Databricks Certified Associate Developer for Apache Spark - Python
Get prepared for Spark certification Exam | Python | Practice Test
This mock test is designed to help you practice and check your readiness for the exam. We have five mock test sets. Just like the actual exam, each mock test contains 60 multiple-choice questions.
Apache Spark Architecture Concepts – 17%
Apache Spark Architecture Applications – 11%
Apache Spark DataFrame API Applications – 72%
5 Practice Sets | 300 Questions | Explanations
Important Tips for Databricks Certifications
About - Databricks Certified Associate Developer for Apache Spark 3.0 - Python
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
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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
A Recent 64-bit Windows/Mac Machine with 8 GB RAM & Internet Connection
We provide 1-year access to the course material from the date of purchase.
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.