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MapReduce Practice Exam Questions

MapReduce Practice Exam Questions


The MapReduce exam assessed the candidate's knowledge for processing and generation of big data sets with a parallel and distributed algorithm on a cluster. It provides a complete understanding of the MapReduce program that is composed of a mapping procedure, and a reduce method. MapReduce exam is ideal for candidates interested in learning Big Data Technologies.


Target Groups

This exam is best-suited for-

  • People looking for jobs in software departments
  • Students 
  • Candidates interested in learning Big Data Technologies
  • Graduates


Top Companies hiring MapReduce professionals

  • Google
  • Infosys
  • Flipkart 
  • Cognizant
  • IBM 


Benefits

  1. This exam helps in widening your skill-set.
  2. It makes you stand out in today’s competitive job environment.
  3. It is helpful in enhancing the value of one’s CV.


Course Outline

The topics covered in this exam are as follows-

Basics of MapReduce 

Understanding Inputs and Outputs

Knowledge of Mapper, Reducer, Partitioner and Reporter

OutputCollector


MapReduce Job Configuration

Understanding MapReduce Task Execution and Environment

Knowledge of Memory Management

Learning Map Parameters

Shuffle/Reduce Parameters

Knowing the Directory Structure

Task JVM Reuse

Understanding Configured Parameters and Task Logs

Distribution of Libraries


MapReduce Job Submission and Monitoring

Authorizing Job 

Controlling Job

Job Credentials


MapReduce Job Input

InputSplit

RecordReader


MapReduce Job Output

Knowledge of OutputCommitter

Task SideLesson Effect Files

Knowledge of RecordWriter


MapReduce Other Useful Features

Submission of Jobs to Queues

Counters

DistributedCache, Tool and IsolationRunner

Profiling

Debugging

Understanding JobControl and Data Compression


MapReduce User Commands

archive

classpath

archiveLesson logs

distcp

pipes

envvars

queue

job

version


MapReduce Administration Commands

historyserver

frameworkuploader

hsadmin


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