DBS-C01 Management and Operations Practice Question
A company uses Amazon DynamoDB with on-demand capacity for a mobile application. During a marketing campaign, write traffic spikes to 10,000 writes per second for 5 minutes. The application experiences throttling after the first minute. The DynamoDB table has a single partition key. What should be done to prevent throttling in future campaigns?
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
✓
Redesign the partition key to ensure write traffic is evenly distributed across partitions.
Throttling with on-demand capacity often results from a hot partition caused by a single partition key. On-demand capacity handles total throughput but still has per-partition throughput limits. Redesigning the partition key to distribute writes evenly across partitions resolves the hotspot. Option B is wrong because DAX is an in-memory cache for reads, not writes. Option C is wrong because switching to provisioned capacity with 10,000 WCUs would still hit partition-level limits if the partition key design is poor. Option D is wrong because pre-warming does not affect per-partition throughput ceilings.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Redesign the partition key to ensure write traffic is evenly distributed across partitions.
Why this is correct
Throttling with on-demand capacity often results from a hot partition caused by a single partition key. On-demand capacity handles total throughput but still has per-partition throughput limits. Redesigning the partition key to distribute writes evenly across partitions resolves the hotspot.
- ✗
Enable DynamoDB Accelerator (DAX) to cache write requests.
Why it's wrong here
DAX is an in-memory cache for reads, not writes.
- ✗
Switch to provisioned capacity and increase write capacity units to 10,000.
Why it's wrong here
Switching to provisioned capacity with 10,000 WCUs would still hit partition-level limits if the partition key design is poor.
- ✗
Pre-warm the table by writing dummy data before the campaign.
Why it's wrong here
Pre-warming does not affect per-partition throughput ceilings.
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