Advanced MapReduce Concepts MCQ question and answer with solution | Hadoop MCQs

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

A. Join data on the mapper side

B. Join data on the reducer side

C. Sort keys on the mapper side

D. Sort keys on the reducer side

A. Store intermediate data

B. Cache files for tasks

C. Manage computation resources

D. Execute MapReduce jobs

A. Compress the map output data

B. Compress the reduce output data

C. Decompress the map output data

D. Decompress the reduce output data

A. Optimize data locality for tasks

B. Optimize task scheduling

C. Optimize data storage in HDFS

D. Optimize task execution in MapReduce jobs

A. Sort keys on the mapper side

B. Sort keys on the reducer side

C. Sort keys within a reducer

D. Sort keys across multiple reducers

A. Aggregate values on the mapper side

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

C. Sort and shuffle data

D. Distribute data to reducers

A. Join data on the mapper side

B. Join data on the reducer side

C. Sort keys on the mapper side

D. Sort keys on the reducer side

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

A. Filter data on the mapper side

B. Filter data on the reducer side

C. Sort keys on the mapper side

D. Sort keys on the reducer side