Databricks Databricks-Certified-Professional-Data-Engineer Exam Dumps FAQs
The Databricks-Certified-Professional-Data-Engineer certification validates your ability to design and implement production-grade data engineering solutions using the Databricks Lakehouse Platform. Its ideal for those with hands-on experience in Spark, Delta Lake, and structured streaming. The exam tests your skills in building optimized ETL pipelines, modeling data, and applying governance and deployment best practices.
The Databricks-Certified-Professional-Data-Engineer exam includes six weighted domains:
- Databricks Tooling – 20%
- Data Processing – 30%
- Data Modeling – 20%
- Security & Governance – 10%
- Monitoring & Logging – 10%
- Testing & Deployment – 10%
Each section assesses your ability to work with Delta Lake, Spark, structured streaming, and deployment tools like REST API and CLI.
The Databricks-Certified-Professional-Data-Engineer exam is ideal for data engineers, ETL developers, and analytics professionals working with big data tools and platforms like Spark and Databricks. If you build or manage data pipelines and work with data lakes or lakehouses, this certification is a perfect fit.
The Databricks-Certified-Professional-Data-Engineer exam consists of 60 multiple-choice questions. Youll have 120 minutes to complete it. Its delivered online via a proctored platform, and no external aids are allowed. The questions are scenario-based and require practical understanding of Databricks tools and workflows.
You need to score at least 70% to pass the Databricks-Certified-Professional-Data-Engineer exam. While Databricks doesnt officially publish the exact cut-off, most candidates report that 70% is the benchmark for success.
The Difference Between Databricks Databricks-Certified-Professional-Data-Engineer and Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Certifications:
- Databricks-Certified-Professional-Data-Engineer Exam: The Databricks-Certified-Professional-Data-Engineer Exam focuses on advanced data engineering workflows. It tests your ability to build production-grade ETL pipelines, model data in the Lakehouse, and apply governance, monitoring, and deployment strategies using tools like Delta Lake, Spark, and REST APIs.
- Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Exam: The Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Exam emphasizes Spark programming fundamentals. It assesses your ability to write, optimize, and troubleshoot Spark applications using the DataFrame API. The focus is on coding proficiency, Spark architecture, and data manipulation tasks.
Yes! ValidTests provides expert-crafted Databricks-Certified-Professional-Data-Engineer practice tests, updated study guides, and topic-wise breakdowns aligned with the latest Databricks syllabus. Our Databricks-Certified-Professional-Data-Engineer exam material are designed to help students, professionals, and trainers prepare efficiently and confidently.
Absolutely. Databricks certifications are highly respected in the data engineering field. They validate your ability to work with cutting-edge tools and can boost your career prospects, salary, and credibility with employers.
The registration fee for the Databricks-Certified-Professional-Data-Engineer exam is $200 USD. Taxes may apply depending on your location. Databricks occasionally offers bundle discounts or promotions.