Describe the Execution Patterns of the Apache Spark™ Engine, Including Actions, Transformations, and Lazy Evaluation. ASSOCIATE-DEVELOPER-APACHE-SPARK Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   In Spark, when is the computation defined by a transformation actually executed?

   • AImmediately when the transformation is called.
   • BOnly when an action is invoked on the dataset.
   • CWhen the dataset is serialized to disk.
   • DWhen the driver program exits.
   Reveal Solution Discussion Select an answer first
2. 7foundation · easy

   Which of the following is a transformation in Apache Spark?

   • Afilter()
   • Bshow()
   • Ccollect()
   • Dcount()
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4. 8foundation · easy

   Which optimization technique does Spark use to reduce the amount of data read from a data source?

   • ALazy materialization
   • BTask parallelism
   • CData shuffling
   • DPredicate pushdown
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5. 9foundation · easy

   How does Spark optimize the execution of a series of transformations?

   • AIt analyzes the transformation chain and applies optimizations such as reordering and combining operations.
   • BIt converts all transformations into a single map operation.
   • CIt executes each transformation immediately and stores the result in memory.
   • DIt randomly reorders transformations to balance the load across nodes.
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6. 10foundation · easy

   Which of the following operations is an action in Apache Spark?

   • AgroupBy()
   • Bmap()
   • Ccount()
   • Dfilter()
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