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Question 53

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?

    Correct Answer: C

    For a company with predictable workloads and scheduled peaks, using AWS Application Auto Scaling to schedule higher provisioned capacity during peak usage times and lower capacity during off-peak times is the most cost-effective solution. This approach allows the company to adjust capacity in line with actual usage patterns, ensuring consistent performance during peak times without the cost of maintaining high provisioned capacity throughout the week. On the other hand, while switching to on-demand mode can handle unpredictable spikes, it would generally be more expensive for predictable, scheduled workloads.

Discussion
rralucard_Option: C

Option C, using AWS Application Auto Scaling to schedule higher provisioned capacity for peak usage times and lower capacity during off-peak times, is the most cost-effective solution for the described scenario. It allows the company to align their DynamoDB capacity costs with actual usage patterns, scaling up only when needed and scaling down during low-usage periods.

pypelyncarOption: C

app autoscalling allows you to dynamically adjust provisioned capacity based on usage patterns. You only pay for the capacity you utilize, reducing costs compared to keeping a high, fixed capacity throughout the week

Christina666Option: C

D. Change the capacity mode from provisioned to on-demand... On-demand mode is great for unpredictable workloads. In your case, with predictable patterns, you'd likely pay more with on-demand than with a well-managed, scheduled, provisioned mode.

tgv

I agree with you, on-demand tends to be picked when you don't know the workload. While in this scenario they know, so technically the Auto Scaling solution would be much cheaper here.

FuriouZOption: C

Obviously better than B because of peak scaling

damaldon

C. https://docs.aws.amazon.com/autoscaling/application/userguide/services-that-can-integrate-dynamodb.html

sdas1

C https://docs.aws.amazon.com/wellarchitected/latest/serverless-applications-lens/capacity.html DynamoDB auto scaling modifies provisioned throughput settings only when the actual workload stays elevated or depressed for a sustained period of several minutes. This means that provisioned capacity is probably best for you if you have relatively predictable application traffic, run applications whose traffic is consistent, and ramps up or down gradually.

lucas_rfsbOption: D

As I understand, should be D

lucas_rfsb

But C is also a good choice. Maybe because it is predictable, I'm now intending to choose C

jpmadanOption: B

D Excerpts from documentation: This means that provisioned capacity is probably best for you if you have relatively predictable application traffic, run applications whose traffic is consistent, and ramps up or down gradually. Whereas on-demand capacity mode is probably best when you have new tables with unknown workloads, unpredictable application traffic and also if you only want to pay exactly for what you use. The on-demand pricing model is ideal for bursty, new, or unpredictable workloads whose traffic can spike in seconds or minutes, and when under-provisioned capacity would impact the user experience. https://docs.aws.amazon.com/wellarchitected/latest/serverless-applications-lens/capacity.html

jpmadan

selected answer should be D

tgv

Well, as your comment says: D - on-demand capacity mode is probably best when you have new tables with unknown workloads, unpredictable application traffic and also if you only want to pay exactly for what you use. That's not the case, they know exactly when they are expecting an increasing. So the most cost-effective solution is C - Auto Scaling.