Point out the wrong statement.
A. The Mapper outputs are sorted and then partitioned per Reducer
B. The total number of partitions is the same as the number of reduce tasks for the job
C. The intermediate, sorted outputs are always stored in a simple (key-len, key, value-len, value) format
D. None of the mentioned
Answer: Option D
This Question Belongs to Hadoop >> Developing MapReduce Applications
What is the purpose of the Mapper class in a MapReduce application?
A. Generate intermediate key-value pairs
B. Read and parse input data
C. Aggregate values on the reducer side
D. Execute MapReduce jobs
In a MapReduce job, what does the term "Reducer" refer to?
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
What is the role of the Partitioner in a MapReduce application?
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
In a MapReduce program, what is the purpose of the Hadoop Configuration object?
A. Manage computation resources
B. Set job-level configurations
C. Execute MapReduce jobs
D. Read and parse input data
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