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• The _____________ can also be used to distribute both jars and native libraries for use in the map and/or reduce tasks.(a) DistributedLog(b) DistributedCache(c) DistributedJars(d) None of the mentionedI have been asked this question during an interview.I want to ask this question from MapReduce Features in section Developing a MapReduce Application of Hadoop
• ____________ is the primary interface by which user-job interacts with the JobTracker.(a) JobConf(b) JobClient(c) JobServer(d) All of the mentionedThe question was asked by my school principal while I was bunking the class.Asked question is from MapReduce Features topic in section Developing a MapReduce Application of Hadoop
• The standard output (stdout) and error (stderr) streams of the task are read by the TaskTracker and logged to _________(a) ${HADOOP_LOG_DIR}/user(b) ${HADOOP_LOG_DIR}/userlogs(c) ${HADOOP_LOG_DIR}/logs(d) None of the mentionedThe question was asked during an online exam.My question comes from MapReduce Features in division Developing a MapReduce Application of Hadoop
• During the execution of a streaming job, the names of the _______ parameters are transformed.(a) vmap(b) mapvim(c) mapreduce(d) mapredThe question was posed to me in a national level competition.My question is based upon MapReduce Features in portion Developing a MapReduce Application of Hadoop
• Jobs can enable task JVMs to be reused by specifying the job configuration _________(a) mapred.job.recycle.jvm.num.tasks(b) mapissue.job.reuse.jvm.num.tasks(c) mapred.job.reuse.jvm.num.tasks(d) all of the mentionedThe question was posed to me in examination.I want to ask this question from MapReduce Features topic in section Developing a MapReduce Application of Hadoop
• Point out the wrong statement.(a) The task tracker has local directory to create localized cache and localized job(b) The task tracker can define multiple local directories(c) The Job tracker cannot define multiple local directories(d) None of the mentionedThe question was posed to me at a job interview.Question is taken from MapReduce Features topic in section Developing a MapReduce Application of Hadoop
• Map output larger than ___________ percent of the memory allocated to copying map outputs.(a) 10(b) 15(c) 25(d) 35The question was asked in an international level competition.This intriguing question comes from MapReduce Features in division Developing a MapReduce Application of Hadoop
• ____________ specifies the number of segments on disk to be merged at the same time.(a) mapred.job.shuffle.merge.percent(b) mapred.job.reduce.input.buffer.percen(c) mapred.inmem.merge.threshold(d) io.sort.factorI got this question in an online interview.This question is from MapReduce Features in section Developing a MapReduce Application of Hadoop
• Point out the correct statement.(a) The number of sorted map outputs fetched into memory before being merged to disk(b) The memory threshold for fetched map outputs before an in-memory merge is finished(c) The percentage of memory relative to the maximum heap size in which map outputs may not be retained during the reduce(d) None of the mentionedI had been asked this question during an online exam.I need to ask this question from MapReduce Features topic in portion Developing a MapReduce Application of Hadoop
• Which of the following parameter is the threshold for the accounting and serialization buffers?(a) io.sort.spill.percent(b) io.sort.record.percent(c) io.sort.mb(d) None of the mentionedThe question was posed to me by my college director while I was bunking the class.My query is from MapReduce Features in division Developing a MapReduce Application of Hadoop