Explanation: All the others are data analytics methods, but “refractory iterations” is a nonsense term thrown in as a red herring.

Explanation: DLP tools can identify outbound traffic that violates the organization’s policies. DLP will not protect against losses due to performance issues or power failures. The DLP solution must be configured according to the organization’s policies, so bad policies will attenuate the effectiveness of DLP tools, not the other way around.

Explanation: Data discovery is a term used to describe the process of identifying information according to specific traits or categories. The rest are all methods for obscuring data.

Explanation: Data masking does not support authentication in any way. All the others are excellent use cases for data masking.

Explanation: SIEM does not intend to provide any enhancement of performance; in fact, a SIEM solution may decrease performance because of additional overhead. All the rest are goals of SIEM implementations.

Explanation: Copyrights are protected tangible expressions of creative works. The other answers listed are answers to subsequent questions.

Explanation: In legal terms, when “data processor” is defined, it refers to anyone who stores, handles, moves, or manipulates data on behalf of the data owner or controller. In the cloud computing realm, this is the cloud provider.

Explanation: We don’t have physical ownership, control, or even access to the devices holding the data, so physical destruction, including melting, is not an option. Overwriting is a possibility, but it is complicated by the difficulty of locating all the sectors and storage areas that might have contained our data, and by the likelihood that constant backups in the cloud increase the chance we’ll miss something as it’s being overwritten. Cryptoshredding is the only reasonable alternative. Cold fusion is a red herring.

Explanation: Patents protect processes (as well as inventions, new plantlife, and decorative patterns). The other answers listed are answers to other questions.

Explanation: DLP does not have anything to do with elasticity, which is the capability of the environment to scale up or down according to demand. All the rest are goals of DLP implementations.