SAP-C02 Continuous Improvement for Existing Solutions Practice Question
A company uses Amazon DynamoDB for a gaming application. The table has a partition key of 'user_id' and a sort key of 'game_id'. The application experiences high latency during peak hours. Which TWO actions would improve read performance?
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 read capacity units for the table.
Increasing read capacity units (RCUs) directly increases the number of read operations per second, reducing latency during peak hours. Option C is correct because DynamoDB Accelerator (DAX) is an in-memory cache that significantly reduces read latency by caching frequently accessed items. Option E, adding a Global Secondary Index (GSI), can improve query performance but not necessarily overall read latency for existing access patterns; it is a design change that may not address peak-hour latency directly. Option A is incorrect because global tables are for multi-region replication, not single-region performance. Option D is incorrect because changing the sort key does not improve read performance; sort key affects ordering within a partition, not throughput.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use DynamoDB global tables to replicate data to another region.
Why it's wrong here
Global tables improve availability, not read latency in the same region.
- ✓
Increase the read capacity units for the table.
Why this is correct
More read capacity reduces throttling and latency.
- ✓
Enable DynamoDB Accelerator (DAX) for the table.
Why this is correct
DAX improves read performance but is not a capacity adjustment.
- ✗
Change the table's sort key to a more evenly distributed attribute.
Why it's wrong here
Changing sort key requires recreating the table.
- ✗
Add a Global Secondary Index with a different partition key.
Why it's wrong here
GSI allows querying on different attributes and distributes load.
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