Databricks Associate Developer for Apache Spark Exam Practice Questions, practice question pack
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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Three of the 342 questions in this pack

Question 1

Which of the following describes the Spark driver?

  1. The Spark driver is responsible for performing all execution in all execution modes – it is the entire Spark application.
  2. The Spare driver is fault tolerant – if it fails, it will recover the entire Spark application.
  3. The Spark driver is the coarsest level of the Spark execution hierarchy – it is synonymous with the Spark application.
  4. The Spark driver is the program space in which the Spark application’s main method runs coordinating the Spark entire application.
  5. The Spark driver is horizontally scaled to increase overall processing throughput of a Spark application.
Show answer and explanation

Correct answer: D. The Spark driver is the program space in which the Spark application’s main method runs coordinating the Spark entire application.

Spark application’s main method runs coordinating the Spark entire application. The Spark driver is the program space where the Spark application's main method runs, and it coordinates the entire Spark application. It acts as the central coordinator that manages the overall execution flow, schedules tasks, and maintains the state of the application. While the driver is crucial to Spark applications, it is not itself fault-tolerant (eliminating B), does not perform all execution (A is incorrect), and cannot be horizontally scaled (E is wrong). Option C is somewhat accurate but less precise than D, which captures the driver's essential role in coordinating execution through the main method.

Why the other options are wrong

  • A. The driver coordinates execution but does not perform all execution itself, executors on nodes handle the actual task execution.
  • B. The Spark driver is not fault-tolerant; if the driver fails, the entire Spark application typically fails.
  • C. While the driver is the coarsest level, option D is more complete by explaining its actual function in the application.
  • E. The Spark driver cannot be horizontally scaled; it runs as a single process that coordinates the application.

Question 2

Which of the following describes the relationship between nodes and executors?

  1. Executors and nodes are not related.
  2. Anode is a processing engine running on an executor.
  3. An executor is a processing engine running on a node.
  4. There are always the same number of executors and nodes.
  5. There are always more nodes than executors.
Show answer and explanation

Correct answer: C. An executor is a processing engine running on a node.

node. An executor is a processing engine that runs on a node. Executors are JVM processes launched on worker nodes that perform the actual computation and data processing tasks. Each node can host multiple executors, and multiple nodes collectively form the Spark cluster. This relationship is fundamental to Spark's distributed architecture.

Why the other options are wrong

  • A. Nodes and executors are directly related within Spark's execution model.
  • B. A node is hardware; an executor is a process running on that hardware, not the reverse.
  • D. There is no requirement for equal numbers of executors and nodes; one node can run multiple executors.
  • E. There is no requirement that nodes outnumber executors; the relationship is flexible based on configuration.

Question 3

Which of the following will occur if there are more slots than there are tasks?

  1. The Spark job will likely not run as efficiently as possible.
  2. The Spark application will fail – there must be at least as many tasks as there are slots.
  3. Some executors will shut down and allocate all slots on larger executors first.
  4. More tasks will be automatically generated to ensure all slots are being used.
  5. The Spark job will use just one single slot to perform all tasks.
Show answer and explanation

Correct answer: A. The Spark job will likely not run as efficiently as possible.

possible. When there are more slots available than tasks to execute, some slots will remain idle and unused. This means the available computing resources are not fully utilized, resulting in suboptimal job efficiency. The job will still run successfully, but it will not achieve the best possible performance because parallel processing capacity is wasted. Spark does not fail the application, shut down executors, or automatically generate extra tasks to fill slots.

Why the other options are wrong

  • B. Spark jobs run successfully even with more slots than tasks; there is no requirement for equal numbers.
  • C. Spark does not automatically shut down executors when slots exceed tasks.
  • D. Spark does not automatically generate additional tasks to fill available slots.
  • E. Spark will use multiple slots if they are available; it does not force execution to a single slot.

See all 10 free questions Get the full pack, US$39

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

Failing this exam costs another US$200. This pack is US$39, paid once.

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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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Questions before you buy

What do I get when I buy the Databricks Associate Developer for Apache Spark pack?

342 practice questions as a PDF, each with the correct answer, a full explanation and a note on why the other options are wrong, plus a separate questions-only PDF for timed practice.

How quickly do I receive it?

Your PDF is prepared and sent to your email address after checkout, and you get a confirmation as soon as it is on its way.

Is there a free sample?

Yes. Ten questions from this pack, with answers and explanations, are free on this page and as a PDF, so you can judge the quality before you pay.

Are updates included?

Yes. The pack is updated every month for as long as the exam is live, and updates are free for everyone who has bought it.

What if I fail the exam?

We refund the pack. Sit the exam 7 to 30 days after buying, then send your official score report within 7 days of the exam date, as set out in the refund policy.

Can I share it with colleagues?

Each purchase is licensed to one person. For a team, school or training organisation, email support@certstash.com for a licence that fits.

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