Cloud Computing Questions and Answers – Laws of Cloudonomics

This set of Cloud Computing Multiple Choice Questions & Answers (MCQs) focuses on “Laws of Cloudonomics”.

1. _______ blurs the differences between a small deployment and a large one because scale becomes tied only to demand.
a) Leading
b) Pooling
c) Virtualization
d) All of the mentioned
View Answer

Answer: b
Explanation: The virtualization of pooled resources—processors or compute engines, storage, and network connectivity—optimizes these investments and allows the cloud provider to pass along these economies to customers.

2. Point out the correct statement.
a) A branded cloud computing platform cannot extend customer relationships by offering additional service options
b) A cloud computing platform extends the company’s products and defends their franchise
c) The economies of scale cannot make a profitable business
d) All of the mentioned
View Answer

Answer: b
Explanation: This is the case for Microsoft’s Windows Azure Platform.

3. A _____ is a facility that is a self-contained semiconductor assembly line.
a) fab
b) touch
c) rep
d) all of the mentioned
View Answer

Answer: a
Explanation: Companies such as TSMC (Taiwan Semiconductor Manufacturing Company) have come along that provides fabrication based on customer designs, spreading their risk and optimizing their operation.

4. How many laws exist for Cloudonomics by Weinman?
a) 4
b) 5
c) 10
d) 15
View Answer

Answer: c
Explanation: Joe Weinman of AT&T Global Services has concisely stated the advantages that cloud computing offers over a private or captured system.

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5. Point out the wrong statement.
a) Google App Engine allows a developer to scale an application immediately
b) The customer relationship management provider SalesForce.com has a development platform called Force.com that is an IaaS offering
c) A cloud computing provider can become a hub master at the center of many ISVs offerings
d) None of the mentioned
View Answer

Answer: b
Explanation: For Google, its office applications can be rolled out quickly and to large audiences.

6. Cutting latency in half requires ______ times the number of nodes in a system.
a) two
b) three
c) four
d) seven
View Answer

Answer: c
Explanation: Latency, or the delay in getting a response to a request, requires both large-scale and multi-site deployments that are a characteristic of cloud providers.

7. Weinman argues that a large cloud’s size has the ability to repel ______ and DDoS attacks better than smaller systems do.
a) sniffers
b) botnets
c) trojan horse
d) all of the mentioned
View Answer

Answer: b
Explanation: Superiority in numbers is the most important factor in the result of combat.

8. The reliability of a system with n redundant components and a reliability of r is ____________
a) 1-(1-r)n
b) 1-(1+r)n
c) 1+(1-r)n
d) All of the mentioned
View Answer

Answer: a
Explanation: Therefore, when a datacenter achieves a reliability of 99 percent, two redundant data centers have a reliability of 99.99 percent (four nines) and three redundant data centers can achieve a reliability of 99.9999 percent (six nines).

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9. A __________ site is one that is environmentally friendly: locations that are on a network backbone.
a) greenfield
b) redfield
c) greenful
d) none of the mentioned
View Answer

Answer: a
Explanation: Private data centers tend to be located in places where the company or unit was founded or acquired.

10. The peak of the sum is never ________ than the sum of the peaks.
a) smaller
b) greater
c) equal to
d) none of the mentioned
View Answer

Answer: b
Explanation: A cloud can deploy less capacity because the peaks of individual tenants in a shared system are averaged over time by the group of tenants.

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Sanfoundry Global Education & Learning Series – Cloud Computing.

Here’s the list of Best Books in Cloud Computing.

To practice all areas of Cloud Computing, Here is complete set of 1000+ Multiple Choice Questions and Answers.

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Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He lives in Bangalore, and focuses on development of Linux Kernel, SAN Technologies, Advanced C, Data Structures & Alogrithms. Stay connected with him at LinkedIn.

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