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BDA-UNIT-2

Total questions: 25

Worksheet time: 13mins

Name
Class
Date
1.

Filesystems that manage the storage across a network of machines are called______________

a)

document filesystems

b)

Excel filesystems

c)

distributed filesystems

d)

None

2.

_____________is a filesystem designed for storing very large files with streaming data access patterns, running on clusters of commodity hardware.

a)

YARN

b)

HDFS

c)

Map Reduce

d)

all the above

3.

HDFS is built around the idea that the most efficient data processing pattern is a_______

a)

write-many, read-once-time pattern

b)

write-once, read-once-time pattern

c)

write-many, read-many-times pattern

d)

write-once, read-many-times pattern

4.

HDFS does not work well for some areas:

a)

Low-latency data access

b)

Multiple writers &

File modifications

c)

High volume of data

d)

None

5.

_________maintains the filesystem tree and the metadata for all the files and directories in the tree.

a)

Name Node

b)

Data Node

c)

Null Node

d)

Application Node

6.

Which is not a file system?

a)

FTP

b)

S3

c)

SMPS

d)

Local

7.

Which is not an interface of Hadoop?

a)

C

b)

FUSE

c)

HTTP

d)

COBOL

8.

_________method is used to retrieve a local filesystem instance.

a)

getLocal()

b)

get()

c)

open()

d)

seek()

9.

_______method on FileSystem to permanently remove files or directories

a)

clear()

b)

delete()

c)

destroy()

d)

none

10.

In Hadoop Distributed File System (HDFS), ________ is a policy that makes data more available and fault-tolerant by storing multiple copies of a file's blocks on different data nodes.

a)

name node

b)

federation

c)

replication

d)

none

11.

in above example, how many blocks are made for the backup purpose?

a)

4

b)

3

c)

10

d)

12

12.

_________ for a filesystem describes how reads and writes are visible for a file.

a)

HDFS Federation

b)

SPOF

c)

Coherency Model

d)

None

13.

HDFS provides a way to force all buffers to be flushed to the datanodes via the .............. method on FSDataOutputStream

a)

hflush()

b)

flush()

c)

fflush()

d)

none

14.

Hadoop comes with a useful program called ______for copying data to and from Hadoop filesystems in parallel.

a)

cp

b)

distcp

c)

copy

d)

none

15.

____________ is implemented as a MapReduce job where the work of copying is done by the maps that run in parallel across the cluster. There are no reducers.

a)

distcp

b)

coherency model

c)

HDFS

d)

none

16.

__________ is the process of redistributing data evenly across a cluster of computers to keep DataNodes healthy.

a)

Load balance

b)

Data Integrity

c)

Cluster balancing

d)

Node Balancing

17.

________ in Hadoop is the process of ensuring that data is not lost or corrupted during storage or processing.

a)

Coherency Model

b)

MapReduce

c)

Cluster Balancing

d)

Data integrity

18.

CRC-32 stands for:

a)

32-byte cyclic redundancy check

b)

32-bit cyclic redundancy check

c)

32-bit circular redundancy check

d)

32-bit cyclic random check

19.

File compression brings two major benefits:

  1. 1. It reduces the space needed to store files, and

  2. 2. It slow up data transfer across the network or to or from disk.

Which of the following is correct

a)

both 1 & 2 are correct

b)

1 is true and 2 is false

c)

1 is false and 2 is true

d)

both 1 & 2 are false

20.

which is NOT a compression formats of Hadoop?

a)

Deflate

b)

Snappy

c)

LZO

d)

WinRar

21.

The _____ compressor from Google provides fast compression and decompression but compression ratio is less.

a)

Snappy

b)

bzip2

c)

Deflate

d)

gzip

22.

short form of compressor-decompressor 

a)

Code

b)

comdec

c)

Codec

d)

comde

23.

______________ is essential in Hadoop because they allow developers to compress and decompress data for input and output.

a)

Data Integrity

b)

Codecs

c)

Map Reduce

d)

None

24.

In the Hadoop the default block size is ____________

a)

64 MB

b)

164 MB

c)

128 MB

d)

16 MB

25.

_________ enables horizontal scaling of the namespace, which is beneficial for large deployments or those that use many small files. 

a)

HDFS Federation

b)

High Availability

c)

MapReduce

d)

None