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Databricks · DB-DEP · Professional

Databricks Data Engineer Professional — Practice Questions and Mock Exam

Practice real DB-DEP questions, never dumps. Alex explains every answer, and your readiness score tells you when you're ready to pass.

59Questions
120minTime Limit
70/ 100Pass Score

Checked against Databricks · April 2026Current exam version

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.

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 Processing22%

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

Data Ingestion and Acquisition7%

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

Data Transformation, Cleansing, and Quality10%

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

Data Sharing and Federation5%

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

Monitoring and Alerting10%

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

Cost and Performance Optimization13%

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

Ensuring Data Security and Compliance10%

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

Data Governance7%

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

Debugging and Deploying10%

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

Data Modelling6%

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

SourceDatabricks exam page

What to expect

Multiple Choice100%

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Practice real DB-DEP questions

Five sample questions from our Databricks Certified Data Engineer Professional bank. Answer one — Alex, your AI tutor, explains the why. Real prep, never dumps.

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.

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.

Exam fee$200
DeliveryOnline proctored or test center
Retake policyNo mandatory waiting period. Retake fee applies.
Validity2 years
Career outcomesSenior Data Engineer, Lead Data Platform Engineer, Data Architecture Specialist, Lakehouse Architect
RenewalRecertification required every 2 years by taking the current exam version.
Study time~120 hours
Official guideView on vendor site

SourceDatabricks exam page

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