DATABRICKS · Associate Developer for Apache Spark

Databricks Associate Developer for Apache Spark Exam Practice Questions

342 questionsPDF by emailUpdated September 2026

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342 practice questions for the Databricks Certified Associate Developer for Apache Spark, with full explanations.

Every question comes with the correct answer, the reasoning behind it, and a short note on why each wrong option is wrong. Work through it once with the answers, then again with the questions-only copy under exam conditions.

  • 342 questions mapped to the Associate Developer for Apache Spark exam guide
  • Answers and explanations for every question, including the wrong options
  • A questions-only PDF for timed practice runs
  • Instant delivery by email the moment you check out
  • Free monthly updates for as long as the exam is live
  • Pass or your money back

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Last updated September 2026 · 342 questions

What makes the Associate Developer for Apache Spark hard

The exam was rebuilt for Apache Spark 3.5, and the rebuild changed its character. The old version was mostly DataFrame API syntax recall with a small architecture section. The current one adds Structured Streaming, the Pandas API on Spark and Spark Connect, and asks more often why a job behaves the way it does.

It is 45 scored questions in 90 minutes, Python only, and there is no documentation available during the exam, so the API surface has to be in your head. Developing DataFrame applications is the largest section: selecting, filtering, joining, aggregating and sorting, column expressions, handling nulls and dates, user-defined functions, reading and writing Parquet, Delta, JSON and CSV, and the difference between transformations and actions.

Most misses are on lazy evaluation and on which operation triggers a shuffle.

About the exam

The Databricks Certified Associate Developer for Apache Spark validates the ability to use the Spark DataFrame API in Python to complete data manipulation tasks, and an understanding of Spark architecture, Spark SQL, Structured Streaming, the Pandas API on Spark and Spark Connect, on Apache Spark 3.5. There are no prerequisites.

Exam topic areas

  • Apache Spark architecture and components
  • Using Spark SQL
  • Developing Apache Spark DataFrame and Dataset API applications
  • Troubleshooting and tuning Spark applications
  • Structured Streaming
  • Pandas API on Spark and Spark Connect

Databricks publishes section weightings in the current exam guide. 45 scored multiple-choice questions plus possible unscored items, 90 minutes, passing score not published by Databricks (commonly cited as 70%), US$200 per attempt, online proctored or test centre, valid for two years.

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