Free Databricks Exam Questions
Databricks Certified Data Engineer Professional
Practice with our comprehensive collection of free Databricks Certified Data Engineer Professional exam questions. All questions are aligned with the latest exam guide and include detailed explanations to help you master the material.
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Exam Information
Exam Details
Complete information about the Databricks Certified Data Engineer Professional certification exam
59 scored multiple-choice questions
120 minutes (2 hours)
USD 200 (plus applicable taxes)
2 years
Online or test center
Prerequisites: No required prerequisites, but course attendance and 1 year of hands-on experience in Databricks is highly recommended.
Exam Topics & Skills Assessed
Key technologies and domains covered in the Professional Data Engineer exam
Core Databricks Technologies:
- Delta Lake - ACID transactions, schema evolution, time travel, optimization
- Unity Catalog - Data governance, access control, metadata management
- Lakeflow Declarative Pipelines - Building and managing production ETL pipelines
- Auto Loader - Efficient data ingestion from cloud storage
- Databricks Compute - Clusters, serverless compute, job orchestration
- Medallion Architecture - Bronze, Silver, Gold data architecture patterns
Exam Sections (10 Main Domains):
- Developing Code for Data Processing using Python and SQL
- Data Ingestion & Acquisition
- Data Transformation, Cleansing, and Quality
- Data Sharing and Federation
- Monitoring and Alerting
- Cost & Performance Optimisation
- Ensuring Data Security and Compliance
- Data Governance
- Debugging and Deploying
- Data Modelling
Advanced Skills Tested:
- Designing secure, reliable, and cost-effective ETL pipelines
- Processing complex data from diverse sources using Python and SQL
- Schema management, observability, and governance best practices
- Streaming workloads and real-time data processing
- CI/CD with Databricks Asset Bundles and Git integration
- Performance optimization (data skipping, file pruning, liquid clustering)
- Data security (row filters, column masks, PII detection and masking)
- Delta sharing and Lakehouse Federation
About the Databricks Certified Data Engineer Professional Certification
The Databricks Certified Data Engineer Professional certification validates your advanced expertise in building, optimizing, and maintaining production-grade data engineering solutions on the Databricks Lakehouse Platform. This professional-level certification demonstrates mastery of complex data engineering tasks, including designing secure ETL pipelines, implementing streaming workloads, optimizing performance, and ensuring data governance and compliance.
This certification is ideal for experienced data engineers who work extensively with Databricks and need to demonstrate advanced skills in production environments. Successful candidates can expect to handle complex data engineering challenges, optimize costs and performance, implement security best practices, and orchestrate reliable data pipelines at scale.