DBS-C01 Management and Operations Practice Question
A company is using Amazon DynamoDB with on-demand capacity. The application experiences increased latency during peak hours. The DynamoDB table receives about 5,000 writes per second and 10,000 reads per second. The read latency is high, but write latency is acceptable. What should the company do to reduce read latency?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Enable DynamoDB Accelerator (DAX) for the table.
DynamoDB Accelerator (DAX) is a fully managed, highly available, in-memory cache that significantly reduces read latency for DynamoDB tables, especially for repeated reads. DAX allows you to offload read traffic from the table and serve read requests from the cache, reducing the load on the table and improving response times. Option A is wrong because DynamoDB Streams is used to capture changes to items in the table, not to cache data or offload read traffic. Option B is wrong because DynamoDB does not support read replicas; DAX is the caching solution for reads. Option D is wrong because switching to provisioned capacity and enabling auto scaling would help with scaling write capacity but does not directly address high read latency; DAX is specifically designed for in-memory caching to improve read performance.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Enable DynamoDB Streams to offload read traffic.
Why it's wrong here
Enable DynamoDB Streams does not cache data or reduce read latency; it streams item changes to other services.
- ✗
Create a read replica of the DynamoDB table.
Why it's wrong here
DynamoDB does not support read replicas; DAX is the correct approach for caching reads.
- ✓
Enable DynamoDB Accelerator (DAX) for the table.
Why this is correct
DAX provides an in-memory cache that reduces read latency for DynamoDB tables.
- ✗
Switch to provisioned capacity and enable auto scaling.
Why it's wrong here
Switching to provisioned capacity with auto scaling helps manage throughput but does not provide caching for read latency.
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