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Databricks Exam Syllabus

Data Engineer Associate syllabus, skills measured, and exam topics

Get certified as a Databricks Data Engineer Associate. Learn to use the Databricks Lakehouse Platform for data engineering tasks.

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Exam details

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Total number of scored questions 45
Question types Multiple choice
Languages English, 日本語 , Português BR , 한국어
Delivery method Online or test center
Prerequisites None, but related training highly recommended
Recommended experience hands-on experience performing the data engineering tasks outlined in the exam guide.
Recertification Recertification is required every two years to maintain your certified status. To recertify, you must take the current version of the exam. Please review the “Getting Ready for the Exam” section below to prepare for your recertification exam.
Unscored content Exams may include unscored items to gather statistical information for future use. These items are not identified on the form and do not impact your score. Additional time is factored into the exams to account for this content.

What to know before you study

These sections explain the role, audience, and exam framing behind the outline.

Databricks Certified Data Engineer Associate

  • The Databricks Certified Data Engineer Associate certification exam assesses an individual’s ability to use the Databricks Data Intelligence Platform to complete introductory data engineering tasks. This includes an understanding of the Data Intelligence Platform (a multi-cloud environment) and its workspace, its architecture, and its capabilities. It also assesses the ability to perform ETL tasks using Apache Spark SQL or PySpark, covering extraction, complex data handling and User defined functions. Finally, the exam assesses the tester’s ability to deploy and orchestrate workloads with Databricks workflows configuring and scheduling jobs effectively. Individuals who pass this certification exam can be expected to complete basic data engineering tasks using Databricks and its associated tools.
  • Databricks Intelligence Platform - 10%
  • Development and Ingestion - 30%
  • Data Processing & Transformations - 31%
  • Productionizing Data Pipelines - 18%
  • Data Governance & Quality - 11%

Getting Ready for the Exam

  • Review the Data Engineer Associate Exam Guide to understand what will be on the exam
  • Take the related training outlined in the Exam Guide
  • Register for the exam
  • Review the technical requirements for taking an online proctored exam and run a system check
  • Review the exam guide again to identify any gaps
  • Study to fill in the gaps
  • Take your exam!
  • Data manipulation code in this exam is provided in SQL when possible. In all other cases, code will be in Python.

Registration

  • To register for a certification exam, please log in or create an account on our exam delivery platform .