A financial services firm is designing a data retention strategy for transaction audit logs stored in an Azure Data Lake Storage Gen2 (ADLS Gen2) account. The logs must be managed according to the following requirements:
* The logs are actively analyzed and must remain in the Hot tier for the first days.
* From day to day , the logs are accessed occasionally for reporting. The reporting application requires immediate, sub-second retrieval latency.
* After days, the logs must be retained for years ( days) to comply with regulatory audits. During this time, they are rarely accessed, and a retrieval latency of several hours is acceptable.
* Storage costs must be minimized.
Which lifecycle management policy should you recommend?
- ATransition the logs to the Archive tier after days, and delete the logs after days.
- BTransition the logs to the Cool tier after days, transition the logs to the Archive tier after days, and delete the logs after days.
- Transition the logs to the Cool tier after days, transition the logs to the Archive tier after days, and delete the logs after days.Cevap
- DTransition the logs to the Cool tier after days, transition the logs to the Archive tier after days, and delete the logs after days.
Cevap
Transition the logs to the Cool tier after days, transition the logs to the Archive tier after days, and delete the logs after days.
The correct lifecycle policy transitions the logs to the Cool tier after days to maintain sub-second retrieval latency for reporting, moves them to the Archive tier after days to minimize storage costs for the remainder of the years, and deletes them after days to comply with the retention policy.
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Anahtar Kavram
Azure Storage lifecycle management allows automated tiering between Hot, Cool, and Archive tiers, along with automated deletion, based on age to balance retrieval latency requirements and storage costs.