C838 - Exam 14 Questions with 100% Correct
Answers.
Eucalyptus
An open source cloud computing and Infrastructure as a Service (IaaS) platform for enabling
private clouds.
FIPS 140-2
A NIST document that lists accredited and outmoded cryptosystems.
NIST 800-53
A guidance document with the primary goal of ensuring that appropriate security requirements
and controls are applied to all U.S. federal government information in information management
systems.
Trusted Cloud Initiative (TCI) Reference Model
The TCI reference model is a guide for cloud providers, allowing them to create a holistic
architecture (including the physical facility of the datacenter, the logical layout of the network,
and the processes necessary to utilize both) that cloud customers can purchase and use with
comfort and confidence.
Cloud Service Models
IaaS
PaaS
SaaS
Cloud Deployment Models
• Private - A virtualized data center
• Public - Available to everyone over the Internet
• Hybrid - A mix of public and private
• Community - Several organizations share the same resources
,Types of Data Categorization
1) Regulatory Compliance: Different business activities are susceptible to different regulations.
The organization may want to create categories based on which regulation(s) apply to a specific
dataset.
2) Business Function: The organization might want to have specific categories for different uses
of data. Perhaps the data is tagged based on its use in billing, marketing, or operations.
3) Functional Unit: Each department or office might have its own category, and keep all data it
controls within its own category.
4) By Project: Some organizations might define datasets by the projects they are associated
with, as a means of creating discrete, compartmentalized projects.
Types of Data Classification
1) Sensitivity: This is the classification model used by the military. Data is assigned a
classification according to the sensitivity of the data, based on the negative impact an
unauthorized disclosure would cause.
2) Jurisdiction: The geophysical location of the source or storage point of the data might have
significant bearing on how that data is treated and handled.
3) Criticality: Data that is deemed critical to organizational survival might be classified in a
manner distinct from trivial, basic operational data.
Data Discovery Methods
Label-based: Used when the discovery effort is considered in response to a mandate with a
specific purpose
Metadata-based: Used to collect all matching data elements for a certain purpose
Content-based: Used to locate and identify specific kinds of data by delving into the datasets
Data analytics: Creates new data feeds from sets of data already existing within the environment
Copyright
, The legal protection for expressions of ideas is known as "copyright." In the United States,
copyright is granted to anyone who first creates an expression of an idea. Usually, this involves
literary works, films, music, software, and artistic works.
Types of Data Analytics
Datamining: Refers to a kind of data analysis which is an outgrowth of the possibilities offered
by the regular use of the cloud, also known as "big data."
Real-time Analytics: In some cases, tools can provide datamining functionality concurrently
with data creation and use. These tools rely on automation and require efficiency to perform
properly.
Agile Business Intelligence: State-of-the-art datamining involves recursive, iterative tools and
processes that can detect trends in trends, and identify even more oblique patterns in historical
and recent data.
Types of intellectual property protections
1) Copyrights
Copyrights are protected tangible expressions of creative works. The other answers listed are
answers to subsequent questions.
2) Trademarks
Protects the esteem and goodwill that an organization has built among the marketplace,
especially in public perception.
3) Patents
The legal mechanism for protecting intellectual property in the form of inventions, processes,
materials, decorations, and plant life.
4) Trade Secrets
A formula, device, idea, process, or other information used in a business that gives the owner a
competitive advantage in the marketplace.
Cloud Data Life Cycle
Answers.
Eucalyptus
An open source cloud computing and Infrastructure as a Service (IaaS) platform for enabling
private clouds.
FIPS 140-2
A NIST document that lists accredited and outmoded cryptosystems.
NIST 800-53
A guidance document with the primary goal of ensuring that appropriate security requirements
and controls are applied to all U.S. federal government information in information management
systems.
Trusted Cloud Initiative (TCI) Reference Model
The TCI reference model is a guide for cloud providers, allowing them to create a holistic
architecture (including the physical facility of the datacenter, the logical layout of the network,
and the processes necessary to utilize both) that cloud customers can purchase and use with
comfort and confidence.
Cloud Service Models
IaaS
PaaS
SaaS
Cloud Deployment Models
• Private - A virtualized data center
• Public - Available to everyone over the Internet
• Hybrid - A mix of public and private
• Community - Several organizations share the same resources
,Types of Data Categorization
1) Regulatory Compliance: Different business activities are susceptible to different regulations.
The organization may want to create categories based on which regulation(s) apply to a specific
dataset.
2) Business Function: The organization might want to have specific categories for different uses
of data. Perhaps the data is tagged based on its use in billing, marketing, or operations.
3) Functional Unit: Each department or office might have its own category, and keep all data it
controls within its own category.
4) By Project: Some organizations might define datasets by the projects they are associated
with, as a means of creating discrete, compartmentalized projects.
Types of Data Classification
1) Sensitivity: This is the classification model used by the military. Data is assigned a
classification according to the sensitivity of the data, based on the negative impact an
unauthorized disclosure would cause.
2) Jurisdiction: The geophysical location of the source or storage point of the data might have
significant bearing on how that data is treated and handled.
3) Criticality: Data that is deemed critical to organizational survival might be classified in a
manner distinct from trivial, basic operational data.
Data Discovery Methods
Label-based: Used when the discovery effort is considered in response to a mandate with a
specific purpose
Metadata-based: Used to collect all matching data elements for a certain purpose
Content-based: Used to locate and identify specific kinds of data by delving into the datasets
Data analytics: Creates new data feeds from sets of data already existing within the environment
Copyright
, The legal protection for expressions of ideas is known as "copyright." In the United States,
copyright is granted to anyone who first creates an expression of an idea. Usually, this involves
literary works, films, music, software, and artistic works.
Types of Data Analytics
Datamining: Refers to a kind of data analysis which is an outgrowth of the possibilities offered
by the regular use of the cloud, also known as "big data."
Real-time Analytics: In some cases, tools can provide datamining functionality concurrently
with data creation and use. These tools rely on automation and require efficiency to perform
properly.
Agile Business Intelligence: State-of-the-art datamining involves recursive, iterative tools and
processes that can detect trends in trends, and identify even more oblique patterns in historical
and recent data.
Types of intellectual property protections
1) Copyrights
Copyrights are protected tangible expressions of creative works. The other answers listed are
answers to subsequent questions.
2) Trademarks
Protects the esteem and goodwill that an organization has built among the marketplace,
especially in public perception.
3) Patents
The legal mechanism for protecting intellectual property in the form of inventions, processes,
materials, decorations, and plant life.
4) Trade Secrets
A formula, device, idea, process, or other information used in a business that gives the owner a
competitive advantage in the marketplace.
Cloud Data Life Cycle
