DEA-C01 Data Operations and Support Practice Question
A team manages an Amazon DynamoDB table with on-demand capacity. Recently, they noticed increased throttling errors during peak hours. The table has a Lambda trigger that processes changes and writes to an S3 bucket. Which design change would BEST reduce throttling?
⚠ Common exam trap
A common mix-up: candidates assume throttling is always due to insufficient write capacity, but the question's context of a Lambda trigger writing to S3 can increase read traffic (e.g., via stream processing or re-reading items), making DAX a read-side solution that addresses the actual cause.
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
✓
Implement DynamoDB Accelerator (DAX) to cache frequent reads.
DynamoDB Accelerator (DAX) provides an in-memory cache that reduces the number of read requests hitting the table, which can alleviate throttling during peak hours. The question describes throttling errors, which are typically caused by exceeding the table's read or write capacity; DAX offloads read traffic, reducing the load on the table and thus decreasing throttling events.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Switch the table to provisioned capacity and enable auto-scaling.
Why it's wrong here
On-demand tables already handle spikes; auto-scaling is for provisioned mode.
- ✗
Increase the write capacity units to handle the peak load.
Why it's wrong here
On-demand tables do not use write capacity units.
- ✗
Enable S3 bucket versioning to reduce the number of writes.
Why it's wrong here
S3 versioning does not affect DynamoDB operations.
- ✓
Implement DynamoDB Accelerator (DAX) to cache frequent reads.
Why this is correct
DAX reduces read load on the table, lowering throttling.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
Go deeper
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DEA-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DEA-C01 exam.