• 1. 
    Although the Hadoop framework is implemented in Java , MapReduce applications need not be written in :

  • apple
  • Java interface
  • c$
  • C
  • 2. 
    What is the java interface to implement serialization in HADOOP?

  • Serializable interface
  • Stacking of Storage Formats
  • Both a & b
  • None of these
  • 3. 
    Processing engine pada hadoop bernama

  • Tracker
  • HDFS
  • Map Reduce
  • Semuanya benar
  • 4. 
    If you are storing a file of 100 MB in HDFS using the default configuration, and if it perform replication management policy then how much of data is residing in different data node

  • 100 MB
  • 200 MB
  • 600 MB
  • 300 MB
  • 5. 
    Expand JVM What is its full form

  • JAVA VIRTUAL MACHINE
  • JAVA VARIABLE METHOD
  • 6. 
    Output of the mapper is first written on the local disk for sorting and _________ process.

  • shuffling
  • secondary sorting
  • forking
  • reducing
  • 7. 
    A ________ node acts as the Slave and is responsible for executing a Task assigned to it by the JobTracker

  • MapReduce
  • Mapper
  • TaskTracker
  • JobTracker
  • 8. 
    ...................................... is the utility that enables us to create or run MapReduce scripts in any language either, java or non-java, as mapper/reducer.

  • Hadoop streaming
  • Hadoop YARN
  • Hadoop HDFS
  • Hadoop Apache
  • 9. 
    _________command displays the last few lines present in the given file.

  • head
  • top
  • back
  • trail
  • 10. 
    ________ NameNode is used when the Primary NameNode goes down.

  • Rack
  • Data
  • Secondary
  • Name
  • 11. 
    _______________function processes a key/value pair to generate a set of intermediate key/value pairs.

  • Map
  • Reduce
  • Both Map and Reduce
  • None of the mentioned
  • 12. 
    Move the file or directory with ________Command

  • move
  • mv
  • movedir
  • all
  • 13. 
    _________ maps input key/value pairs to a set of intermediate key/value pairs.

  • Mapper
  • Reducer
  • Both Mapper and Reducer
  • None of the mentioned
  • 14. 
    NameNode is the ...................................... in the Apache Hadoop HDFS Architecture that maintains and manages the blocks present on the DataNodes .......................

  • Master node, and Slave node
  • Job Tracker and Node tracker
  • Slave node and Master Node
  • Task Tracker and Application manager
  • 15. 
    He default InputFormat is __________ which treats each value of input a new value and the associated key is byte offset.

  • TextFormat
  • TextInputFormat
  • InputFormat
  • All of the mentioned
  • 16. 
    ___________is the primary data storage system in Hadoop

  • HDFS
  • Hbase
  • Shell
  • RDBMS
  • 17. 
    The ........................................................ works concurrently with the primary NameNode as a helper daemon.

  • Secondary NameNode
  • Master Name Node
  • Application Manager
  • Node Manager
  • 18. 
    I have a file “example.txt” of size 514 MB. If default configuration of block size, which is 128 MB. Then, how many blocks will be created?

  • 4
  • 5
  • 2
  • 6
  • 19. 
    ___________command copies the file or directory identified by the source to destination.

  • copy
  • copycat
  • cp
  • ccat
  • 20. 
    The need for data replication can arise in various scenarios like ____________

  • Replication Factor is changed
  • DataNode goes down
  • Data Blocks get corrupted
  • All of the mentioned
  • 21. 
    _________ command copies a single src file or multiple src files from local file system to Hadoop file system.

  • put
  • get
  • scan
  • all
  • 22. 
    The number of maps is usually driven by the total size of ____________

  • inputs
  • outputs
  • tasks
  • None of the mentioned
  • 23. 
    Nama instruktur kita selama ini

  • solehoel arifin
  • solechoel arifiin
  • solechoel arifin
  • solechul arifin
  • 24. 
    _____________is the slave/worker node and holds the user data in the form of Data Blocks.

  • NameNode
  • DataNode
  • Data block
  • Replication
  • 25. 
    ....................................is the storage layer, .....................................is the resource management layers and ----------------------------------is data processing layer of hadoop

  • Map Reduce, YARN and HDFS
  • HDFS, MapReduce, YARN
  • YARN, MapReduce and HDFS
  • HDFS, YARN and MapReduce
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