Azure Mastery

Microsoft Certification DP-700

Predict your score. Pass with proof.

On-device AI scores your readiness, builds an adaptive study plan, and flags topics fading from memory — before they cost you the exam.

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DP-700 Practice Questions & Exam Prep — 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. Core study stays on-device and works offline; optional sync uses your private iCloud account.

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.

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.

Aura presents a visual map of data sources, transformation, storage, and analysis skills.
Data skill map

Implement and manage an analytics solution30–35%

Explore key topics

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%

Explore key topics

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%

Explore key topics

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. 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.

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-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.

  1. 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.
  2. 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.

A new analyst must be able to open every notebook, pipeline, and lakehouse in a workspace and read the data, but must not be allowed to edit any item or write data. Which…

  • Viewer
  • Contributor
  • Member
  • Admin

Multiple choice

A real DP-700 question-bank example with one correct answer. The app explains every option after you answer.

Exam-specific sample

A new project will start ingestion and transformation in a Lakehouse rather than a Warehouse. Which factors legitimately point toward choosing the Lakehouse for this stage?…

  • The team develops mainly in Apache Spark notebooks using Python and Scala
  • The incoming data includes unstructured files alongside structured tables
  • The workload requires multi-table transactional writes across many tables
  • Most consumers need full T-SQL DML to update and delete rows directly
  • The schema is a fixed, governed star schema built entirely in T-SQL

Multi-select

A real DP-700 multi-select item. Every required selection must be correct to earn the mark.

All-or-nothing

Drag to match

A real DP-700 interactive-format prompt, rendered for touch on iPhone and iPad.

Interactive item

Drag to match

A real DP-700 prompt that tests recognition inside a visual or contextual interface.

Match concepts

Case studies

A real DP-700 case-study scenario with linked questions that share the same requirements and environment.

Multi-question

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-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.

Is Azure Mastery free for DP-700 prep?

The app is free to download and includes a free allowance of DP-700 questions so you can try every feature. The full bank of 368 DP-700 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-700 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-700 practice test mode?

Yes — the exam simulator runs full-length DP-700 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-700

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
  1. DP-900 Fundamentals on-ramp
  2. DP-700 Fabric Data Engineer Associate

Full Fabric path

Associate tier
  1. DP-700 Fabric Data Engineer
  2. DP-600 Fabric Analytics Engineer

From classic data engineering

Associate tier
  1. DP-203 Azure Data Engineer (retired)
  2. DP-700 Fabric Data Engineer Associate

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.

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