A large ecommerce company uses Amazon DynamoDB to handle the transactions on its web portal. Traffic patterns throughout the year are usually stable; however, a large event is planned. The company knows that traffic will increase by up to 10 times the normal load over the 3-day event. When sale prices are published during the event, traffic will spike rapidly.
How should a Database Specialist ensure DynamoDB can handle the increased traffic?
A. Ensure the table is always provisioned to meet peak needs
B. Allow burst capacity to handle the additional load
C. Set an AWS Application Auto Scaling policy for the table to handle the increase in traffic
D. Preprovision additional capacity for the known peaks and then reduce the capacity after the event
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D;
C is wrong – Auto-scaling is for EC2 instances; in Dynamo it’s called ONDEMAND
When you choose on-demand mode, DynamoDB instantly accommodates your workloads as they ramp up or down to any previously reached traffic level. If a workload’s traffic level hits a new peak, DynamoDB adapts rapidly to accommodate the workload. Tables that use on-demand mode deliver the same single-digit millisecond latency, service-level agreement (SLA) commitment, and security that DynamoDB already offers.
Ans D – As it it is known and only prepovision would help.
my answer is “C”
When you create a DynamoDB table, auto scaling is the default capacity setting, but you can also enable auto scaling on any table that does not have it active.
https://aws.amazon.com/blogs/database/amazon-dynamodb-auto-scaling-performance-and-cost-optimization-at-any-scale/
Ans C
DynamoDB currently retains up to 5 minutes (300 seconds) of unused read and write capacity. During an occasional burst of read or write activity, these extra capacity units can be consumed quickly—even faster than the per-second provisioned throughput capacity that you’ve defined for your table.
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/bp-partition-key-design.html