Parallel Computing and Distributed Computing

Parallel Computing and Distributed Computing

University

40 Qs

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Parallel Computing and Distributed Computing

Parallel Computing and Distributed Computing

Assessment

Quiz

Information Technology (IT)

University

Practice Problem

Easy

Created by

K. Vinotha HICET MCA FACULTY

Used 1+ times

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40 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is Parallel Computing? Fill in the blank: In parallel computing, multiple ________ perform multiple tasks assigned to them simultaneously. Memory in parallel systems can either be shared or distributed. Parallel computing provides concurrency and saves time and money.

processors

memories

networks

programs

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In distributed computing, there is no shared memory and computers communicate with each other through message passing.

True

False

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Fill in the blank: The distributed systems have the ability to scale and expand horizontally through the addition of more _______ in the networks.

machines

routers

cables

protocols

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Fill in the blank: MapReduce is a programming model for writing applications that can process Big Data in parallel on multiple _______.

nodes

files

tables

columns

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is Big Data?

A small dataset that can be processed using traditional computing techniques

A collection of large datasets that cannot be processed using traditional computing techniques

A type of database

A programming language

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following aspects are involved in Big Data?

Velocity

Variety

Volume

Complexity

All of the above

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why are traditional enterprise systems not suitable for processing huge volumes of scalable data?

Traditional enterprise systems create too much of a bottleneck while processing multiple files simultaneously and cannot accommodate huge volumes of scalable data.

Traditional enterprise systems are designed to process only unstructured data efficiently.

Traditional enterprise systems are optimized for cloud-native architectures.

Traditional enterprise systems are primarily used for mobile applications.

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