Comprehensive and Detailed Explanation From Exact Extract:
When you convert a largepyspark.pandas(aka Pandas API on Spark) DataFrame to a local Pandas DataFrame using.toPandas(), Spark collects all partitions to the driver.
From the Spark documentation:
“Be careful when converting large datasets to Pandas. The entire dataset will be pulled into the driver’s memory.”
Thus, for large datasets, this can cause memory overflow or out-of-memory errors on the driver.
Final Answer: D
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