Question 1,082 of 1,711
DEA-C01 Data Store Management Practice Question
Network Topology
A data engineer is analyzing a DynamoDB table for a session management application. The table currently has 10,000 items and is 1 MB in size. The application expects 1,000 writes per second during peak hours. What should the data engineer do to accommodate the write workload?
⚠ Common exam trap
Test-takers frequently confuse read-heavy optimizations (like DAX or global tables) with write performance, or assume that reducing item size alone can solve throughput issues, when the fundamental solution is to adjust the provisioned write capacity.
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 write capacity units (WCU) for the table.
DynamoDB write capacity is provisioned in Write Capacity Units (WCUs), and the table's current WCU setting is insufficient for 1,000 writes per second. Increasing the WCU ensures the table can handle the peak write throughput without throttling, as each WCU supports one write per second for items up to 1 KB. The table size (1 MB) and item count (10,000) are irrelevant to throughput capacity.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Reduce the item size to improve write performance.
Why it's wrong here
Reducing item size may help but cannot achieve 1,000 writes/second with 5 WCU.
- ✗
Use global tables to distribute writes across regions.
Why it's wrong here
Global tables replicate writes, but each region still needs sufficient WCU.
- ✓
Increase the write capacity units (WCU) for the table.
Why this is correct
The current WCU is 5, insufficient for 1,000 writes/second.
- ✗
Enable DynamoDB Accelerator (DAX) to offload writes.
Why it's wrong here
DAX caches reads, not writes.
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Last reviewed: Jul 4, 2026
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