Point out the wrong statement.(a) A MapReduce job usually splits the input data-set into independent chunks which are processed by the map tasks in a completely parallel manner(b) The MapReduce framework operates exclusively on pairs(c) Applications typically implement the Mapper and Reducer interfaces to provide the map and reduce methods(d) None of the mentionedI have been asked this question at a job interview.I would like to ask this question from Introduction to Mapreduce in section Mapreduce of Hadoop

Point out the wrong statement.(a) A MapReduce job usually splits the i

1.	Point out the wrong statement.(a) A MapReduce job usually splits the input data-set into independent chunks which are processed by the map tasks in a completely parallel manner(b) The MapReduce framework operates exclusively on pairs(c) Applications typically implement the Mapper and Reducer interfaces to provide the map and reduce methods(d) None of the mentionedI have been asked this question at a job interview.I would like to ask this question from Introduction to Mapreduce in section Mapreduce of Hadoop
Answer» RIGHT answer is (d) NONE of the mentioned Explanation: The MapReduce FRAMEWORK takes care of SCHEDULING tasks, monitoring them and re-executes the failed tasks.

Discussion

No Comment Found

Related InterviewSolutions

Hadoop has a library class, org.apache.hadoop.mapred.lib.FieldSelectionMapReduce, that effectively allows you to process text data like the unix ______ utility.(a) Copy(b) Cut(c) Paste(d) MoveThe question was asked in an interview for internship.Asked question is from Hadoop Streaming topic in section Mapreduce of Hadoop
Which of the following class provides a subset of features provided by the Unix/GNU Sort?(a) KeyFieldBased(b) KeyFieldComparator(c) KeyFieldBasedComparator(d) All of the mentionedThis question was addressed to me during an online interview.This interesting question is from Hadoop Streaming topic in chapter Mapreduce of Hadoop
Which of the following class is provided by the Aggregate package?(a) Map(b) Reducer(c) Reduce(d) None of the mentionedI had been asked this question during an interview.My enquiry is from Hadoop Streaming topic in section Mapreduce of Hadoop
______________ class allows the Map/Reduce framework to partition the map outputs based on certain key fields, not the whole keys.(a) KeyFieldPartitioner(b) KeyFieldBasedPartitioner(c) KeyFieldBased(d) None of the mentionedThis question was posed to me during an interview.The origin of the question is Hadoop Streaming topic in division Mapreduce of Hadoop
The ________ option allows you to copy jars locally to the current working directory of tasks and automatically unjar the files.(a) archives(b) files(c) task(d) none of the mentionedThe question was asked in a job interview.Origin of the question is Hadoop Streaming topic in chapter Mapreduce of Hadoop
To set an environment variable in a streaming command use ____________(a) -cmden EXAMPLE_DIR=/home/example/dictionaries/(b) -cmdev EXAMPLE_DIR=/home/example/dictionaries/(c) -cmdenv EXAMPLE_DIR=/home/example/dictionaries/(d) -cmenv EXAMPLE_DIR=/home/example/dictionaries/I got this question by my college director while I was bunking the class.The above asked question is from Hadoop Streaming topic in chapter Mapreduce of Hadoop
Point out the wrong statement.(a) Hadoop has a library package called Aggregate(b) Aggregate allows you to define a mapper plugin class that is expected to generate “aggregatable items” for each input key/value pair of the mappers(c) To use Aggregate, simply specify “-mapper aggregate”(d) None of the mentionedThe question was asked in semester exam.My question is taken from Hadoop Streaming topic in chapter Mapreduce of Hadoop
Which of the following Hadoop streaming command option parameter is required?(a) output directoryname(b) mapper executable(c) input directoryname(d) all of the mentionedThis question was addressed to me by my college director while I was bunking the class.I want to ask this question from Hadoop Streaming topic in chapter Mapreduce of Hadoop
Point out the correct statement.(a) You can specify any executable as the mapper and/or the reducer(b) You cannot supply a Java class as the mapper and/or the reducer(c) The class you supply for the output format should return key/value pairs of Text class(d) All of the mentionedI got this question by my school teacher while I was bunking the class.My question is taken from Hadoop Streaming topic in portion Mapreduce of Hadoop
HBase provides ___________ like capabilities on top of Hadoop and HDFS.(a) TopTable(b) BigTop(c) Bigtable(d) None of the mentionedI had been asked this question in a job interview.My doubt stems from Scaling out in Hadoop in section Mapreduce of Hadoop

Discussion

No Comment Found

Related InterviewSolutions

Reply to Comment