 week revision plan
Suggested DP-700 study plan
DP-700 is associate-level and hands-on, so plan four to eight weeks — more if SQL, PySpark, or KQL aren't yet second nature. Below is a two-phase plan that maps onto Azure Mastery's three domains, simulator, and decay alerts. Pair every block with real practice in a Microsoft Fabric trial; the readiness gauge tells you when you're done, not the calendar.
Build and manage the platform
Warm-up: If your SQL, PySpark, or KQL is rusty, spend the first sessions refreshing the language you'll lean on most before touching exam objectives.
Phase 1 focus — Implement and manage an analytics solution (30–35%): Fabric workspace settings (Spark, domains, OneLake, Airflow) and lifecycle management — Git version control, database projects, deployment pipelines.
Security & governance: Workspace- and item-level access, row-/column-/object-/file-level controls, dynamic data masking, sensitivity labels, audit logs, and OneLake security.
Orchestration: Choosing between Dataflow Gen2, pipelines, and notebooks; designing schedule- and event-based triggers. Build a workspace and a deployment pipeline in Fabric to make it stick.
Ingest, transform, optimise — then simulate
Phase 2 focus — Ingest and transform data (30–35%): Full vs incremental loads, batch transform with Dataflows Gen2, notebooks, PySpark, T-SQL and KQL, OneLake shortcuts, mirroring, plus streaming with Eventstream, Spark Structured Streaming, and KQL windowing.
Monitor and optimize an analytics solution (30–35%): Monitor items and configure alerts, resolve pipeline / Dataflow / notebook / T-SQL errors, and optimise Lakehouse, Warehouse, pipeline, Spark, and query performance.
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-700'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.
Which Azure compute service is best for event-driven container workloads?
Azure Functions
Azure Container Apps
Azure Service Bus
Azure App Service
Multiple choice
One correct answer from four to six options. The most common type on every Azure exam — practical recall of services, settings, and limits.
~50% of questions
Select two services that support point-in-time restore.
Azure SQL Database
Azure Service Bus
Azure Cosmos DB
Azure Functions
Multi-select
Pick two or more correct answers from a list. Microsoft tells you exactly how many to choose. Partial credit not awarded — you need every selection right.
All-or-nothing
Order the steps to deploy a Bicep template.
⋮⋮1Create resource group
⋮⋮2az bicep build
⋮⋮3az deployment group create
⋮⋮4Verify outputs
Drag-and-drop
Arrange items into the correct sequence — deployment steps, the order operations occur in a pipeline, troubleshooting flows. Long-press to drag on touch.
Order matters
Tap the setting that enables soft delete on this storage account.
Hotspot
Tap the correct area of an image — the right setting in a portal screenshot, the right resource in a topology diagram. Practical visual recall under time pressure.
Tap target
Contoso Ltd needs to migrate 40 VMs from on-premises to Azure with an RTO of four hours and zero data loss…
1Which migration tool meets the RTO?
2What backup tier is required?
3Which network design supports failover?
4How should they configure RBAC?
Case studies
A multi-paragraph scenario followed by 4–6 linked questions. Appears on DP-700 for end-to-end ingestion and pipeline design; dominant on AZ-305 and AZ-400.
Multi-question
✕Your answer: Azure Service Bus
✨ Why wrong:Service Bus is for enterprise messaging with FIFO & transactions. The scenario specifies massive event ingestion at high throughput — Event Hubs is the right primitive…
— generated on-device by Apple Foundation Model
Why Wrong AI
An Azure Mastery exclusive. When you answer incorrectly, an on-device Apple Foundation Model writes a targeted explanation grounded in the correct rationale. Never leaves your device.
App exclusive
Frequently asked
DP-700 FAQs
How much does the DP-700 exam cost?
The DP-700 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-700 certification expire?
Yes. DP-700 earns the Microsoft Certified: Fabric 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-700 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-700?
DP-700 is an associate-level data-engineering exam, so plan roughly four to eight weeks of focused study. You should already be comfortable with SQL, PySpark, or KQL before you start — the exam assumes hands-on experience ingesting, transforming, and modelling data. 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-700 vs DP-600 — which should I take?
Both are Microsoft Fabric associate certifications, and your role should decide. DP-600 (Fabric Analytics Engineer) leans toward analytics — semantic models, Power BI, DAX, and serving data for reporting. DP-700 (Fabric Data Engineer) leans toward data engineering — ingestion and transformation with pipelines, Dataflows Gen2, notebooks and PySpark, real-time streaming with Eventstream and KQL, plus Lakehouse and Warehouse optimisation. If you build the pipelines that load and shape data, take DP-700; if you model and serve it for analytics, take DP-600. Many engineers eventually earn both.
Is DP-700 a technical, hands-on exam?
Yes. DP-700 expects you to reason about real data-engineering work in Microsoft Fabric — writing and debugging T-SQL, PySpark, and KQL; designing full and incremental load patterns; working with Delta tables, OneLake shortcuts, mirroring, and pipelines; and optimising Lakehouse, Warehouse, and Spark performance. 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.
Where DP-700 fits
Certification paths that lead to DP-700
DP-700 is the associate-level destination of Microsoft's Fabric 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-700 with DP-600 to cover both data engineering and analytics on Fabric.
Fabric Data Engineer path
Associate tier
DP-900Fundamentals on-ramp
DP-700Fabric Data Engineer Associate
Full Fabric path
Associate tier
DP-700Fabric Data Engineer
DP-600Fabric Analytics Engineer
From classic data engineering
Associate tier
DP-203Azure Data Engineer (retired)
DP-700Fabric Data Engineer Associate
Around DP-700
Related certifications
DP-700 is the data-engineering associate on Microsoft Fabric. Its closest neighbour is DP-600 (Fabric Analytics Engineer); below are the related exams already covered in Azure Mastery — a fundamentals on-ramp and the Power BI analyst path that sits alongside Fabric.
Ready to pass DP-700?
Download Azure Mastery free. 368 DP-700 practice questions, AI score prediction, and a personalised study plan that adapts to your weak spots. iPhone & iPad.