200+ Free Databricks Data Engineer Professional Practice Questions
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Key Facts: Databricks Data Engineer Professional Exam
59
Scored Questions
Databricks
120 min
Time Limit
Databricks
$200
Exam Fee
Databricks
2 years
Validity
Databricks
Online/Test Center
Delivery
Databricks
22%
Largest Domain
Developing Code
As of March 10, 2026, the current Databricks Data Engineer Professional exam page lists 59 scored questions, a 120-minute time limit, a $200 registration fee, online or test-center delivery, 2-year validity, and 10 weighted sections led by Developing Code for Data Processing using Python and SQL (22%) and Cost & Performance Optimisation (13%). Databricks does not publicly publish a fixed passing score on the current exam page.
About the Databricks Data Engineer Professional Exam
The Databricks Certified Data Engineer Professional exam measures advanced, production-focused data engineering skills on the Databricks Data Intelligence Platform. The public Databricks exam page emphasizes secure, reliable, and cost-effective ETL pipelines, complex data processing with Python and SQL, streaming workloads, workflow orchestration, observability, governance, CI/CD, and deployment tooling such as the Databricks CLI, REST API, and Asset Bundles.
Questions
59 scored questions
Time Limit
120 minutes
Passing Score
Databricks does not publicly publish a fixed passing score
Exam Fee
$200 (Databricks / Kryterion)
Databricks Data Engineer Professional Exam Content Outline
Developing Code for Data Processing using Python and SQL
Author reliable Spark SQL and PySpark logic for batch and streaming pipelines, Delta workloads, and robust production-grade data processing patterns.
Data Ingestion & Acquisition
Implement ingestion patterns such as Auto Loader, CDC, schema evolution handling, and repeatable acquisition flows for raw and incremental data.
Data Transformation, Cleansing, and Quality
Apply standardization, deduplication, expectations, and transformation logic that produces trusted silver and gold datasets.
Data Sharing and Federation
Share governed data products with Delta Sharing, query external systems with Lakehouse Federation, and design secure external access patterns.
Monitoring and Alerting
Observe jobs and pipelines with system tables, run history, metrics, and alerting workflows so failures are detected and triaged quickly.
Cost & Performance Optimisation
Tune storage layout, file sizing, Photon usage, compute choices, clustering, and workload design for efficient, scalable pipeline execution.
Ensuring Data Security and Compliance
Enforce least privilege, secrets management, network and data protection controls, auditing, and compliance-aware platform usage.
Data Governance
Use Unity Catalog catalogs, schemas, lineage, tags, and governed sharing to manage discoverability, stewardship, and policy enforcement.
Debugging and Deploying
Debug failures, package projects, and deploy production solutions with workflows, the Databricks CLI, REST API, Repos, and Asset Bundles.
Data Modelling
Design medallion and analytics-ready models that support maintainable downstream consumption and performant business-facing datasets.
How to Pass the Databricks Data Engineer Professional Exam
What You Need to Know
- Passing score: Databricks does not publicly publish a fixed passing score
- Exam length: 59 questions
- Time limit: 120 minutes
- Exam fee: $200
Keys to Passing
- Complete 500+ practice questions
- Score 80%+ consistently before scheduling
- Focus on highest-weighted sections
- Use our AI tutor for tough concepts
Databricks Data Engineer Professional Study Tips from Top Performers
Frequently Asked Questions
How many questions are on the Databricks Data Engineer Professional exam?
The current Databricks exam page lists 59 scored questions. Databricks also states that exams may include unscored items for statistical use, and that extra time is already factored in for that content.
How long is the Databricks Data Engineer Professional exam?
Databricks currently lists a 120-minute time limit for the professional data engineer exam. The exam is proctored and the current public page says you can take it online or at a test center.
What are the current Databricks Data Engineer Professional domain weights?
As of March 10, 2026, Databricks lists 10 weighted sections: Developing Code for Data Processing using Python and SQL (22%), Data Ingestion & Acquisition (7%), Data Transformation, Cleansing, and Quality (10%), Data Sharing and Federation (5%), Monitoring and Alerting (10%), Cost & Performance Optimisation (13%), Ensuring Data Security and Compliance (10%), Data Governance (7%), Debugging and Deploying (10%), and Data Modelling (6%).
Does Databricks publish a fixed passing score for the professional exam?
The current public Databricks exam page and exam guide do not publish a fixed passing score for this exam. When preparing, it is safer to target strong accuracy across all weighted sections instead of planning around an unofficial score estimate.
Are there formal prerequisites for Databricks Data Engineer Professional?
Databricks lists no formal prerequisites, but says related training is highly recommended. The same page also recommends hands-on experience performing the data engineering tasks covered in the exam guide.
What changed in the current Databricks professional exam version?
The current public Databricks professional page emphasizes the Databricks Data Intelligence Platform, Lakeflow Spark Declarative Pipelines, Databricks Compute including serverless, Unity Catalog, Asset Bundles, and both online and test-center delivery. As of March 10, 2026, no separate 2026 regulatory change notice was found beyond the current public exam page and the November 30, 2025 exam guide now in force.