a) MergePartitioner b) HashedPartitioner c) HashPartitioner d) None of the mentioned Answer: c Explanation: The total number ...
View QuestionThe output of the reduce task is typically written to the FileSystem via _____________
a) OutputCollector.collect b) OutputCollector.get c) OutputCollector.receive d) OutputCollector.put Answer: a Explanation: The output of the Reducer is ...
View QuestionThe framework groups Reducer inputs by key in _________ stage.
a) sort b) shuffle c) reduce d) none of the mentioned Answer: a Explanation: The shuffle and ...
View QuestionThe number of reduces for the job is set by the user via _________
a) JobConf.setNumTasks(int) b) JobConf.setNumReduceTasks(int) c) JobConf.setNumMapTasks(int) d) All of the mentioned Answer: b Explanation: Reducer has 3 ...
View QuestionThe right level of parallelism for maps seems to be around _________ maps per-node.
a) 1-10 b) 10-100 c) 100-150 d) 150-200 Answer: b Explanation: Task setup takes a while, so ...
View QuestionApplications can use the ____________ to report progress and set application-level status messages.
a) Partitioner b) OutputSplit c) Reporter d) All of the mentioned Answer: c Explanation: Reporter is also ...
View QuestionPoint out the wrong statement.
a) The Mapper outputs are sorted and then partitioned per Reducer b) The total number of partitions is ...
View QuestionUsers can control which keys (and hence records) go to which Reducer by implementing a custom?
a) Partitioner b) OutputSplit c) Reporter d) All of the mentioned Answer: a Explanation: Users can control ...
View QuestionThe Hadoop MapReduce framework spawns one map task for each __________ generated by the InputFormat for the job.
a) OutputSplit b) InputSplit c) InputSplitStream d) All of the mentioned Answer: b Explanation: Mapper implementations are ...
View QuestionPoint out the correct statement.
a) Mapper maps input key/value pairs to a set of intermediate key/value pairs b) Applications typically implement the ...
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