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Big Data Analytics

Total questions: 10

Worksheet time: 10mins

Name
Class
Date
1.

HDFS stands for

a)

Hadoop Digital Filesystem

b)

Hadoop Distributing Filesystem

c)

Hadoop Distributed Filesystem

d)

Hadoop Distinguishing Filesystem

2.

Hadoop has ......... main components.

a)

Two

b)

Four

c)

Six

d)

Eight

3.

........... is designed to store and provide parallel, streaming

access to large quantities of data (up to 100s of TB).

a)

HDFS

b)

Mapreduce

c)

Network FileSystem

d)

None of the above

4.

............ is a distributed data processing framework for processing large quantities of data, distributed across a cluster of nodes, in parallel.

a)

HDFS

b)

Mapreduce

c)

Network FileSystem

d)

None of the above

5.

MapReduce has ......... phases.

a)

Two

b)

Four

c)

Six

d)

Eight

6.

The .......... phase uses one or more mappers to process the input data.

a)

Map

b)

Reduce

c)

Both A and B

d)

None of the above

7.

The .......... phase uses zero or more reducers to process the data output during the map phase.

a)

Map

b)

Reduce

c)

Both A and B

d)

None of the above

8.

................. is designed to process medium-to-large files.

a)

HDFS

b)

Mapreduce

c)

Network FileSystem

d)

None of the above

9.

.......... storage is spread across a cluster of nodes; a single large file could be stored across multiple nodes in the cluster.

a)

HDFS

b)

Mapreduce

c)

Network FileSystem

d)

None of the above

10.

........... is designed to store large files and lots of them.

a)

HDFS

b)

Mapreduce

c)

Network FileSystem

d)

None of the above