Databricks Certified Data Engineer Professional certification Practice Tests with in-depth explanation for each question
What you will learn
Practice with Realistic Scenarios: Solve a comprehensive set of practice exams that mirror the format and difficulty level of the actual certification exam.
Identify Knowledge Gaps: Through the practice exams and detailed answer explanations, students will be able to pinpoint areas where they need further study.
Sharpen Exam-Taking Skills: Help students develop effective test-taking strategies like time management, understand question intent & selecting the best answer
Master Exam Content: Gain deep familiarity with the core concepts tested in the Databricks Professional Data Engineer certification exam.
Description
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 to maintain your certification status. Databricks Certifications are valid for two years from issue date.
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.