DBS-C01 Workload-Specific Database Design Practice Question
Which TWO of the following are benefits of using Amazon DynamoDB Accelerator (DAX)? (Choose 2.)
⚠ Common exam trap
It's easy for candidates to confuse DAX's read caching with write optimization, leading candidates to incorrectly select that DAX improves write throughput or scales write capacity, when in fact DAX only accelerates reads and reduces read capacity consumption.
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
✓
Reduces read latency to microseconds for cached items
Amazon DynamoDB Accelerator (DAX) is an in-memory cache that delivers up to 10x read performance improvement, reducing read latency to microseconds for cached items. It sits between your application and DynamoDB, intercepting read requests and serving them from its cluster's memory, which avoids the millisecond-level latency of reading from DynamoDB's SSD storage.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Improves write throughput by caching write operations
Why it's wrong here
DAX caches reads, not writes.
- ✗
Reduces storage costs by compressing data
Why it's wrong here
DAX does not compress data or reduce storage costs.
- ✓
Reduces read latency to microseconds for cached items
Why this is correct
DAX provides microsecond read latency for cached data.
- ✗
Automatically scales write capacity based on demand
Why it's wrong here
DAX does not affect write scaling.
- ✓
Reduces the read capacity units consumed on the DynamoDB table
Why this is correct
Cached reads reduce RCU consumption.
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