AWS Certified Data Engineer - Associate DEA-C01Demo

By Amazon · Question Mode

QuestionQ46

Data Store Management

A company stores application data in an Amazon DynamoDB table that uses provisioned capacity mode. The application's workloads have predictable throughput demand on a regular schedule. Every Monday, activity increases immediately early in the morning. The application has very low usage on weekends.

The company must ensure that the application performs consistently during periods of peak usage.

Which solution will satisfy 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.
Explanation

For a predictable, scheduled DynamoDB workload, scheduled AWS Application Auto Scaling can increase provisioned read and write capacity before the Monday-morning demand surge and reduce it during low-usage weekend periods. This provides capacity when needed while avoiding the cost of maintaining peak provisioned throughput continuously. AWS recommends scheduling an auto-scaling capacity increase before a scheduled workload runs.

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