WGU D320 80
Question Version
(JYO2)
, WGU D320
WGU D320 80 Question Version (JYO2)
214 Terms in this set Latest Update.
A process that assesses and identifies the potential effects of disruptions to a
Business Impact Analysis (BIA)
business operation.
SPOF A component or system that, if it fails, will cause the entire system to fail.
Quantitative Risk assessment that uses specific numerical values
Risk assessment that uses non-numerical categories that are relative in nature,
Qualitative
such as high, medium, and low.
Risk appetite level, amount, or type of risk that the organization finds acceptable
Residual risk The remaining risk that exists after countermeasures have been applied.
Service model where cloud customer has the
most responsibility and authority. Cloud provider
IaaS
is only liable for the underlying hardware.
Service model where cloud customer loses more
control because the cloud provider is
PaaS responsible for installing, maintaining, and
administering the OS as well as underlying
hardware.
Service model where cloud customer loses all
control of the environment. Cloud provider is
SaaS
responsible for all of the underlying hardware
and software.
Homomorphic encryption A method of processing data in the cloud while it remains encrypted.
A security strategy that involves implementing multiple overlapping layers of
Defense in depth
security measures to protect an environment.
Data owner Organization that has collected or created the data.
Person or entity that is tasked with the daily maintenance and administration of the
Data Custodian
data.
Any org or person who manipulates, stores, or moves the data on behalf of the
Data Processor
data owner
The process of creating an inventory or conducting e-discovery to identify and
Data discovery
locate data.
Label-based discovery A data discovery method that is aided by labels created by the data owner.
A data discovery method that involves discovering data using metadata traits and
Metadata-based discovery
characteristics.
Refers to finding information or resources based on their characteristics,
Content-based discovery
attributes, or content rather than relying on predefined keywords or categories.
Data that is organized and formatted in a way that is easily searchable and can be
Structured data
processed by computers.
®™
Question Version
(JYO2)
, WGU D320
WGU D320 80 Question Version (JYO2)
214 Terms in this set Latest Update.
A process that assesses and identifies the potential effects of disruptions to a
Business Impact Analysis (BIA)
business operation.
SPOF A component or system that, if it fails, will cause the entire system to fail.
Quantitative Risk assessment that uses specific numerical values
Risk assessment that uses non-numerical categories that are relative in nature,
Qualitative
such as high, medium, and low.
Risk appetite level, amount, or type of risk that the organization finds acceptable
Residual risk The remaining risk that exists after countermeasures have been applied.
Service model where cloud customer has the
most responsibility and authority. Cloud provider
IaaS
is only liable for the underlying hardware.
Service model where cloud customer loses more
control because the cloud provider is
PaaS responsible for installing, maintaining, and
administering the OS as well as underlying
hardware.
Service model where cloud customer loses all
control of the environment. Cloud provider is
SaaS
responsible for all of the underlying hardware
and software.
Homomorphic encryption A method of processing data in the cloud while it remains encrypted.
A security strategy that involves implementing multiple overlapping layers of
Defense in depth
security measures to protect an environment.
Data owner Organization that has collected or created the data.
Person or entity that is tasked with the daily maintenance and administration of the
Data Custodian
data.
Any org or person who manipulates, stores, or moves the data on behalf of the
Data Processor
data owner
The process of creating an inventory or conducting e-discovery to identify and
Data discovery
locate data.
Label-based discovery A data discovery method that is aided by labels created by the data owner.
A data discovery method that involves discovering data using metadata traits and
Metadata-based discovery
characteristics.
Refers to finding information or resources based on their characteristics,
Content-based discovery
attributes, or content rather than relying on predefined keywords or categories.
Data that is organized and formatted in a way that is easily searchable and can be
Structured data
processed by computers.
®™
