Databricks Certified Data Engineer Professional
The Databricks Certified Data Engineer Professional is the platform's advanced credential for engineers who build and operate production pipelines on the Lakehouse. It goes well beyond the Associate level: you're tested on real Python and SQL code, Delta Lake internals, Structured Streaming, the medallion architecture, and Unity Catalog governance. Hiring managers and consultancies use it to separate engineers who can run pipelines in production from those who only know the UI. This page breaks down exactly what the exam covers, how it's delivered, and how to get it done right.
Pay Only After You Pass
No upfront fee — you settle only after your verified passing result. We advertise guaranteed results — 100% pass guaranteed or money back.
How the Databricks Data Engineer Professional exam is built — at a glance
59
59 scored multiple-choice questions, with a few unscored research items mixed in that aren't flagged — so treat every question as if it counts.
120
A two-hour window with no scheduled break. That averages roughly two minutes per question — tight when items include code snippets you must read carefully.
$200
A flat $200 USD per attempt, booked through the Databricks Academy and Kryterion Webassessor. A retake is a full fee, so a first-time pass matters.
Code examples appear primarily in Python and SQL, and many questions hinge on reading a snippet and predicting behavior — Delta MERGE results, Structured Streaming output modes, or how a transformation affects a table. This is an exam for engineers who actually write production code, not for memorizing definitions.
You get a pass/fail outcome benchmarked against a defined cut (commonly described as around 70%), plus a per-domain breakdown on your result. Because the weights are uneven, the domains carrying the most marks — data processing, optimization, and quality — deserve the most attention. The credential is valid for 2 years.
Ten domains from the current exam guide — bars show each domain's share of your score
The biggest domain. Writing Python and SQL to build robust transformations, Structured Streaming jobs, and Delta Lake operations such as MERGE, partitioning, and incremental processing.
Tuning jobs and clusters: file sizing and compaction, liquid clustering, caching, broadcast joins, and choosing serverless vs. classic compute to control spend.
Enforcing data quality with constraints and expectations, deduplication, slowly changing dimensions, and the medallion (bronze/silver/gold) architecture.
Observing pipeline health: job and stream metrics, Lakeflow Jobs runs, alerts, retries, and the Spark UI for diagnosing skew and bottlenecks.
Securing data with Unity Catalog privileges, row/column-level controls, dynamic views, PII handling, and audit-ready access patterns.
Diagnosing failures and shipping pipelines: error handling, idempotent design, CI/CD with Databricks Asset Bundles, and promoting jobs across environments.
Bringing data in reliably with Auto Loader, COPY INTO, schema evolution, and incremental batch and streaming ingestion patterns.
Cataloging and lineage with Unity Catalog: catalogs, schemas, ownership, tags, and tracking how data flows across the lakehouse.
Designing lakehouse schemas: dimensional modelling, change data capture, and structuring bronze/silver/gold layers for downstream consumers.
Sharing data across boundaries with Delta Sharing and querying external sources through Lakehouse Federation without copying data.
Domain weights are from the current Databricks exam guide. Data processing, optimization, and quality together account for roughly 45% of the exam, so a candidate who is strong on governance theory but shaky on reading Delta and Spark code will struggle to clear the cut.
Delivered through Kryterion Webassessor — online or at a test center
You register through the Databricks Academy and sit the exam from a private room via Kryterion Webassessor. Before it unlocks you complete a system check, an ID verification, and a 360° webcam scan of your workspace. A live proctor monitors the session, and the desk must be clear of notes, phones, and second monitors.
If you prefer a fixed environment, the exam is also offered at participating Kryterion Testing Network centers. Staff verify your government-issued ID, store your belongings, and seat you at a monitored workstation. The same content, fee, and time limit apply either way.
A valid, unexpired government photo ID with your name matching your Databricks Academy profile. The proctor captures a photo before the exam begins.
A clear desk, no second screen, no phone or notes within reach, and a full webcam room scan. No reference material is permitted — it's a closed-book exam.
Stay on-camera the whole 120 minutes with no scheduled break. Leaving frame, talking aloud, or losing connection can flag or void the session.
Built for engineers running real pipelines on the Lakehouse
No required prerequisite — but real experience is assumed
Difficulty: This is widely considered one of the harder data-platform exams. The questions are code-based and scenario-driven, the time budget is tight, and you can't lean on documentation. Engineers who haven't built streaming jobs or tuned Delta tables in production often underestimate it — which is exactly the kind of pressure point our help is designed to remove.
The Databricks Data Engineer Professional is a code-heavy, closed-book exam standing between you and a credential employers actually screen for. Exam Assist pairs you with a vetted Databricks specialist and works on a pay-after-you-pass model — so the risk sits with us, not you. No upfront fee, guaranteed results: Exam Assist handles the sitting end to end, and you settle only after the verified result.
Tell us your target date, delivery method (online or center), and your current comfort with Spark, Delta, and Unity Catalog. Takes a couple of minutes over WhatsApp, Telegram, or Discord.
We review your timeline and background and tell you plainly whether it's realistic — before any money is discussed. If it isn't a fit, we say so.
Exam Assist handles the sitting end to end. You're matched with a Databricks specialist who maps the work around the high-weight domains — data processing, optimization, and quality — and the Kryterion environment, discreetly and confidentially.
You only pay once your passing result is confirmed. No verified pass, nothing owed.
Tell us about your exam and get an honest, no-pressure feasibility answer first.
Straight answers about the Databricks Data Engineer Professional exam
Book exam help and explore sibling data certifications
Pair with a vetted Databricks specialist on a results-first arrangement. No upfront fee — settle only after a verified passing result.
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View examGet expert Databricks Data Engineer Professional help with no upfront fee — you settle only after your verified passing result. Honest feasibility answer first, results-first arrangement always.