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DATABRICKS-CERTIFIED-ASSOCIATE-DEVELOPER-FOR-APACHE-SPARK · Question #142

DATABRICKS-CERTIFIED-ASSOCIATE-DEVELOPER-FOR-APACHE-SPARK Question #142: Real Exam Question with Answer & Explanation

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Spark Data Management and Optimization

Question

Of the following situations, in which will it be most advantageous to store DataFrame df at the MEMORY_AND_DISK storage level rather than the MEMORY_ONLY storage level?

Options

  • AWhen all of the computed data in DataFrame df can fit into memory.
  • BWhen the memory is full and it's faster to recompute all the data in DataFrame df rather than read
  • CWhen it's faster to recompute all the data in DataFrame df that cannot fit into memory based on
  • DWhen it's faster to read all the computed data in DataFrame df that cannot fit into memory from
  • EThe storage level MENORY_ONLY will always be more advantageous because it's faster to read

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Topics

#Spark Caching#Storage Levels#DataFrame Persistence#Performance Optimization
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