Databricks Certified Data Engineer Associate Certification
Get prepared for Databricks Data Engineer Certification Exam | Python | Practice Test
This mock test is designed to help you practice and check your readiness for the exam. We have 4 mock test sets. Just like the actual exam, each mock test contains 45 multiple-choice questions.
Databricks Lakehouse Platform – 24% (11/45)
ELT with Spark SQL and Python – 29% (13/45)
Incremental Data Processing – 22% (10/45)
Production Pipelines – 16% (7/45)
Data Governance – 9% (4/45)
4 Practice Sets | 180 Questions | Explanations
Important Tips for Databricks Certifications
About - Databricks Certified Data Engineer Associate
Databricks Official Practice Test - Evaluation Mode
Databricks Official Practice Test - Review Mode
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Practice Test 1 - Evaluation Mode
Practice Test 1 - Review Mode
Review Rating
Practice Test 2 - Evaluation Mode
Practice Test 2 - Review Mode
Practice Test 3 - Evaluation Mode
Practice Test 3 - Review Mode
What do you need to know before you start this course
Knowledge of PySpark Programming, Spark Architecture and Advanced Spark Concepts
Knowledge of Spark Structured Streaming, Databricks Cloud Platform, Unity Catalog and Lakehouse Architecture
We provide 1-year access to the course material.
No. This course does not have any refund policy.
The practice test comes with a proper explanation for each question. You may not need any support for this course. However, you can contact the course coordinator on WhatsApp if you need help.
Get in touch with your course coordinator to request free access to this course. We provide 3 months conditional free access to this course for verified and selected learners.
Want to speak to your course coordinator? We are just a WhatsApp message away.
Drop us an email with all your queries and questions and we will get back to you over the email.
Schedule a call with course coordinator for bundles, discounts and live sessions
Master Spark programming in Python (PySpark) from beginner to advanced. Hands-on learning and Capstone project.
Master Apache Spark Structured Streaming and incremental data processing. Scenario based learning and Capstone project.
Master Azure Databricks Cloud platform capabilities and Lakehouse architecture. Micro-projects and Capstone project.