AWS Certified CloudOps Engineer Associate SOA-C03 Practice Question
A company runs a web application that stores user session data in an Amazon DynamoDB table configured with provisioned capacity. Traffic is normally low but occasionally experiences unpredictable spikes that exceed the table's read capacity, resulting in throttling. The operations team must eliminate throttling during spikes while keeping costs low during normal traffic and without changing any application code. Which solution meets these requirements?
Enable DynamoDB auto scaling for the table's read capacity and set an appropriate minimum and maximum range.
Manually increase the table's provisioned read capacity to the highest observed traffic peak.
Change the table from provisioned to on-demand capacity mode.
Create a new table with higher provisioned capacity and replicate data into it by using DynamoDB Streams.
Changing the table to on-demand capacity mode lets DynamoDB automatically accommodate sudden increases in traffic up to double the previous peak, while charging only for the actual read and write requests. This removes the need to forecast capacity and prevents throttling when unpredictable spikes occur.
Enabling auto scaling on a provisioned table can still allow throttling because scaling is incremental and may lag behind sudden bursts. Manually raising provisioned capacity to the highest observed peak would stop throttling but wastes money when traffic is low. Replicating data to another table adds complexity and does not address the root cause of capacity shortages.
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What is the difference between provisioned and on-demand capacity modes in DynamoDB?
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AWS Certified CloudOps Engineer Associate SOA-C03
Reliability and Business Continuity
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