Câu 74: Databricks Certified Associate Developer for Apache Spark

Which of the following describes the difference between DataFrame.repartition(n) and DataFrame.coalesce(n)?

1. A. DataFrame.repartition(n) will split a DataFrame into n number of new partitions with data distributed evenly.DataFrame.coalesce(n) will more quickly combine the existing partitions of a DataFrame but might result in an uneven distribution of data across the new partitions. — đáp án hiện tại
2. B. While the results are similar, DataFrame.repartition(n) will be more efficient than DataFrame.coalesce(n) because it can partition a Data Frame by the column.
3. C. DataFrame.repartition(n) will split a Data Frame into any number of new partitions while minimizing shuffling.DataFrame.coalesce(n) will split a DataFrame onto any number of new partitions utilizing a full shuffle.
4. D. While the results are similar, DataFrame.repartition(n) will be less efficient than DataFrame.coalesce(n) because it can partition a Data Frame by the column.
5. E. DataFrame.repartition(n) will combine the existing partitions of a DataFrame but may result in an uneven distribution of data across the new partitions.DataFrame.coalesce(n) will more slowly split a Data Frame into n number of new partitions with data distributed evenly.