Big Data & Hadoop - Assessment

1.

Multiple Choice

30 sec

1 pt

________________refers to the biases, noise and abnormality in data, trustworthiness of data.

Value

Veracity

Velocity

Volume

2.

Multiple Choice

30 sec

1 pt

_______________refers to the connectedness of big data.

Value

Veracity

Velocity

Valence

3.

Multiple Choice

30 sec

1 pt

Consider the following statements:

Statement 1: Volatility refers to the data velocity relative to timescale of event being studied

Statement 2: Viscosity refers to the rate of data loss and stable lifetime of data

Only statement 1 is true

Only statement 2 is true

Both statements are true

Both statements are false

4.

Multiple Choice

30 sec

1 pt

What are the main components of Hadoop Ecosystem?

MapReduce, HDFS, YARN

MLlib, GraphX

Gelly, Table, CEP

None of the mentioned

5.

Multiple Choice

30 sec

1 pt

True or False ?

NoSQL databases store unstructured data with no particular schema.

True

False

6.

Multiple Choice

30 sec

1 pt

Which of the following is not a NoSQL database?

HBase

SQL Server

Cassandra

None of the mentioned

7.

Multiple Choice

30 sec

1 pt

________________is a resource management platform responsible for managing compute resources in the cluster and using them in order to schedule users and applications.

Hadoop Common

Hadoop Distributed File System (HDFS)

Hadoop YARN

Hadoop MapReduce

8.

Multiple Choice

30 sec

1 pt

Which of the following tool is designed for efficiently transferring bulk data between Apache Hadoop and structured datastores such as relational databases.

Apache Sqoop

Pig

Mahout

Flume

9.

Multiple Choice

30 sec

1 pt

Consider the following statements:

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

Statement 2: Task 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

10.

Multiple Choice

30 sec

1 pt

_____________is the slave/worker node and holds the user data in the form of Data Blocks.

NameNode

DataNode

Data block

Replication

11.

Multiple Choice

30 sec

1 pt

The number of maps in MapReduce is usually driven by the total size of________________

Inputs

Outputs

Tasks

None of the mentioned

12.

Multiple Choice

30 sec

1 pt

_______________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

13.

Multiple Choice

30 sec

1 pt

True or False ?

The main duties of task tracker are to break down the receive job that is big computations in small parts, allocate the partial computations that is tasks to the slave nodes monitoring the progress and report of task execution from the slave.

True

False

14.

Multiple Choice

30 sec

1 pt

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

15.

Multiple Choice

30 sec

1 pt

Apache Hadoop YARN stands for:

Yet Another Reserve Negotiator

Yet Another Resource Network

Yet Another Resource Negotiator

Yet Another Resource Manager

16.

Multiple Choice

30 sec

1 pt

Consider the pseudo-code for MapReduce's WordCount example (not shown here). Let's now assume that you want to determine the frequency of phrases consisting of 3 words each instead of determining the frequency of single words. Which part of the pseudo-code do you need to adapt?

Only map()

Only reduce()

Both map() and reduce()

The code does not have to be changed

17.

Multiple Choice

30 sec

1 pt

For which of the following operations is NO communication with the NameNode required?

A client writing a file to HDFS.

A client requesting the filename of a given block of data.

A client reading a block of data from the cluster.

A client reading a file from the cluster.

18.

Multiple Choice

30 sec

1 pt

Which of the following components reside on a NameNode?

Filenames, blocks and checksums

Blocks and heartbeat messages

Filenames, block locations

Blocks and block locations

19.

Multiple Choice

30 sec

1 pt

Consider the pseudo-code for MapReduce's WordCount example (not shown here). Let's now assume that you want to determine the average amount of words per sentence. Which part of the (pseudo-)code do you need to adapt?

Only map()

Only reduce()

map() and reduce()

The code does not have to be changed.

20.

Multiple Select

30 sec

1 pt

Which of the following statements are true about key/value pairs in Hadoop?

A map() function can emit up to a maximum number of key/value pairs (depending on the Hadoop environment).

A map() function can emit anything between zero and an unlimited number of key/value pairs.

A reduce() function can iterate over key/value pairs multiple times.

A call to reduce() is guaranteed to receive key/value pairs from only one key.

Explore this activity with a free account