title
Data Engineer Professional
tags
databricks
certification
data-engineer
type
certification
aliases
Databricks Data Engineer Professional
What changed in the November 30, 2025 exam guide
Restructured from 5 broad topics into 10 explicitly weighted domains
Data Sharing and Federation (Delta Sharing, Lakehouse Federation) is now a first-class domain (5 %)Data Modelling is now a first-class domain (6 %) — renamed and re-weighted; previously a top-level section in the older blueprintStronger emphasis on Cost & Performance Optimization (13 %)
Pass / fail — the Nov 30, 2025 exam guide does not publish a numeric passing score
The official source of truth: Databricks Certified Data Engineer Professional (and the November 30, 2025 exam guide PDF ). The folder structure in this guide now matches the official 10-domain blueprint 1 : 1.
Detail
Information
Certification Databricks Certified Data Engineer Professional
Exam guide November 30, 2025
Scored questions 59 multiple-choice
Duration 120 minutes
Result Pass / fail (no numeric threshold in the Nov 30, 2025 exam guide)
Languages English, Japanese, Portuguese (BR), Korean
Code in stems Python and SQL
Experience 1+ years building production data pipelines on Databricks (recommended)
Recertification Every 2 years — see Renewal Guide
Cost $200 USD
Delivery Online proctored or test center
Exam Domain Weights (official — November 30, 2025)
pie title Exam Topic Distribution (10 domains)
"Developing Code for Data Processing" : 22
"Cost & Performance Optimization" : 13
"Data Transformation, Cleansing, Quality" : 10
"Monitoring and Alerting" : 10
"Ensuring Data Security and Compliance" : 10
"Debugging and Deploying" : 10
"Data Ingestion & Acquisition" : 7
"Data Governance" : 7
"Data Modelling" : 6
"Data Sharing and Federation" : 5
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The folder structure below matches the November 30, 2025 official 10-domain blueprint. Read in order; each folder's README.md has the section contents and key concepts.
Section
Weight
Focus
01 — Developing Code for Data Processing 22 %
Batch + streaming code, Delta ops, Lakeflow Declarative Pipelines, Lakeflow Jobs
02 — Cost & Performance Optimization 13 %
File sizing, Z-ORDER / liquid clustering, Spark tuning, Photon, compute selection
03 — Data Transformation, Cleansing, Quality 10 %
CDC, deduplication, expectations, APPLY CHANGES INTO
04 — Monitoring and Alerting 10 %
System tables, Lakeflow event log, query profiler, streaming monitoring
05 — Ensuring Data Security and Compliance 10 %
Access control, secrets, audit/lineage, network security
06 — Debugging and Deploying 10 %
Asset Bundles, CI/CD, Git folders, unit testing, Spark UI, CLI, REST API
07 — Data Ingestion & Acquisition 7 %
Auto Loader, batch ingestion patterns
08 — Data Governance 7 %
Unity Catalog, UC Volumes vs DBFS
09 — Data Modelling 6 %
Medallion architecture, Delta fundamentals, schema management, SCD
10 — Data Sharing and Federation 5 %
Delta Sharing, Lakehouse Federation
After completing this certification, explore advanced architecture and design questions:
Interview Prep Resource - System design, Delta Lake internals, pipeline architecture, performance optimization, and more
Before starting this certification, review:
Phase 1: Foundations (weeks 1–2) Phase 2: Core Processing (weeks 3–4) Phase 3: Operations & Optimization (weeks 5–6) Phase 4: Governance & Sharing (week 7) Phase 5: Exam Prep (week 8)
Advanced Data Engineering with Databricks — primary exam-prep courseData Management and Governance with Unity Catalog Build Data Pipelines with Lakeflow Declarative Pipelines Automated Deployment with Databricks Asset Bundles