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Difficulty: Very hardAmazon S3 Storage Class and Lifecycle Optimization

A SysOps administrator is configuring an Amazon S3 Lifecycle policy for transaction logs that are uploaded daily. The logs must be retained for 3 years (1095 days) to meet compliance requirements. The access patterns and requirements for these logs are as follows:

* Days 0–15: Frequently accessed, requiring millisecond retrieval latency.
* Days 16–90: Infrequently accessed. However, if a retrieval request is made, the logs must be available within 5 minutes.
* Days 91–1095: Rarely accessed for annual audit compliance, where a retrieval latency of up to 12 hours is acceptable.

To minimize storage and retrieval costs, which TWO lifecycle policy configurations should the administrator implement to meet these requirements without incurring validation errors or early transition charges? (Select TWO.)

  1. Transition objects from S3 Standard to S3 Glacier Flexible Retrieval after 30 daysAnswer
  2. Transition objects from S3 Glacier Flexible Retrieval to S3 Glacier Deep Archive after 120 daysAnswer
  3. C
    Transition objects from S3 Standard to S3 Standard-IA after 15 days
  4. D
    Transition objects from S3 Standard to S3 Glacier Flexible Retrieval after 15 days, and then to S3 Glacier Deep Archive after 90 days
  5. E
    Transition objects from S3 Standard to S3 Standard-IA after 30 days, and then to S3 One Zone-IA after 60 days

Answer

Transitioning objects from S3 Standard to S3 Glacier Flexible Retrieval after 30 days, and transitioning objects from S3 Glacier Flexible Retrieval to S3 Glacier Deep Archive after 120 days.
Transitioning objects from S3 Standard to S3 Glacier Flexible Retrieval after 30 days avoids the S3 Standard-IA transition constraint of 30 days. S3 Glacier Flexible Retrieval supports Expedited Retrievals (1–5 minutes), meeting the retrieval time target. Transitioning from Glacier Flexible Retrieval to Glacier Deep Archive after 120 days ensures that the objects spend exactly 90 days (from day 30 to day 120) in Glacier Flexible Retrieval, avoiding early transition fees while utilizing S3 Glacier Deep Archive for the lowest long-term storage cost.

Step-by-Step Solution

1
Analyze retrieval latency and storage class alignment.
The requirements dictate: Days 0–15 need millisecond retrieval (S3 Standard or Standard-IA). Days 16–90 need under 5 minutes (Glacier Flexible Retrieval with Expedited Retrieval). Days 91–1095 need under 12 hours (Glacier Deep Archive).
This establishes which storage classes are capable of satisfying each phase's recovery time objectives.
2
Evaluate S3 Lifecycle rules for transitioning to S3 Standard-IA.
Transitioning to S3 Standard-IA at day 15 fails because S3 Lifecycle requires objects to remain in S3 Standard for at least 30 days before transitioning to S3 Standard-IA.
This eliminates configurations that attempt to transition to Standard-IA too early, which would cause policy validation errors.
3
Evaluate early transition fees and minimum storage durations.
Transitioning to Glacier Flexible Retrieval at day 15 and then to Glacier Deep Archive at day 90 means objects spend only 75 days in Glacier Flexible Retrieval. Because Glacier Flexible Retrieval has a 90-day minimum storage requirement, this incurs a prorated fee for 15 days.
This eliminates configurations that result in unnecessary early transition charges.
4
Determine the optimal transition schedule.
Transitioning to S3 Glacier Flexible Retrieval at day 30 meets the 30-day minimum standard. Keeping objects in Glacier Flexible Retrieval for 90 days (until day 120) satisfies the 90-day minimum storage period before transitioning to Glacier Deep Archive, avoiding early transition fees.
This confirms the correct two lifecycle actions.

Key Concept

S3 Lifecycle transition rules require objects to stay in S3 Standard for at least 30 days before moving to Standard-IA/One Zone-IA, and storage classes like Glacier Flexible Retrieval have a 90-day minimum storage duration that must be met to avoid early transition fees.
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Topics

Amazon S3 Storage Class and Lifecycle Optimization

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