Explanation
Auditing involves reports and evidence that show user activity, compliance with controls and regulations, the systems and processes that run and what they do, as well as information and data access and modification records. A cloud environment adds additional complexity to traditional audits because the cloud customer will not have the same level of access to systems and data as they would in a traditional data center.

Static masking involves taking a data set and replacing sensitive fields and values with non- sensitive or garbage data. This is done to enable testing of an application against data that resembles production data, both in size and format, but without containing anything sensitive.
Dynamic masking involves the live and transactional masking of data while an application is using it. Tokenized would refer to tokenization, which is the replacing of sensitive data with a key value that can later be matched back to the original value, and although it could be used as part of the production of test data, it does not refer to the overall process.
Replicated is provided as an erroneous answer, as replicated data would be identical in value and would not accomplish the production of a test set.

Public clouds, such as AWS and Azure, are massive systems run by major corporations, and they account for a significant share of Internet traffic and services. They are always expanding, offer enormous resources to customers, and are the least likely to run into resource constraints compared to the other deployment models. Private clouds would likely have the resources available for specific uses and could not be assumed to have a large pool of resources available for expansion. A community cloud would have the same issues as a private cloud, being targeted to similar organizations. A hybrid cloud, because it spans multiple clouds, would not fit the bill either, without the use of individual cloud models.