Distributing Computing

Distributing Computing

University

33 Qs

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Distributing Computing

Distributing Computing

Assessment

Quiz

Information Technology (IT)

University

Practice Problem

Easy

Created by

Abylai Aitzhanuly

Used 2+ times

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33 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What factors make distributed systems fault-tolerant?

Data replication, load balancing, automatic task redistribution

Single-point processing, centralized data storage, static task allocation

Increased hardware dependencies, manual error handling, single-node execution

Reducing redundancy, limiting resource distribution, removing failover mechanisms

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which type of architecture allows a node to be both a client and a server?

Client-Server Architecture

Peer-to-Peer (P2P) Network

Microservices Architecture

Monolithic Architecture

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which protocol is most commonly used in IoT devices?

HTTP (Hypertext Transfer Protocol)

FTP (File Transfer Protocol)

SMTP (Simple Mail Transfer Protocol)

MQTT (Message Queuing Telemetry Transport)

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can deadlock be avoided?

Using timeouts, priorities, and a strict resource acquisition order

Ignoring resource dependencies and allowing circular wait

Allocating all resources at once without release mechanisms

Increasing the number of processes without controlling resource allocation

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which task scheduling algorithm prioritizes the first incoming request?

Shortest Job Next (SJN)

Round Robin (RR)

First-Come, First-Served (FCFS)

Priority Scheduling

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is Spark faster than Hadoop?

It relies only on disk storage for data processing

It processes data sequentially instead of in parallel

It has a higher dependency on MapReduce for every operation

Uses in-memory computing

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is executed first in the Scatter-Gather-Reduce model?

Gather (collecting distributed data)

Reduce (aggregating results)

Scatter (data distribution)

Process (executing computation)

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