Practice Exams: Databricks Certified Associate Developer

This is a no-frills practice exam that will help you prepare for the Databricks Certified Associate Developer - Apache Spark (Python) certification exam.

While other resources include irrelevant questions about cloud providers or advanced Spark development, this exam pulls questions directly from Databricks and other reputable sources.

As a reminder, Databricks suggests these as the minimum qualifications for any student looking to pass the exam:

• Understanding the basics of the Spark architecture, including Adaptive Query Execution

• Apply the Spark DataFrame API to complete individual data manipulation task, including:

  • selecting, renaming and manipulating columns

  • filtering, dropping, sorting, and aggregating rows

  • joining, reading, writing and partitioning DataFrames

  • working with UDFs and Spark SQL functions

There are 60 multiple-choice questions on the exam. The questions will be distributed by high-level topic in the following way:

• Apache Spark Architecture Concepts – 17% (10/60)

• Apache Spark Architecture Applications – 11% (7/60)

• Apache Spark DataFrame API Applications – 72% (43/60)

You must answer 42/60 questions correctly to pass the exam.

In addition to these practice exams, you can explore these official Databricks resources as well:

• Instructor-led: "Apache Spark Programming with Databricks"

• Self-paced: "Apache Spark Programming with Databricks (available in Databricks Academy)"

• "Certification Overview: Databricks Certified Associate Developer for Apache Spark Exam" course.

NOTE: These practice questions focus on the Python version of the exam. It is still helpful if you're preparing for the Scala version but will have some differences.