During which phase of the cloud data lifecycle is it possible for the classification of data to change?
During which phase of the cloud data lifecycle is it possible for the classification of data to change?
During the archive phase, the properties of data, such as relevancy, criticality, and confidentiality requirements, can change over time. A piece of data that is classified today may become unclassified or have different classification levels after some years or decades as its importance diminishes or as security contexts evolve. Therefore, data should be reevaluated for classification changes when it is archived.
C. Create
B. By the time data is archived, its properties such as relevancy and criticality, as well as confidentiality requirements will change over time. A piece of data that may be classified today may very well be unclassified a few years or decades later.
The Create includes "modify" action
At what stage is classification assigned? = Create stage of the data lifecycle During which phase of the cloud data lifecycle is it possible for the classification of data to change? I'll choose Archiving stage
Modify also equals to create, so while modifying data classification can change. Archive would be, when it is suitable to change the classification. question appears to be asking unintended change of classification.
A. Use
answer is : use
According to CCSP materials, DLP (Data Loss Prevention) technologies are indeed used during the "Use" phase of the cloud data lifecycle
Your reply doesn't make sense and do not comprehend to the question being asked.
Yeah, you are right... that was a comment for another question, nevertheless, I agree that Archive is when might change the classificatin due moving it to a cold storage
As per my understanding, as per the SOP's of archiving, the data set is always reevaluated for reclassification and relabeling, as per the prevailing criticality. My answer would be 'B' archive.
A. Use: Data is processed, accessed, and used by applications and users. During this phase, the context in which the data is used can lead to reclassification. For instance, data that was initially classified as "internal" might be reclassified as "sensitive" based on how it is being used or the insights derived from it.