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Cloud computing and distributed system

Total questions: 20

Worksheet time: 10mins

Name
Class
Date
1.

In which layer does IPsec work?

a)

Data link layer

b)

Network layer

c)

Transport layer

d)

Presentation layer

2.

Point out the wrong statement.

a)

Abstraction enables the key benefit of cloud computing: shared, ubiquitous access

b)

Virtualization assigns a logical name for a physical resource and then provides a pointer to that physical resource when a request is made

c)

All cloud computing applications combine their resources into pools that can be assigned on demand to users

d)

All of the mentioned

3.

Application frameworks provide a means for creating ________ hosted applications using IDE

a)

PaaS

b)

SaaS

c)

CaaS

d)

All of the mentioned

4.

Which of the following cloud concept is related to pooling and sharing of resources?

a)

Polymorphism

b)

Abstraction

c)

Virtualization

d)

None of the mentioned

5.

Which of the following is application and infrastructure management software for hybrid multi-clouds?

a)

VMware Hyperic

b)

Webmetrics

c)

Univa UD

d)

Tapinsystems

6.

The technology used to distribute service requests to resources is referred to as _____________

a)

load performing

b)

load scheduling

c)

load balancing

d)

all of the mentioned

7.

Messages whose ‘send’ is done but ‘receive’ is undone due to rollback are called__________

a)

In-transit messages

b)

Lost messages

c)

Orphan messages

d)

Duplicate messages

8.

The ____________________may arise when a process rolls back to its checkpoint after a failure and requests all the other affected processes also to roll back

a)

Rollback

b)

Phantom Effect

c)

Domino Effect

d)

Livelock problem

9.

_____________________where a VM can be moved from one physical machine to another even as it continues to execute.

a)

Load Balancing

b)

Migration

c)

Live Migration

d)

Server consolidation

10.

_____________________ method is completely OS and application agnostic __________________________method access to OS stats and application logs

a)

Black-box, Gray-Box

b)

Gray-Box, Black-box

c)

Black-box, White-Box

d)

Gray-box, White-Box

11.

What is the parallel efficiency(Eff) of an algorithm? Where a task takes time T in uniprocessor system, P is number of processors, M is time taken by each processor.

a)

Eff = (T*P)/M

b)

Eff = T*(M/P)

c)

Eff = T/(P*M)

d)

Eff = T*P*M

12.

Independent server clusters share storage through high-speed network storage in -

a)

Shared memory architecture

b)

Shared nothing architecture

c)

Shared disk architecture

d)

None of the above

13.

Which of the following OpenStack component is used for networking services?

a)

Swift

b)

Neutron

c)

Cinder

d)

Keystone

14.

In a Classical Algorithm of Ring Election, what will be the message complexity for N labelled processes ?

a)

(N-1) messages

b)

(2N-1) messages

c)

(3N-1) messages

d)

(4N-1) messages

15.

Which is responsible for the operation of a collection of computers that are c connected via high speed local area networks?

a)

Computer Manager

b)

Cloud Manager

c)

Cluster Manager

d)

None of these

16.

________ ensures the ability to exchange/ obtain the information to be consumed

a)

Data Level Interoperability

b)

Service Level Interoperability

c)

Security Level Interoperability

d)

Machine Level Interoperability

17.

The inter process communication between different nodes in Hadoop uses

a)

REST API

b)

RPC

c)

RMI

d)

IP Exchange

18.

OpenStack provides

a)

SaaS

b)

PaaS

c)

IaaS

d)

All the above

19.

Consider the following statements: Statement 1: When two processes are competing with each other causing data corruption, it is called deadlock. Statement 2: When two processes are waiting for each other directly or indirectly, it is called race condition.

a)

Only statement 1 is true

b)

Only statement 2 is true

c)

Both statements are true

d)

Both statements are false

20.

Which is not a challenge of a Multi-Tenant Data Center:

a)

Agility

b)

Location independent addressing

c)

Performance uniformity

d)

Scalability