A healthcare provider stores two types of files in an Amazon S3 bucket for patient consult… — AWS Certified Solutions Architect - Associate

A healthcare provider stores two types of files in an Amazon S3 bucket for patient consultations: session audio recordings (average size $180\text{ MB}$ ) and session text transcripts (average size $40\text{ KB}$ ). The audio recordings are accessed frequently for the first $15\text{ days}$ , after which they are rarely accessed, but must be retained for a total of $45\text{ days}$ before deletion. The text transcripts are accessed frequently for the first $10\text{ days}$ , after which they are rarely accessed, but must be deleted after a total of $25\text{ days}$ . Which lifecycle configuration is the most cost-effective for this data?

Transition the audio recordings to S3 Standard-Infrequent Access (S3 Standard-IA) after $15\text{ days}$ and delete them after $45\text{ days}$ . Keep the text transcripts in S3 Standard and delete them after $25\text{ days}$ .Answer
B
Transition both the audio recordings and the text transcripts to S3 Standard-IA after $15\text{ days}$ , and delete all files after $45\text{ days}$ .
C
Transition the audio recordings to S3 Standard-IA after $15\text{ days}$ and the text transcripts to S3 Standard-IA after $10\text{ days}$ , deleting the audio recordings after $45\text{ days}$ and the text transcripts after $25\text{ days}$ .
D
Transition both the audio recordings and the text transcripts to S3 Intelligent-Tiering immediately, and delete them after $45\text{ days}$ and $25\text{ days}$ respectively.

Answer

Transition the audio recordings to S3 Standard-IA after

15\text{ days}

and delete them after

45\text{ days}

. Keep the text transcripts in S3 Standard and delete them after

25\text{ days}

The correct strategy transitions the audio recordings to S3 Standard-IA after

15\text{ days}

and deletes them after

45\text{ days}

. Since

180\text{ MB}

exceeds the

128\text{ KB}

minimum object size and the

30\text{ days}

in S3 Standard-IA matches the minimum storage duration, no penalties are incurred. The text transcripts are kept in S3 Standard because their small size (

40\text{ KB}

) and short post-frequent lifespan (

15\text{ days}

) would trigger both the

128\text{ KB}

minimum size charge and the

30\text{ days}

minimum storage duration penalty if transitioned to S3 Standard-IA.

Step-by-Step Solution

Evaluate the storage characteristics and lifecycle requirements of the audio recordings.

The audio recordings are large (

180\text{ MB}

) and will spend

30\text{ days}

in the transitioned state (day

15

to day

45

). This perfectly matches the S3 Standard-IA requirements of a

128\text{ KB}

minimum object size and a

30\text{-day}

minimum storage duration.

To ensure that S3 Standard-IA is cost-effective, the objects must not trigger capacity or duration penalties.

Evaluate the storage characteristics and lifecycle requirements of the text transcripts.

The text transcripts are small (

40\text{ KB}

) and would spend only

15\text{ days}

in the transitioned state (day

10

to day

25

). Transitioning them to S3 Standard-IA would trigger a capacity charge penalty (billed at

128\text{ KB}

) and a duration penalty (billed for

30\text{ days}

Small objects with a short lifecycle should remain in S3 Standard to avoid the overhead of Infrequent Access minimums.

Determine the optimal configuration by combining the two analysis steps.

Transitioning only the audio recordings to S3 Standard-IA while keeping the text transcripts in S3 Standard minimizes the total cost.

This configuration avoids all minimum storage penalties while taking advantage of cheaper storage tiers for the larger, longer-lived audio data.

Key Concept

Cost-effective Amazon S3 lifecycle transitions require analyzing object size thresholds and minimum storage duration limits.

Question

Answer

Step-by-Step Solution

Key Concept

Common Mistakes

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