Databricks Certified Data Engineer Associate Practice Tests

You do not pass the Databricks Certified Data Engineer Associate exam by memorizing definitions. You pass it by reasoning through real data-engineering scenarios on the Databricks Data Intelligence Platform, under a 90-minute clock, with 45 scored questions in front of you. These 6 practice tests put you in exactly that seat: 270 single-best-answer questions, each one framed as a situation a working data engineer actually faces, each one explained in full so you learn from every attempt.

What makes these practice tests different

• Documentation-verified. Every question and every explanation is checked against the official Databricks documentation  and the Apache Spark documentation. You learn the platform as it actually behaves, not as a guess.

• Blueprint-weighted to the real exam. Questions are distributed across the seven exam domains in proportion to their weight: Data Ingestion and Loading (22.2%), Data Transformation and Modeling (22.2%), Troubleshooting, Monitoring, and Optimization (15.6%), Working with Lakeflow Jobs (11.1%), Implementing CI/CD (11.1%), Governance and Security (11.1%), and the Databricks Data Intelligence Platform (6.7%). A note on those percentages: the official exam guide does not publish per-domain weights, so these are inferred from the number of objective bullets the guide lists under each domain. They mirror the real exam emphasis closely, and they put the heaviest study where the exam puts the heaviest load: ETL, PySpark, and ingestion.

• Every option is explained. Each answer explanation addresses all four choices by name, telling you why the correct option is correct and why each of the other three is wrong. You leave each question understanding the concept, not just the letter.

• Current Lakeflow and Unity Catalog terminology. These tests use the current product names the live exam uses: Lakeflow Jobs (formerly Databricks Workflows / Jobs), Lakeflow Connect, Lakeflow Spark Declarative Pipelines (formerly Delta Live Tables / DLT), Automation Bundles (formerly Databricks Asset Bundles / DABs), Databricks Git Folders (formerly Databricks Repos), and the Databricks Data Intelligence Platform (formerly the Lakehouse Platform), alongside stable terms like Unity Catalog, Delta Lake, Auto Loader, COPY INTO, Liquid Clustering, and predictive optimization. You will not waste a single answer on a retired name.

The Databricks Certified Data Engineer Associate exam consists of 45 scored multiple-choice questions delivered in 90 minutes. It is proctored online or at a test center, with no test aids permitted. There is no required prerequisite, though Databricks recommends related training plus roughly six months of hands-on experience. The certification is valid for two years, after which you recertify on the then-current live exam. The exam is offered in English, Japanese, Portuguese (Brazil), and Korean.

One important note on scoring: Databricks does not publish a fixed passing score for its associate exams. Scoring is scaled. The 70% pass mark used inside these practice tests is a study convention to help you gauge readiness, not the official Databricks cut score. Treat it as a target to clear comfortably, not as a guaranteed line.

These practice tests cover the full exam blueprint: the Databricks Data Intelligence Platform and its architecture, Delta Lake and Unity Catalog; data ingestion and loading with COPY INTO, Auto Loader, and Lakeflow Connect; data transformation and modeling with PySpark and SQL across the medallion architecture; orchestration with Lakeflow Jobs; CI/CD with Databricks Git Folders, Automation Bundles, and the Databricks CLI; troubleshooting, monitoring, and optimization with the Spark UI, Liquid Clustering, and predictive optimization; and governance and security with Unity Catalog GRANT, REVOKE, DENY, column masking, row-level security, and ABAC policies.