With static masking, a separate and distinct copy of the data set is created with masking in place.
This is typically done through a script or other process that takes a standard data set, processes it to mask the appropriate and predefined fields, and then outputs the data set as a new one with the completed masking done.

Explanation
Rapid elasticity allows a cloud environment to automatically add or remove resources to or from a system or application based on its current demands. Whereas a traditional data center model would require standby hardware and substantial effort to add resources in response to load increases, a cloud environment can easily and rapidly expand to meet resources demands, so long as the application is properly implemented for it.

Explanation
Within IaaS, the number of users on a system is not relevant to the particular hosting model in regard to cloud resources. IaaS is focused on infrastructure needs of a system or application. Therefore, a factor such as the number of users that could affect licensing requirements, for example, would apply to the SaaS model, or in some instances to PaaS.

Explanation
Hashing involves taking a block of data and, through the use of a one-way operation, producing a fixed-size value that can be used for comparison with other data. It is used primarily for protecting data and allowing for rapid comparison when matching data values such as passwords. Labels involve looking for header information or other categorizations of data to determine its type and possible classifications. Metadata involves looking at information attributes of the data, such as creator, application, type, and so on, in determining classification. Content analysis involves examining the actual data itself for its composition and classification level.