Big Data Quiz 2

__________works as a master server that manages the file system namespace and basically regulates access to these files from clients, and it also keeps track of where the data is on the data nodes and where the blocks are distributed essentially.

• Data Nodes

• Name Node

• Data block

• Replication

When a client contacts the name node for accessing a file, the name node responds with

• Size of the file requested.

• Block ID of the file requested.

• Block ID and hostname of any one of the data nodes containing the block.

• Block ID and hostname of all the data nodes containing that block.

The namenode known that the datanode is active using a mechanism known as

• datapulse

• h-signal

• heartbeats

• Active-pulse

For reading / writing data to / from HDFS, clients first connect to ___________

• NameNode

• Checkpoint Node

• DataNode

• None of the mentioned

True or False?

HDFS performs replication, although it results in data redundancy?

• True

• False

Consider the following Statements:

Statement 1 : Task Tracker is hosted inside the master and it receives the job execution request from the client.

Statement 2 : Job tracker is the MapReduce component on the slave machine as there are multiple slave machines.

• Only statement 1 is true

• Only statement 2 is true

• Both statements are true

• Both statements are false

Consider the following statements:

Statement 1: MapReduce is a programming model and an associated implementation for processing and generating large data sets.

Statement 2: Users specify a map function that processes a key / value pair to generate a set of intermediate key / value pairs, and a reduce functions that merges all intermediate values associated with the same intermediate key.

• Only statement 1 is true

• Only statement 2 is true

• Both statements are true

• Both statements are false

point out the correct statement in context of YARN:

• YARN extends the power of Hadoop to incumbent and new technologies found within the data center.

• YARN is highly scalable

• YARN enhances a Hadoop compute cluster in many ways

• All of the mentioned

Apache Hadoop YARN stands for:

• Yet Another Reserve Negotiator

• Yet Another Resource Negotiator

• Yet Another Resource Network

• Yet Another Resource Manager

Consider the pseudo-code for MapReduce's WordCount example (not shown here). Let's now assume that you want to determine the average length of all the words in a text file. Which part of the (pseudo-)code do you need to adopt?

• Only map()

• Only reduce()

• map() and reduce()

• The code does not have to be changed