Udemy

Databricks Certified Data Engineer Professional | 2026

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  • 175 Students
  • Updated 1/2026
4.1
(26 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
0 Hour(s) 0 Minute(s)
Language
English
Taught by
Algoholic.io ™
Rating
4.1
(26 Ratings)

Course Overview

Databricks Certified Data Engineer Professional | 2026

Pass Databricks Data Engineer Professional in 1 Attempt by mastering data pipeline and lakehouse principles.

Welcome to the Databricks Certified Data Engineer Professional practice test, designed specifically for aspiring data engineers who seek to validate their skills and knowledge in the Databricks ecosystem. This comprehensive practice test mimics the structure and style of the actual certification exam, offering candidates a valuable resource to enhance their preparation.


Topics Covered

The practice test encompasses a wide range of essential topics, including:


  • Data ingestion and processing with Databricks

  • Data Lake and Delta Lake concepts

  • Apache Spark fundamentals and performance optimization

  • Data pipeline design and implementation

  • ETL (Extract, Transform, Load) processes

  • Collaboration and version control in Databricks

  • Machine learning models deployment on Databricks

  • Monitoring and troubleshooting issues in data workflows


Difficulty Level

The questions within this practice test have been thoughtfully crafted to reflect a range of difficulty levels — from foundational to advanced. This structured approach allows users to gauge their understanding of basic concepts while also challenging themselves with more complex problems, ensuring a well-rounded preparatory experience.


Test Format

The practice test consists of multiple-choice questions, providing a realistic exam experience. Each question will present a scenario or problem that data engineers might face in real-world scenarios, along with several options for answers. Users will receive immediate feedback on their performance, enabling them to identify strengths and focus areas for further study.


Additional Features

In addition to the practice questions, this test offers:

Detailed explanations for each answer, providing valuable insight into the correct options and the rationale behind them.

Performance analytics that track progress and highlight improvement areas over time.

Unlimited access to the practice test, allowing users to take as many attempts as they need.


Prepare yourself for the Databricks Certified Data Engineer Professional exam with confidence. This practice test is an essential step in your certification journey, enabling you to solidify your knowledge, enhance your skills, and approach the actual exam with a strong sense of readiness. Start your preparation today and take the first step towards validation of your expertise in the Databricks environment.

Course Content

  • 1 section(s)
  • Section 1 Practice Tests

What You’ll Learn

  • Understand data engineering concepts and best practices.
  • Develop and manage scalable data pipelines using Databricks.
  • Implement data governance measures in Databricks.
  • Utilize Apache Spark for data processing and transformation.


Reviews

  • C
    Capri Mahal
    1.0

    The question sets are out dated now. I took the cert exam today and there are none from these question sets. I would avoid paying for this course.

  • M
    Martin
    5.0

    I am giving the review after attending the exam on 19 Nov 25. The questions were very similar to these 180 questions. I also liked the coverage around executer nodes, and explanations around cluster event logs. Most questions were from this test only.

  • R
    Ruby Thompson
    5.0

    I do like the difficult questions on etl pipelines, adv spark conf, and delta lake optimization. Question level is same as of actual exam as told by my manager. So far liking it, currently at test 2 revision.

  • O
    Oliver Bennet
    5.0

    I have taken databricks pro at many platforms. This test series I find a bit superior for sure. Focus on databricks commands and comaprision with python functions in explanations are good. Overall I find it around 9/10

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