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A company collects data from a large number of participants who use wearable devices. The company stores the data in an Amazon DynamoDB table and uses applications to analyze the data. The data workload is constant and predictable. The company wants to stay at or below its forecasted budget for DynamoDB.
Which solution will meet these requirements MOST cost-effectively?
A
Use provisioned mode and DynamoDB Standard-Infrequent Access (DynamoDB Standard-IA). Reserve capacity for the forecasted workload.
B
Use provisioned mode. Specify the read capacity units (RCUs) and write capacity units (WCUs).
C
Use on-demand mode. Set the read capacity units (RCUs) and write capacity units (WCUs) high enough to accommodate changes in the workload.
D
Use on-demand mode. Specify the read capacity units (RCUs) and write capacity units (WCUs) with reserved capacity.
Explanation:
Correct Answer: A
Why Option A is correct:
Why other options are incorrect:
Option B: While provisioned mode is correct for predictable workloads, this option doesn't mention reserving capacity. Without reserved capacity, you're paying the standard provisioned rates, which are higher than reserved capacity rates.
Option C: On-demand mode is designed for unpredictable workloads with spiky traffic patterns. It's more expensive than provisioned mode for constant, predictable workloads. Setting RCUs/WCUs high enough for changes contradicts the "constant and predictable" nature of the workload.
Option D: On-demand mode doesn't support specifying RCUs/WCUs with reserved capacity. Reserved capacity is only available for provisioned capacity mode. This option mixes incompatible concepts.
Key AWS Concepts:
Best Practice: For constant, predictable workloads with budget constraints, always use provisioned capacity with reserved capacity commitments to maximize cost savings.