The ability of Hadoop to efficiently process large volumes of data in parallel is called . . . . . . . . processing.

A. Increase block size B. Decrease block size C. Maintain the default block size D. Use fewer mappers

A. Gzip B. Snappy C. Bzip2 D. LZO

A. To handle speculative workloads B. To minimize resource usage C. To mitigate the impact of slow-running tasks D. To speed up task completion

A. Increase the number of reducers B. Decrease the number of reducers C. Use a combiner function D. Use a custom partitioner