What Skills Will You Gain
Advanced data pipeline design and optimization
Data modeling and governance on the Lakehouse
Performance tuning for large-scale Spark workloads
Testing, deployment, and monitoring of data pipelines
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The Databricks Certified Data Engineer Professional course covers advanced data engineering, pipeline optimization, and governance on Databricks. You'll work through structured video lessons and exam-style practice questions that mirror the real Databricks DE Professional exam, building the practical judgment needed to apply these skills on the job. By the end, you'll be ready to sit the Databricks DE Professional exam and earn the Databricks Certified Data Engineer Professional credential. This Databricks Certified Data Engineer Professional training pairs guided lessons with a full Databricks Certified Data Engineer Professional practice test, so you walk into the Databricks DE Professional exam fully prepared.
Whether you're brand new to this area or brushing up before the Databricks DE Professional exam, this course paces the material so nothing feels rushed.
Advanced data pipeline design and optimization
Data modeling and governance on the Lakehouse
Performance tuning for large-scale Spark workloads
Testing, deployment, and monitoring of data pipelines
24x7 support from Others-certified experts
This course is valid for 2 years from the date of purchase
Practice tests with unique, exam-style questions
Detailed explanations for every practice question
Hands-on labs using real Others services
Downloadable Databricks DE Professional cheat sheet for quick revision
Official domain-by-domain weightings for the Databricks DE Professional exam were not included in the source data for this page, so the skill areas below are listed without percentage breakdowns. Verify current weightings on the vendor's official Databricks Certified Data Engineer Professional exam guide before publishing.
Advanced data pipeline design and optimization
Data modeling and governance on the Lakehouse
Performance tuning for large-scale Spark workloads
Testing, deployment, and monitoring of data pipelines
The Databricks Certified Data Engineer Professional course lays out a clear path to the Databricks DE Professional exam, so you're not guessing what to study next.
Start with the video lessons in this Databricks Certified Data Engineer Professional course to build a working understanding of the core concepts the Databricks DE Professional exam covers. Then move into the hands-on labs to apply what you've learned in a real environment instead of just reading about it.
Next, work through the Databricks DE Professional practice test set. Each Databricks Certified Data Engineer Professional practice test question comes with a detailed explanation, so a wrong pick becomes a lesson you actually retain.
When your Databricks DE Professional practice test scores stay consistently above the passing mark, you're ready to book the Databricks Certified Data Engineer Professional exam. For a fuller walkthrough, refer to a dedicated Databricks Certified Data Engineer Professional exam preparation guide alongside this course.
The Databricks DE Professional certification recommends holding the Associate Suggested certification first, though this may not be a strictly enforced prerequisite.
Once you pass, the Databricks Certified Data Engineer Professional certification stays valid for 2 Years. Before it expires, you can renew the Databricks DE Professional certification by retaking the current exam.
Many learners treat the Databricks Certified Data Engineer Professional certification as a step within a broader vendor certification track. Check Whizlabs' related course listings for a logical next-level credential once you've completed this Databricks DE Professional course.
This certification validates your ability to work with advanced data engineering, pipeline optimization, and governance on Databricks. It signals to employers that you can apply these skills in real Others projects, supporting stronger roles, responsibilities, and career growth.
Positions you for senior data engineers and data platform engineers roles, and signals proven, job-ready expertise in advanced data engineering, pipeline optimization, and governance on Databricks.
Helps your organization apply advanced data engineering, pipeline optimization, and governance on Databricks more effectively, reducing risk and improving efficiency in real deployments.
Deepens your hands-on understanding of advanced data engineering, pipeline optimization, and governance on Databricks, moving beyond theory into practical, job-ready skills.
Professional-level certifications like this are consistently linked to stronger salaries and career growth in Others-related roles.
Exam Format and Information
Prior Certification
Associate Suggested
Exam Validity
2 Years
Exam Fee
200 USD
Exam Duration
120 Minutes
No. of Questions
60 Questions
Passing Score
70%
Best for those with hands-on or working familiarity with advanced data engineering, pipeline optimization, and.
English.
Multiple choice questions.
There are no formal prerequisites for this exam. Hands-on experience with advanced data engineering, pipeline optimization, and governance on Databricks makes it more approachable. It's designed for senior data engineers, data platform engineers, and anyone building these skills.

Senior data engineers working with advanced data engineering, pipeline.

Data platform engineers preparing for professional-level certification.

IT professionals expanding into this specialization.

Consultants advising clients on Others best practices.

Students and career changers entering the field.

Anyone pursuing the Databricks DE Professional credential.

Get help from Others-certified trainers whenever you're stuck on a concept or question.

Practice with real Others services in guided labs that mirror the exam and the job.

Unique Databricks DE Professional style questions with detailed explanations from subject matter experts.

Explore live Others services in a ready-to-use sandbox environment.
Testimonials
Overall Feedbacks
4.9/5

4.8/5

Nadarajan Maharajan
Nadarajan Maharajan
Yes, you need to know how to code to an extent in order to get certified, but you don't require extensive programming knowledge to pass those tests.
Taking Databricks certification provides powerful ETL capabilities for data engineers, data scientists and data analysts with Delta Live Tables (DLT) and thus data engineering becomes easier.
Databricks Certified Data Engineer Professional certification valid for two years following the date on which each candidate passes the certification exam.
The Azure Databricks mainly used to process, store, clean, share, model, and monetize their datasets with the solutions ranging from BI to machine learning. You can use the Azure Databricks platform to construct many different applications to span various data personas.
Absolutely,taking this kind of certification can provide greater understanding of how Databricks can be used to solve data problems.
Yes, you can pass Databricks Certified Data Engineer Professional certification without any working experience.
Databricks is an ETL tool and it is used to accelerate the performance and functionality of ETL pipelines.
Databricks workspaces will be hosted on Amazon AWS, Microsoft Azure, and Google Cloud Platform. And thus you can use Databricks on any of these hosting platforms to access data wherever you keep it, regardless of the cloud.