Developing Mapreduce Applications — Part 1 MCQs with Explanations

Generate intermediate key-value pairs is the correct answer to “What is the purpose of the Mapper class in a MapReduce application”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Task that processes the Reduce output is the correct answer to “In a MapReduce job, what does the term "Reducer" refer to”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Determine the reducer for each key is the correct answer to “What is the role of the Partitioner in a MapReduce application”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Set job-level configurations is the correct answer to “In a MapReduce program, what is the purpose of the Hadoop Configuration object”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Aggregate values on the reducer side is the correct answer to “What is the primary function of the Reducer class in a MapReduce job”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Defines how input data is read is the correct answer to “What does the term "InputFormat" represent in the context of a MapReduce job”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Executes MapReduce jobs is the correct answer to “In a MapReduce program, what is the role of the Hadoop Job object”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Reads and parses input data is the correct answer to “What is the significance of the Hadoop RecordReader in a MapReduce job”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Defines the reduce output format is the correct answer to “In a MapReduce application, what is the purpose of the Hadoop OutputFormat”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Execute MapReduce jobs is the correct answer to “What is the role of the Hadoop JobClient in a MapReduce job”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Represents a chunk of input data is the correct answer to “In a MapReduce program, what does the term "InputSplit" represent”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Execute MapReduce jobs is the correct answer to “What is the primary purpose of the Hadoop OutputCommitter”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Manages task execution in MapReduce jobs is the correct answer to “In a MapReduce job, what is the function of the Hadoop TaskAttemptContext”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Generate intermediate key-value pairs is the correct answer to “What is the role of the Hadoop Mapper.Context in a MapReduce application”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Track the progress of MapReduce jobs is the correct answer to “In a MapReduce program, what is the purpose of the Hadoop Counter class”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Aggregate values on the reducer side is the correct answer to “What is the primary function of the Hadoop Reducer.Context in a MapReduce application”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Generate intermediate key-value pairs is the correct answer to “In a MapReduce program, what is the purpose of the Hadoop Mapper.Context”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Executes MapReduce jobs is the correct answer to “What is the role of the Hadoop Job object in a MapReduce application”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Combine intermediate key-value pairs on the mapper side is the correct answer to “In a MapReduce job, what does the term "Combiner" represent”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Determine the reducer for each key is the correct answer to “What is the primary function of the Hadoop Partitioner in a MapReduce application”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Manages task execution in MapReduce jobs is the correct answer to “What is the role of the Hadoop TaskInputOutputContext in a MapReduce job”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Defines how input data is read is the correct answer to “In a MapReduce application, what does the term "InputFormat" represent”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Execute MapReduce jobs is the correct answer to “What is the significance of the Hadoop JobClient in a MapReduce job”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Execute MapReduce jobs is the correct answer to “In a MapReduce program, what is the purpose of the Hadoop OutputCommitter”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Generate intermediate key-value pairs is the correct answer to “What is the function of the Hadoop Mapper.Context in a MapReduce application”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Executes MapReduce jobs is the correct answer to “In a MapReduce application, what is the role of the Hadoop Job object”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Reads and parses input data is the correct answer to “What is the purpose of the Hadoop RecordReader in a MapReduce job”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Aggregate values on the reducer side is the correct answer to “What is the primary function of the Hadoop Reducer class in a MapReduce application”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

io.sort.factor is the correct answer to “. . . . . . . . specifies the number of segments on disk to be merged at the same time.”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

map is the correct answer to “The Mapper implementation processes one line at a time via . . . . . . . . method.”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

DistributedCache is the correct answer to “The . . . . . . . . can also be used to distribute both jars and native libraries for use in the map and/or reduce tasks.”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

25 is the correct answer to “Map output larger than . . . . . . . . percent of the memory allocated to copying map outputs.”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

mapissue.job.reuse.jvm.num.tasks is the correct answer to “Jobs can enable task JVMs to be reused by specifying the job configuration . . . . . . . .”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Reporter is the correct answer to “Applications can use the . . . . . . . . to report progress and set application-level status messages.”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

InputSplit is the correct answer to “The Hadoop MapReduce framework spawns one map task for each . . . . . . . . generated by the InputFormat for the job.”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

Partitioner is the correct answer to “Which of the following partitions the key space”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

alter is the correct answer to “. . . . . . . . can change the maximum number of cells of a column family.”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

io.sort.spill.percent is the correct answer to “Which of the following parameter is the threshold for the accounting and serialization buffers”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

MEMSTORE_FLUSH is the correct answer to “Which of the following is not a table scope operator”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.

10-100 is the correct answer to “The right level of parallelism for maps seems to be around . . . . . . . . maps per-node.”. This question is standard in competitive examination syllabi for Developing Mapreduce Applications.