Databricks Certified Data Engineer Associate Practice Tests 2026
- We are offering 729 latest real Databricks Certified Data Engineer Associate Exam Questions for practice, which will help you to score higher in your exam.
- Aim for above 85% or above in our mock exams before giving the main exam.Â
- Do review wrong & right answers and thoroughly go through explanations provided to each question which will help you understand the question.
- Master Cheat Sheet was prepared by instructors which contain personal notes of them for all exam objectives. Carefully written to help you all understand the topics easily.
- It is recommended to use the Master Cheat Sheet just before 2-3 days of the main exam to cram the important notes.
The Databricks Certified Data Engineer Associate certification exam assesses an individual’s ability to use the Databricks Lakehouse Platform to complete introductory data engineering tasks. This includes an understanding of the Lakehouse Platform and its workspace, its architecture, and its capabilities. It also assesses the ability to perform multi-hop architecture ETL tasks using Apache Spark™ SQL and Python in both batch and incrementally processed paradigms. Finally, the exam assesses the tester’s ability to put basic ETL pipelines and Databricks SQL queries and dashboards into production while maintaining entity permissions. Individuals who pass this certification exam can be expected to complete basic data engineering tasks using Databricks and its associated tools.
The Databricks Certified Data Engineer Associate Exam Questions 2026 covers:
- Databricks Intelligence Platform (10%): Focuses on understanding the Databricks platform architecture, features, and its role in enabling unified data and AI workflows.
- Development and Ingestion (30%): Covers building and managing data ingestion processes, notebooks, and integrations with various data sources.
- Data Processing & Transformations (31%): Emphasizes transforming and processing data efficiently using Spark SQL, Python, and Delta Lake.
- Productionizing Data Pipelines (18%): Involves orchestrating, scheduling, and monitoring production data pipelines for reliability and performance.
- Data Governance & Quality (11%): Addresses data access control, lineage, and maintaining data quality with Unity Catalog and compliance practices.
Assessment Details
Type:Â Proctored certification
Total number of questions:Â 45
Time limit:Â 90 minutes
Registration fee:Â $200 (Databricks partners get 50% off the registration fee)
Question types:Â Multiple choice
Test aides:Â None allowed
Languages:Â English
Delivery method:Â Online proctored
Prerequisites:Â None, but related training highly recommended
Recommended experience:Â 6+ months of hands-on experience performing the data engineering tasks outlined in the exam guide
Validity period:Â 2 years
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