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:
- Databricks Tooling – 20%
- Data Processing – 30%
- Data Modeling – 20%
- Security and Governance – 10%
- Monitoring and Logging – 10%
- 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
- Databricks Streaming and Delta Live Tables
- Databricks Data Privacy
- Databricks Performance Optimization
- Automated Deployment with Databricks Asset Bundle
Getting Ready for the Exam
- Review the Data Engineer Professional Exam Guide to understand what will be on the exam
- Take the related training
- Register for the exam
- Review the technical requirements and run a system check
- Review the exam guide again to identify any gaps
- Study to fill in the gaps
- 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.
Registration
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