Databricks Certified Data Engineer Associate
Use the Databricks Lakehouse Platform to complete introductory data engineering tasks
Databricks Certified Data Engineer Associate
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 exam covers:
Databricks Lakehouse Platform – 24%
ELT With Spark SQL and Python – 29%
Incremental Data Processing – 22%
Production Pipelines – 16%
Data Governance – 9%
Assessment Details
Type: Proctored certification
Total number of questions: 45
Time limit: 90 minutes
Registration fee: $200
Question types: Multiple choice
Test aides: None allowed
Languages: English, 日本語, Português BR
Delivery method: Online proctored
Prerequisites: None, but related training highly recommended
Recommended experience: 6+ months of hands-on experience performing the data engineering tasks outlined in the exam guide
Validity period: 2 years
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.
Related Training
Instructor-led: Data Engineering With Databricks
Self-paced: Data Engineering With Databricks (available in Databricks Academy)
Getting Ready for the Exam
Review the Data Data Engineer Associate Exam Guide to understand what will be on the exam
Take the related training
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
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