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Difficulty: EasyData Lifecycle Management and Retention

An enterprise stores application logs in Azure Blob Storage. The logs are frequently accessed during the first 30 days. Between 30 and 180 days, they are accessed occasionally but still require immediate, sub-second retrieval. After 180 days, the logs are rarely accessed and can tolerate retrieval latencies of up to several hours. You need to configure a lifecycle management policy to minimize storage costs. Which two actions should you include in the policy rule?

  1. Transition blobs to cool storage 30 days after creationAnswer
  2. Transition blobs to archive storage 180 days after creationAnswer
  3. C
    Transition blobs to archive storage 30 days after creation
  4. D
    Transition blobs to archive storage immediately upon creation

Answer

Transition blobs to cool storage 30 days after creation AND Transition blobs to archive storage 180 days after creation
The correct options transition the blobs to cool storage after 30 days and to archive storage after 180 days. This matches the access patterns and retrieval latency limits: the cool tier allows immediate sub-second access for the occasional queries between days 30 and 180, and the archive tier minimizes cost after 180 days when latency is no longer a concern.

Step-by-Step Solution

1
Analyze access frequency and latency requirements for the first phase (0-30 days).
Data is frequently accessed, requiring Hot tier (default) storage.
Hot tier provides the lowest retrieval latency for frequent access.
2
Analyze access frequency and latency requirements for the second phase (30-180 days).
Identify that Cool tier matches occasional access with sub-second retrieval times.
Transitioning to Cool storage after 30 days saves costs while satisfying the immediate retrieval constraint.
3
Analyze access frequency and latency requirements for the final phase (after 180 days).
Identify that Archive tier is appropriate as retrieval latency is no longer a constraint.
Transitioning to Archive storage after 180 days maximizes cost savings for rarely accessed data.

Key Concept

Azure Blob Storage lifecycle management policy rules support transitioning blobs to cooler storage tiers (Cool, Cold, Archive) based on the age of the blob to optimize costs while respecting retrieval latency constraints.
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Topics

Data Lifecycle Management and Retention

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