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Databricks · DB-DEP · Professional

Databricks Certified Data Engineer Professional

Validates advanced data engineering skills on Databricks including complex pipeline design, performance optimization, security, and governance. 59+ AI-generated practice questions with explanations. Free trial, pass guarantee.

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59 Questions
120min Time Limit
70/ 100 Pass Score
$200 Exam Fee

Overview

About the exam

The Databricks Certified Data Engineer Professional exam targets experienced engineers who build and optimize production data systems on the Databricks Lakehouse Platform. It covers advanced pipeline design, performance tuning, cost optimization, security, governance, and CI/CD deployment patterns. The exam expects deep familiarity with Delta Lake internals, Unity Catalog governance, and Spark performance characteristics.

Exam Domains

What's on the exam

The exam consists of 59 scored multiple-choice questions to be completed in 120 minutes. No test aids are allowed. Unscored pilot questions may appear. The exam is delivered online or at a Pearson VUE test center. Databricks does not publish an official passing score. The displayed score is a conservative estimate based on industry standards.

Developing Code for Data Processing 22%

Advanced Python and SQL for data processing, complex transformations, custom functions, and coding best practices on Databricks.

Data Ingestion and Acquisition 7%

Advanced ingestion patterns, schema evolution, data acquisition from diverse sources, and handling complex data formats.

Data Transformation, Cleansing, and Quality 10%

Advanced data quality frameworks, expectations, cleansing strategies, and complex transformation patterns.

Data Sharing and Federation 5%

Delta Sharing, cross-workspace data access, data federation patterns, and external data integration.

Monitoring and Alerting 10%

Pipeline monitoring, alerting strategies, logging, observability, and troubleshooting production data workflows.

Cost and Performance Optimization 13%

Spark performance tuning, cluster sizing, Liquid Clustering, Z-ordering, caching strategies, and cost management.

Ensuring Data Security and Compliance 10%

Data encryption, access controls, audit logging, compliance frameworks, and security best practices on Databricks.

Data Governance 7%

Unity Catalog advanced features, data lineage, tagging, classification, and governance policies.

Debugging and Deploying 10%

CI/CD for data pipelines, Databricks Asset Bundles, testing strategies, debugging techniques, and deployment automation.

Data Modelling 6%

Medallion architecture design, dimensional modeling, slowly changing dimensions, and data modeling best practices for lakehouses.

Format

What to expect

multiple choice
100%

Watch out

Where candidates struggle

This is a significantly harder exam than the Associate level. Performance optimization questions require understanding Spark internals, not just API usage. Know Liquid Clustering vs Z-ordering trade-offs, understand Databricks Asset Bundles for CI/CD, and be prepared for scenario-based questions about debugging failed pipelines. The Data Sharing and Federation section is small but tests Delta Sharing specifics that many candidates overlook.

Details

Exam logistics

Registration fee is $200 USD. Available in English, Japanese, Portuguese (BR), and Korean. No prerequisites required, though 1+ years of experience is recommended. Certification is valid for 2 years.

Delivery Online proctored or test center
Retake policy No mandatory waiting period. Retake fee applies.
Validity 2 years
Career outcomes Senior Data Engineer, Lead Data Platform Engineer, Data Architecture Specialist, Lakehouse Architect
Renewal Recertification required every 2 years by taking the current exam version.
Study time ~120 hours
Official guide View on vendor site

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