Ch 1- 2 Minute Drill

Question 1

Cloud Service Models (1)

Answer 1

A cloud service model is a set of IT-related services offered by a cloud provider.

Question 2

Cloud Service Models (2)

Answer 2

Infrastructure as a Service (IaaS) is a cloud service model that offers server storage, infrastructure, and connectivity domains to a cloud consumer.

Question 3

Cloud Service Models (3)

Answer 3

Platform as a Service (PaaS) allows developers to develop and test applications without worrying about the underlying infrastructure.

Question 4

Cloud Service Models (4)

Answer 4

Software as a Service (SaaS) provides on-demand applications to the cloud consumer over the Internet.

Question 5

Cloud Service Models (5)

Answer 5

Communications as a Service (CaaS) allows a cloud consumer to outsource enterprise-level communication services such as VoIP and PBX.

Question 6

Cloud Service Models (6)

Answer 6

Anything as a Service (XaaS) is a generic term used to describe the distribution of different cloud components.

Question 7

Cloud Deployment Models and Services (1)

Answer 7

A private cloud is a cloud service delivery model that is owned and operated by a single organization, implemented behind the corporate firewall, and maintained by the internal IT department.

Question 8

Cloud Deployment Models and Services (2)

Answer 8

A public cloud is a pool of computing services and resources that are delivered to a cloud consumer over the Internet by a cloud provider.

Question 9

Cloud Deployment Models and Services (3)

Answer 9

A hybrid cloud is a combination of public and private cloud that allows an organization to move resources between the local data center and a public cloud.

Question 10

Cloud Deployment Models and Services (4)

Answer 10

A community cloud shares cloud resources and infrastructure between organizations for a specific group that has common computing needs or objectives.

Question 11

Cloud Deployment Models and Services (5)

Answer 11

Orchestration software allows for an automated approach to managing cloud resources by providing for automatic deployment of virtual machines and other infrastructure.

Question 12

Cloud Characteristics and Terms (1)

Answer 12

Elasticity allows an organization to dynamically provision and de-provision compute resources to meet demands of their network.

Question 13

Cloud Characteristics and Terms (2)

Answer 13

Demand-driven service allows a cloud consumer to provision cloud resources on demand whenever they need to.

Question 14

Cloud Characteristics and Terms (3)

Answer 14

Pay-as-you-grow allows a cloud consumer to pay only for the resources they are using and does not require a large up-front investment.

Question 15

Cloud Characteristics and Terms (4)

Answer 15

Metering allows a cloud consumer to track who is using IT resources and charge the correct department for those resources.

Question 16

Cloud Characteristics and Terms (5)

Answer 16

Cloud bursting allows a cloud consumer to “burst” an application running in a private cloud into a public cloud when demand gets too high for their internal resources.

Question 17

Cloud Characteristics and Terms (6)

Answer 17

Baselines are established norms against which performance and changes can be measured.

Question 18

Cloud Characteristics and Terms (7)

Answer 18

Cloud elements are disparate against which performance and changes can be measured.

Question 19

Cloud Characteristics and Terms (8)

Answer 19

Auto-scaling enables customers to dynamically size their cloud computing resources without actively administering the system and allows for just-in-time resource consumption.

Question 20

Object Storage Concepts (1)

Answer 20

Metadata uses attributes in the file to describe the data.

Question 21

Object Storage Concepts (2)

Answer 21

A data BLOB is a collected set of binary data that is stored together as a single, discrete entity in a database.

Question 22

Object Storage Concepts (3)

Answer 22

Replicas are copies of a large set of data used to increase availability and reduce the amount of risk associated with keeping a large amount of data in one location.