DEA-C01 Data Store Management Practice Question

A company uses Amazon DynamoDB as the primary data store for a gaming application. The application stores user profiles and game state. During peak hours, the application experiences throttling on writes to the UserProfiles table. The table's read capacity is underutilized. Which solution should resolve the write throttling?

⚠ Common exam trap

Test-takers frequently confuse read and write capacity solutions, such as selecting DAX (which only helps reads) or auto scaling for reads, when the issue is specifically write throttling.

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 provisioned write capacity units for the table.

Write throttling occurs when the number of write requests exceeds the provisioned write capacity units (WCUs) for the DynamoDB table. Since the read capacity is underutilized, the correct solution is to increase the provisioned WCUs to accommodate the peak write traffic. This directly addresses the capacity deficit without affecting read operations.

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 provisioned write capacity units for the table.
Why this is correct
Increasing write capacity resolves write throttling.
✗
Enable DynamoDB Accelerator (DAX) on the table.
Why it's wrong here
DAX is a caching layer for reads, not writes.
✗
Add a global secondary index (GSI) to the table.
Why it's wrong here
GSIs improve query performance but do not increase write capacity.
✗
Configure auto scaling for read capacity units.
Why it's wrong here
Auto scaling for reads does not help with write throttling.

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DEA-C01 Data Store Management Practice Question

Why each option matters

Option-by-option breakdown

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