DBS-C01 Cache hit ratio Practice Question
A company is using Amazon ElastiCache for Redis to cache database query results. The cache cluster is a single node. The application experiences increased latency when the cache misses. Which TWO actions can improve the 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
✓
Increase the Time-to-Live (TTL) for cached items.
Options A and E are correct. Option A: Increasing TTL keeps data in cache longer, reducing cache misses. Option E: Implementing lazy loading populates the cache on read requests, improving hit ratio over time. Option B is wrong because disabling persistence does not affect cache hit ratio. Option C is wrong because decreasing TTL would increase cache misses. Option D is wrong because adding read replicas improves read throughput but does not improve cache hit ratio.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Increase the Time-to-Live (TTL) for cached items.
Why this is correct
Increasing TTL keeps data in cache longer, reducing cache misses.
- ✗
Disable persistence to free memory.
Why it's wrong here
Disabling persistence frees memory but does not improve the cache hit ratio.
- ✗
Decrease the Time-to-Live (TTL) for cached items.
Why it's wrong here
Decreasing TTL would cause data to expire sooner, increasing cache misses.
- ✗
Add read replicas to the ElastiCache cluster.
Why it's wrong here
Adding read replicas improves read throughput but does not affect the cache hit ratio.
- ✓
Implement lazy loading to populate the cache on read requests.
Why this is correct
Lazy loading populates the cache on read requests, which can gradually improve the hit ratio.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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