Certified Associate Developer for Apache Spark

Here you have the best Databricks Certified Associate Developer for Apache Spark practice exam questions

  • You have 342 total questions across 69 pages (5 per page)
  • These questions were last updated on February 9, 2026
  • This site is not affiliated with or endorsed by Databricks.
Question 1 of 342
Which of the following describes the Spark driver?
Suggested Answer: D

The Spark driver is the program space where the Spark application's main method runs, coordinating the entire Spark application. It is responsible for managing the application's execution plan, resource allocation, task distribution, and monitoring the application's state throughout its execution. The driver orchestrates the execution process by communicating with the cluster manager to acquire necessary resources and distributing tasks to worker nodes appropriately.

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Question 2 of 342
Which of the following describes the relationship between nodes and executors?
Suggested Answer: C

An executor is a processing engine running on a node. Executors are worker processes that run on the nodes of a cluster and are responsible for executing tasks assigned by the driver program. They handle data processing and execute the operations required for a Spark application. Hence, the correct relationship is that executors run on nodes.

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Question 3 of 342
Which of the following will occur if there are more slots than there are tasks?
Suggested Answer: A

If there are more slots than tasks in a Spark job, some slots will remain idle. This will result in inefficient utilization of resources as these idle slots represent unused processing capacity. Thus, the Spark job will not run as efficiently as possible but will still complete successfully.

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Question 4 of 342
Which of the following is the most granular level of the Spark execution hierarchy?
Suggested Answer: A

In the Spark execution hierarchy, the most granular level is the task. A task represents a unit of work that is executed on a partitioned portion of the data in parallel. Tasks are created by the Spark driver program and assigned to individual executors for execution. Each task operates on a subset of the data and performs a specific operation defined by the Spark application, such as a transformation or an action.

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Question 5 of 342
Which of the following statements about Spark jobs is incorrect?
Suggested Answer: E

In Spark, jobs are collections of tasks that are divided based on when an action is called, not based on when language variables are defined. This statement is incorrect because it misrepresents how tasks are grouped within a job. Spark creates a job whenever an action (like count() or collect()) is called on a DataFrame or RDD. These jobs are then broken down into stages and tasks, orchestrated based on the logical execution plan derived from the actions, not from the definition of language variables.

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About the Databricks Certified Associate Developer for Apache Spark Certification Exam

About the Exam

The Databricks Certified Associate Developer for Apache Spark (Certified Associate Developer for Apache Spark) validates your knowledge and skills. Passing demonstrates proficiency and can boost your career prospects in the field.

How to Prepare

Work through all 342 practice questions across 69 pages. Focus on understanding the reasoning behind each answer rather than memorizing responses to be ready for any variation on the real exam.

Why Practice Exams?

Practice exams help you familiarize yourself with the question format, manage your time, and reduce anxiety on the test day. Our Certified Associate Developer for Apache Spark questions are regularly updated to reflect the latest exam objectives.