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Practice Test - Databricks Data Engineer Professional

Practice Test - Databricks Data Engineer Professional

Become [ Databricks Certified Data Engineer Professional ] certified and boost your career
Last updated 8/2025
English

What you'll learn

  • Gain a deep understanding of the Databricks Data Engineer Professional certification exam structure
  • Practice with realistic, exam-style questions that reflect the latest Databricks curriculum
  • Strengthen their knowledge of Apache Spark, Delta Lake, data ingestion, ETL pipelines, and data governance
  • Build confidence in solving scenario-based questions and applying best practices in data engineering

Included in This Course

90 questions
  • Databricks Certified Data Engineer Professional30 questions
  • Databricks Certified Data Engineer Professional60 questions

Description

                                                                     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, 日本語, Português BR, 한국어

Delivery method: Online proctored

Prerequisites: None, but related training highly recommended

Recommended experience: 3+ 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.

Who this course is for:

  • Experienced professionals looking to validate their skills in Apache Spark, Delta Lake, and Databricks Lakehouse architecture
  • Aspiring data engineers preparing for the Databricks Data Engineer Professional certification