Databricks Certified Apache Spark 3.0 Python Exam Tests

Databricks Certified Apache Spark 3.0 Python Exam Tests

Welcome!

The following practice tests are tailored for those who wish to prepare for the Databricks Certified Associate Developer for Apache Spark 3.0 with Python exam. I recently got certified and decided to recreate a similar exam as I know how challenging it was to find any good practice materials on the internet.

Notice: The following tests are not accredited or approved by Databricks; they only represent my experience on the exam.

Please go through the official exam guide carefully. You should have a basic understanding of the Spark architecture and be able to apply the Spark DataFrame API to complete individual data manipulation tasks like selecting and renaming columns; filtering and sorting; joining, reading and writing DataFrames; working with UDFs and Spark SQL functions.

Tips for the actual exam: The 'pdf' with the documentation provided when you attend the real exam is not an actual pdf and you cannot search it like you are used to so don't rely too much on it. On the actual exam if the software cannot find your camera try plugging in your headset. In my case this worked. Of course unplug and remove the headset after that as you are not allowed to use it.

You are welcome to leave your feedback or drop me a message if you have any questions.

Good luck everyone!

Prepare for the Databricks Certified Associate Developer for Apache Spark 3.0 with Python Certification Exam

Url: View Details

What you will learn

• Understand the Spark architecture
• Apply the Spark DataFrame API
• Test your knowledge before attending the Databricks Certified Associate Developer for Apache Spark 2.4/3.0 with Python Certification Exam

Rating: 4.35

Level: All Levels

Duration: 120 questions

Instructor: Ivan T