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Answer: Use AWS Application Auto Scaling to schedule higher provisioned capacity for peak usage times. Schedule lower capacity during off-peak times.
Option C is CORRECT because using AWS Application Auto Scaling to schedule higher provisioned capacity for peak usage times and lower capacity during off-peak times ensures that the application performs consistently during peak usage while optimizing costs. This approach allows the company to automatically adjust capacity based on the predictable load patterns, minimizing the cost compared to keeping the maximum provisioned capacity all the time.
Author: Ritesh Yadav
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Question 9/60
A company stores data from an application in an Amazon DynamoDB table that operates in provisioned capacity mode. The workloads of the application have predictable throughput load on a regular schedule. Every Monday, there is an immediate increase in activity early in the morning. The application has very low usage during weekends.
The company must ensure that the application performs consistently during peak usage times.
Which solution will meet these requirements in the MOST cost-effective way?
A
Increase the provisioned capacity to the maximum capacity that is currently present during peak load times.
B
Divide the table into two tables. Provision each table with half of the provisioned capacity of the original table. Spread queries evenly across both tables.
C
Use AWS Application Auto Scaling to schedule higher provisioned capacity for peak usage times. Schedule lower capacity during off-peak times.
D
Change the capacity mode from provisioned to on-demand. Configure the table to scale up and scale down based on the load on the table.
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