Exam AWS Certified Solutions Architect - Professional SAP-C02 topic 1 question 254 discussion

It's D. Purchase Savings Plans in Cost Explorer is not for DynamoDB. At least not today.

Repeated lookups = DAX Avoid bursts = Provisioned Capacity

DAX is not ideal for batch writes

DAX is more expensive than Elasticache. Therefore, A.

DynamoDB Accelerator (DAX): This in-memory cache reduces read latency and improves read throughput for frequently accessed data. Since the application has burst read activity and repeatedly accesses a limited set of keys, DAX can significantly improve performance and reduce costs associated with read throughput on DynamoDB. Provisioned capacity mode: While on-demand capacity mode eliminates the need for upfront planning, it can be costly for applications with predictable workloads. Provisioned capacity allows for better cost optimization and predictability by specifying the minimum and maximum capacity required throughout the day. DynamoDB auto scaling: This feature automatically adjusts provisioned capacity based on actual usage patterns. This ensures that the table has sufficient capacity during peak hours while avoiding wasted resources during off-peak periods, further reducing costs.

option D

Did you read the question? To reduce costs you can use DAX. https://aws.amazon.com/dynamodb/dax/ Here is nothing in the question about saving plans or else.

Correct D.

The D looks like a perfect solution. But the question is only asking to reduce the cost, so I would like to choose C instead.

Isn't DAX extremely expensive? Weird question.

its a D

DAX + Provision Capactiy + Auto Scaling meets the need

Savings plan is for EC2, B and C are out. A is for read boost. D is correct. https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.ReadWriteCapacityMode.html#HowItWorks.ProvisionedThroughput.Manual

DynamoDB Accelerator (DAX) is an in-memory caching service provided by AWS that is specifically designed to enhance the performance of Amazon DynamoDB. It acts as a caching layer between your application and DynamoDB, reducing the need to directly access the DynamoDB service for frequently accessed data. D!

DAX + Provision Capactiy + Auto Scaling meets the need

Deploying DynamoDB Accelerator (DAX) will help in caching read activity, which can reduce the read cost because DAX is a fully managed, highly available, in-memory cache for DynamoDB that can improve the read performance by up to 10 times, even at millions of requests per second. The use of provisioned capacity mode allows you to set the capacity for your table to handle expected workloads, and the table's capacity will not scale up and down based on traffic patterns, which could potentially reduce cost when compared to on-demand capacity mode if your usage is predictable.

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