Question 1,320 of 1,663
DBS-C01 Monitoring and Troubleshooting Practice Question
A company is using Amazon DynamoDB Accelerator (DAX) to improve read performance. Recently, the cache hit ratio has dropped significantly. The application uses strongly consistent reads. What is the most likely cause of the low cache hit ratio?
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
✓
The application is using strongly consistent reads, which bypass the DAX cache
DAX (DynamoDB Accelerator) is designed to cache data for eventually consistent reads only. When an application uses strongly consistent reads, those requests bypass the DAX cache entirely and go directly to DynamoDB, resulting in a low cache hit ratio. Option A is incorrect because low write capacity may cause throttling but does not directly affect the cache hit ratio. Option C is incorrect because having too few nodes can impact performance and availability, but the primary cause of the drop in cache hits is the consistency model mismatch. Option D is incorrect because while a low TTL can reduce cache effectiveness, the key issue here is that strongly consistent reads never use the cache.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The DynamoDB table's write capacity is too low
Why it's wrong here
Write capacity does not affect cache hit ratio.
- ✓
The application is using strongly consistent reads, which bypass the DAX cache
Why this is correct
DAX only caches eventually consistent reads; strongly consistent reads go directly to DynamoDB.
- ✗
The DAX cluster has too few nodes
Why it's wrong here
Cluster size affects cache capacity but not which reads are cached.
- ✗
The DAX cluster's TTL is set too low
Why it's wrong here
Low TTL would cause items to expire early but does not explain the consistency issue.
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Last reviewed: Jun 20, 2026
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