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Databricks Certified Data Engineer Professional · Databricks
Select one answer.
Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.
Correct: A - This configuration parameter directly controls the target maximum size (in bytes) of each partition during file reading. Default: 128 MB. Incorrect: B - This happens during join operations, not when reading files initially. C - This option doesn't directly control partition size. It just helps Spark make smarter decisions about grouping small files together. D - This happens after shuffles, not during initial file reading. The sequence is: read files -> process data -> shuffle -> then this parameter applies. E - Like option D, this is about shuffle partitions during query execution, not about reading files.
suretly A
correct
from the provided list, this fits best. In reality partition size/number can be influenced my many settings