CAS-001 · Question #128
In order for a company to boost profits by implementing cost savings on non-core business activities, the IT manager has sought approval for the corporate email system to be hosted in the cloud. The…
The correct answer is C. Data provisioning, processing, in transit, at rest, and de-provisioning. A data lifecycle framework covers every phase data passes through from origin to disposal. Option C - 'Data provisioning, processing, in transit, at rest, and de-provisioning' - maps directly to the canonical cloud data lifecycle: (1) provisioning (data is created/ingested)…
Question
In order for a company to boost profits by implementing cost savings on non-core business activities, the IT manager has sought approval for the corporate email system to be hosted in the cloud. The compliance officer has been tasked with ensuring that data lifecycle issues are taken into account. Which of the following BEST covers the data lifecycle end-to-end?
Options
- ACreation and secure destruction of mail accounts, emails, and calendar items
- BInformation classification, vendor selection, and the RFP process
- CData provisioning, processing, in transit, at rest, and de-provisioning
- DSecuring virtual environments, appliances, and equipment that handle email
How the community answered
(56 responses)- A2% (1)
- B7% (4)
- C88% (49)
- D4% (2)
Explanation
A data lifecycle framework covers every phase data passes through from origin to disposal. Option C - 'Data provisioning, processing, in transit, at rest, and de-provisioning' - maps directly to the canonical cloud data lifecycle: (1) provisioning (data is created/ingested), (2) processing (data is used/transformed), (3) in transit (data moves between systems/users), (4) at rest (data is stored), and (5) de-provisioning (data is securely deleted). This covers all states data can occupy in a cloud email system. Option A only covers endpoints (creation and deletion of accounts/emails) and omits the storage, transmission, and processing phases. Option B describes a procurement and governance process, not a data lifecycle. Option D describes infrastructure hardening, not the data's own lifecycle stages. Only C accounts for data through every phase of its existence.
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