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Databricks Certified Data Engineer Professional

Use Databricks to perform advanced data engineering tasks



Databricks Certified Data Engineer Professional

The Databricks Certified Data Engineer Professional certification exam assesses an individual’s ability to use Databricks to perform advanced data engineering tasks. This includes an understanding of the Databricks platform and developer tools like Apache Spark™, Delta Lake, MLflow, and the Databricks CLI and REST API. It also assesses the ability to build optimized and cleaned ETL pipelines. Additionally, the ability to model data into a lakehouse using knowledge of general data modeling concepts will be assessed. Finally, being able to ensure that data pipelines are secure, reliable, monitored and tested before deployment will also be included in this exam. Individuals who pass this certification exam can be expected to complete advanced data engineering tasks using Databricks and its associated tools.

The exam covers:

  1. Databricks Tooling – 20%
  2. Data Processing – 30%
  3. Data Modeling – 20%
  4. Security and Governance – 10%
  5. Monitoring and Logging – 10%
  6. Testing and Deployment – 10%

Assessment Details

Type: Proctored certification

Total number of questions: 60

Time limit: 120 minutes

Registration fee: $200

Question types: Multiple choice

Test aides: None allowed

Languages: English

Delivery method: Online proctored

Prerequisites: None, but related training highly recommended

Recommended experience: 1+ years 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: Advanced Data Engineering With Databricks
  • Self-paced (available in Databricks Academy): Advanced Data Engineering with Databricks
  • Certification Overview Course for the Databricks Certified Data Engineer Professional Exam

Getting Ready for the Exam

  1. Review the Data Engineer Professional Exam Guide to understand what will be on the exam
  2. Take the related training
  3. Register for the exam
  4. Review the technical requirements and run a system check
  5. Review the exam guide again to identify any gaps
  6. Study to fill in the gaps
  7. Take your exam!

Code examples in this exam will primarily be in Python. However, any and all references to Delta Lake functionality will be made in SQL.


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