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Certified Associate Developer for Apache Spark Actual Exam Questions

Last updated on Dec. 31, 2024.
Vendor:Databricks
Exam Code:Certified Associate Developer for Apache Spark
Exam Name:Certified Associate Developer for Apache Spark
Exam Questions:206
97% Passed the exam with this material
 

Topic 1 - Exam A

Question #1 Topic 1

Which of the following describes the Spark driver?

  • A. The Spark driver is responsible for performing all execution in all execution modes – it is the entire Spark application.
  • B. The Spare driver is fault tolerant – if it fails, it will recover the entire Spark application.
  • C. The Spark driver is the coarsest level of the Spark execution hierarchy – it is synonymous with the Spark application.
  • D. The Spark driver is the program space in which the Spark application’s main method runs coordinating the Spark entire application.
  • E. The Spark driver is horizontally scaled to increase overall processing throughput of a Spark application.
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Correct Answer: D 🗳️

Question #2 Topic 1

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

  • A. Executors and nodes are not related.
  • B. Anode is a processing engine running on an executor.
  • C. An executor is a processing engine running on a node.
  • D. There are always the same number of executors and nodes.
  • E. There are always more nodes than executors.
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Correct Answer: C 🗳️

Question #3 Topic 1

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

  • A. The Spark job will likely not run as efficiently as possible.
  • B. The Spark application will fail – there must be at least as many tasks as there are slots.
  • C. Some executors will shut down and allocate all slots on larger executors first.
  • D. More tasks will be automatically generated to ensure all slots are being used.
  • E. The Spark job will use just one single slot to perform all tasks.
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Correct Answer: A 🗳️

Question #4 Topic 1

Which of the following is the most granular level of the Spark execution hierarchy?

  • A. Task
  • B. Executor
  • C. Node
  • D. Job
  • E. Slot
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Correct Answer: A 🗳️

Question #5 Topic 1

Which of the following statements about Spark jobs is incorrect?

  • A. Jobs are broken down into stages.
  • B. There are multiple tasks within a single job when a DataFrame has more than one partition.
  • C. Jobs are collections of tasks that are divided up based on when an action is called.
  • D. There is no way to monitor the progress of a job.
  • E. Jobs are collections of tasks that are divided based on when language variables are defined.
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Correct Answer: D 🗳️

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