Databricks Certified Associate Developer for Apache Spark Exam Practice Test

This is a performance-based exam. You will be presented with a series of coding tasks within a Databricks notebook environment and must write functional Spark DataFrame/SQL code to solve them. It tests your ability to produce working solutions, not just recognize correct concepts.

Databricks recommends at least 6 months of hands-on experience using Apache Spark. You should be comfortable performing core data frame operations (select, filter, aggregate, join) daily. Theoretical knowledge from courses alone is typically insufficient without practical application.

No. The Associate Developer exam focuses exclusively on the core Spark DataFrame API and Spark SQL for batch data processing. Advanced topics like Spark Streaming, MLlib, and GraphX are not part of this certification's scope. It is deliberately focused on foundational data engineering skills.

Precise and efficient use of the DataFrame API for transformations and aggregations. You must be able to choose the correct methods and built-in functions to manipulate data without resorting to inefficient workarounds like excessive use of user-defined functions (UDFs) or collecting data to the driver.

Yes, you can choose either the Python (PySpark) or Scala version of the exam at the time of registration. The concepts and API calls are virtually identical, so you should prepare using your language of choice. You cannot switch languages during the exam.