Medium1 markMultiple Choice
AWS SAA-C03 · Question 43 · Domain 3.3: Database Performance
An application uses Amazon DynamoDB. During peak hours, the application experiences read throttling, even though the read capacity units (RCUs) are set high. The access pattern shows that a small number of items are being read thousands of times per second. How can this be resolved MOST efficiently?
An application uses Amazon DynamoDB. During peak hours, the application experiences read throttling, even though the read capacity units (RCUs) are set high. The access pattern shows that a small number of items are being read thousands of times per second. How can this be resolved MOST efficiently?
Answer options:
A.
Increase the RCUs further.
B.
Implement Amazon DynamoDB Accelerator (DAX).
C.
Change the partition key.
D.
Use DynamoDB Global Tables.
How to approach this question
Identify the 'hot key' problem in DynamoDB. DAX is the native caching solution to absorb these reads.
Full Answer
B.Implement Amazon DynamoDB Accelerator (DAX).✓ Correct
The scenario describes a 'hot key' or 'hot partition' issue where a few items are heavily accessed. Amazon DynamoDB Accelerator (DAX) is an in-memory cache that delivers up to a 10x performance improvement and absorbs the read load for hot items, preventing throttling.
Common mistakes
Trying to solve hot keys by just increasing RCUs, which wastes money.
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