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DATABRICKS-CERTIFIED-ASSOCIATE-DEVELOPER-FOR-APACHE-SPARK · Question #90
DATABRICKS-CERTIFIED-ASSOCIATE-DEVELOPER-FOR-APACHE-SPARK Question #90: Real Exam Question with Answer & Explanation
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Optimizing Spark Applications
Question
Which of the following describes the difference between DataFrame.repartition(n) and DataFrame.coalesce(n)?
Options
- ADataFrame.repartition(n) will split a DataFrame into n number of new partitions with data
- BWhile the results are similar, DataFrame.repartition(n) will be more efficient than
- CDataFrame.repartition(n) will split a Data Frame into any number of new partitions while
- DWhile the results are similar, DataFrame.repartition(n) will be less efficient than
- EDataFrame.repartition(n) will combine the existing partitions of a DataFrame but may result in an
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Topics
#Spark DataFrames#Partitioning#Performance Optimization#Shuffle Operations