What is data skew in a distributed job?
- A Uneven distribution of data across partitions, so some tasks take far longer than others
- B Corrupted records
- C Incorrect schema inference
- D Duplicate partitions
Answer
Uneven distribution of data across partitions, so some tasks take far longer than others
A job runs only as fast as its slowest task, so a single hot key can dominate total runtime regardless of cluster size.





