Developing MapReduce Applications MCQ question and answer with solution | Hadoop MCQs

A. Generate intermediate key-value pairs

B. Read and parse input data

C. Aggregate values on the reducer side

D. Execute MapReduce jobs

A. Task that processes the Map output

B. Task that processes the Reduce output

C. Task that processes the Map input

D. Task that processes the Reduce input

A. Distribute data across multiple nodes

B. Sort and shuffle data

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

D. Determine the reducer for each key

A. Manage computation resources

B. Set job-level configurations

C. Execute MapReduce jobs

D. Read and parse input data

A. Aggregate values on the reducer side

B. Generate intermediate key-value pairs

C. Execute MapReduce jobs

D. Read and parse input data

A. Defines how input data is read

B. Defines the map output format

C. Defines the reduce output format

D. Defines the partitioning logic

A. Manages computation resources

B. Manages task execution in MapReduce jobs

C. Manages metadata of HDFS

D. Executes MapReduce jobs

A. Reads and parses input data

B. Manages computation resources

C. Executes MapReduce jobs

D. Manages Hadoop ecosystem tools

A. Defines the map output format

B. Defines the reduce output format

C. Defines how input data is read

D. Defines the partitioning logic

A. Manage computation resources

B. Manage task execution in MapReduce jobs

C. Execute MapReduce jobs

D. Manage Hadoop ecosystem tools