Prepare on PySpark.in with study material, hands-on practice and timed mocks. Register officially on Databricks/Webassessor when you are ready.
PySpark.in prepares learners with independent practice. Official certification is always completed on Databricks.
Validates advanced skills in building, optimising and maintaining production data engineering solutions on the Databricks Data Intelligence Platform. Covers Delta Lake, Unity Catalog, Auto Loader, Declarative Pipelines, Databricks Compute, Lakeflow Jobs and the Medallion Architecture — plus secure, cost-effective ETL in Python and SQL, schema management, observability and governance. You are also tested on streaming workloads, orchestration and CI/CD via the Databricks CLI, REST API and Asset Bundles.
Use PySpark.in as the preparation hub: first verify the official Databricks exam details, then study every domain, practise hands-on and finish with timed mock tests.
Roadmap links open official Databricks documentation or registration pages. Use those pages for source-of-truth exam details, then return to PySpark.in for practice and mocks.
Know the ten sections, the 59-question/120-minute format, and that no test aides are allowed — not even API documentation.
Build reliable batch and streaming pipelines, and know when a streaming table beats a materialized view.
Write modular Python, test it properly, and deploy it with Declarative Automation Bundles.
Observe workloads with system tables and profiles, then optimise what they reveal.
Close the remaining sections: protect data, share it safely, and model it well.
Pick the right lane for your next study session: learn concepts, revise questions, run code and solve hands-on challenges.
Do not book the official exam after one lucky score. Use short mocks for diagnosis, full mocks for stamina, and review every wrong answer before retrying.
Use the free mocks to diagnose weak areas, then take the full 59-question PySpark.in Data Engineer Professional Exam when you are ready for a certificate-backed assessment.
A full-length 120-minute, 59-question Professional assessment matching the official exam format and section weightings — Declarative Pipelines, streaming, optimization, security, sharing, governance and CI/CD. Clear it with 70% or higher and your downloadable PySpark.in certificate is generated automatically.
Clear with 70%+ to download your PySpark.in Databricks Certified Data Engineer Professional certificate immediately.
A free 20-question timed mock weighted to the official Professional blueprint across all ten sections — a fast diagnosis of your advanced data engineering gaps.
The official Databricks sample questions from the Professional exam guide plus a warm-up item — the closest look at how the real questions are phrased.
Use Databricks links for source-of-truth exam details, voucher rules and booking. Use PySpark.in practice resources and selected courses to prepare with confidence.
Redirect users to Databricks/Webassessor for source-of-truth exam details, voucher events and booking.
Use full mocks, answer explanations, notes, cheat sheets, training support and selected course resources to strengthen your exam readiness.
Optional external courses that pair well with this certification preparation path.
Preparation aimed squarely at the Professional exam — advanced pipelines, streaming, testing, monitoring and production data engineering on Databricks.
View coursePractice examsPractice Exams: Databricks Data Engineer ProfessionalDerar AlhusseinTimed practice sets for the Professional exam, useful once you have worked through the preparation course and want to test recall under time pressure.
View coursePySpark.in is independent and not affiliated with Databricks. Official vouchers, registration, proctoring and certification decisions are handled only by Databricks/Webassessor. External course links may be partner links at no extra cost to you.