.....................................is a Top level project, open-source implementation of frameworks for reliable, scalable, distributed computing and data storage.

• Hadoop

• Hive

• MongoDB

• Cassandra

....................................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

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

The ........................................................ works concurrently with the primary NameNode as a helper daemon.

• Secondary NameNode

• Master Name Node

• Application Manager

• Node Manager

Default size of each block in Apache Hadoop 2.x is

• 64MB

• 128KB

• 128GB

• 128 MB

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

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

...................................... 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

Hadoop framework is written in which language ?

• Python

• C

• Java

• Go

Hadoop YARN Resource Manager (RM)

• RM manages the global assignments of resources (CPU and memory) among all the applications. It arbitrates system resources between competing applications

• is responsible for containers monitoring their resource usage and reporting

• •tracks the health of the node on which it is running.

• •It negotiates resources from the resource manager and works with the node manager.