. . . . . . . . is the architectural center of Hadoop that allows multiple data processing engines.

What is the purpose of the Hadoop Distributed Cache in MapReduce?

A. Store intermediate data

B. Cache files for tasks

C. Manage computation resources

D. Execute MapReduce jobs

In Hadoop MapReduce, what is the role of the Hadoop Counters?

A. Track the progress of MapReduce jobs

B. Manage computation resources

C. Execute MapReduce jobs

D. Manage Hadoop ecosystem tools

What is the function of the Hadoop InputSplit in MapReduce?

A. Represents a chunk of input data

B. Combine intermediate key-value pairs on the mapper side

C. Aggregate values on the reducer side

D. Convert data into a binary format

In advanced MapReduce, what is the significance of the Hadoop Combiner class?

A. Combine intermediate key-value pairs on the mapper side

B. Aggregate values on the reducer side

C. Sort and shuffle data

D. Distribute data to reducers