DBS-C01 · Question #154
An online retail company is planning a multi-day flash sale that must support processing of up to 5,000 orders per second. The number of orders and exact schedule for the sale will vary each day…
The correct answer is A. Amazon DynamoDB with on-demand capacity mode. The number of orders and exact schedule for the sale will vary each day. During the sale, approximately 10,000 concurrent users will look at the deals before buying items. Outside of the sale, the traffic volume is very low ==> Setting provisioning DynamoDB fix read 5000/write…
Question
An online retail company is planning a multi-day flash sale that must support processing of up to 5,000 orders per second. The number of orders and exact schedule for the sale will vary each day. During the sale, approximately 10,000 concurrent users will look at the deals before buying items. Outside of the sale, the traffic volume is very low. The acceptable performance for read/write queries should be under 25 ms. Order items are about 2 KB in size and have a unique identifier. The company requires the most cost- effective solution that will automatically scale and is highly available. Which solution meets these requirements?
Options
- AAmazon DynamoDB with on-demand capacity mode
- BAmazon Aurora with one writer node and an Aurora Replica with the parallel query feature
- CAmazon DynamoDB with provisioned capacity mode with 5,000 write capacity units (WCUs) and
- DAmazon Aurora with one writer node and two cross-Region Aurora Replicas
How the community answered
(25 responses)- A56% (14)
- B4% (1)
- C12% (3)
- D28% (7)
Explanation
The number of orders and exact schedule for the sale will vary each day. During the sale, approximately 10,000 concurrent users will look at the deals before buying items. Outside of the sale, the traffic volume is very low ==> Setting provisioning DynamoDB fix read 5000/write 10000 with will waste the resource when the traffic is low. It is not cost-effective.
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