Databricks Certified Associate Developer for Apache Spark — Question 187

Which Spark configuration controls the number of tasks that can run in parallel on the executor?

Answer options

• A. spark.executor.cores
• B. spark.task.maxFailures
• C. spark.driver.cores
• D. spark.executor.memory

Correct answer: A

Explanation

The correct answer is A, spark.executor.cores, as it directly specifies how many cores the executor can use to process tasks in parallel. Options B and D relate to task failures and memory allocation, respectively, and option C pertains to the driver, not the executor's task management.