The answer is to enable DynamoDB auto scaling for write capacity with a target utilization of 70%. This solution is correct because auto scaling dynamically adjusts provisioned write capacity units (WCUs) based on actual traffic, using the target utilization as a control point to scale up before throttling occurs during write spikes, then scales down when demand subsides—balancing cost and performance without manual intervention. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding of how DynamoDB auto scaling handles write spikes in provisioned capacity tables, often appearing as a cost-optimization question where the trap is choosing a fixed over-provisioning approach or a read-scaling solution for a write problem. A common memory tip: think of the 70% target as a “safety buffer” that leaves headroom for sudden bursts, preventing ProvisionedThroughputExceeded exceptions while keeping costs lean.
DEA-C01 Data Store Management Practice Question
This DEA-C01 practice question tests your understanding of data store management. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company uses Amazon DynamoDB with provisioned capacity. During a sales event, write traffic spikes and some requests receive ProvisionedThroughputExceeded exceptions. The reads are within limits. The data engineer needs to minimize latency for the spike without manual intervention. Which solution is MOST cost-effective?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "minimum / minimize"
Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Enable DynamoDB auto scaling for write capacity with a target utilization of 70%.
Option C is correct because DynamoDB auto scaling for write capacity automatically adjusts the provisioned write capacity units (WCUs) based on the actual traffic pattern, using a target utilization of 70% to balance cost and performance. This eliminates manual intervention and handles spikes efficiently by scaling up before throttling occurs, while remaining cost-effective since capacity scales down when traffic subsides.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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 Amazon SQS to buffer write requests and process them in batches.
Why it's wrong here
Buffering adds latency and does not prevent ProvisionedThroughputExceeded exceptions; it only queues the requests.
✗
Disable auto scaling and set write capacity to the peak observed value.
Why it's wrong here
This over-provisions capacity, increasing cost unnecessarily when traffic is low.
✓
Enable DynamoDB auto scaling for write capacity with a target utilization of 70%.
Why this is correct
Auto scaling adjusts capacity dynamically based on traffic, handling spikes cost-effectively.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Enable DynamoDB Accelerator (DAX) to cache write operations.
Why it's wrong here
DAX is a read cache and does not help with write throughput exceptions.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse DAX as a solution for write performance, but DAX only accelerates reads (via caching) and does not mitigate write throttling, leading to an incorrect choice of Option D.
Detailed technical explanation
How to think about this question
DynamoDB auto scaling uses the AWS Application Auto Scaling service to adjust provisioned capacity based on CloudWatch metrics like ConsumedWriteCapacityUnits, with a target utilization (e.g., 70%) that triggers scaling policies to add or remove capacity. Under the hood, auto scaling has a cooldown period (default 60 seconds) to prevent rapid fluctuations, which can cause brief throttling during sudden spikes if the scaling doesn't react fast enough—this is why combining auto scaling with a small buffer (like SQS) or burst capacity can be beneficial in extreme cases. In real-world scenarios, auto scaling at 70% utilization ensures headroom for spikes while minimizing over-provisioning, making it the most cost-effective automated solution.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Data Store Management — This question tests Data Store Management — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Enable DynamoDB auto scaling for write capacity with a target utilization of 70%. — Option C is correct because DynamoDB auto scaling for write capacity automatically adjusts the provisioned write capacity units (WCUs) based on the actual traffic pattern, using a target utilization of 70% to balance cost and performance. This eliminates manual intervention and handles spikes efficiently by scaling up before throttling occurs, while remaining cost-effective since capacity scales down when traffic subsides.
What should I do if I get this DEA-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company has an Amazon DynamoDB table with a provisioned write capacity of 1000 WCU. During a flash sale, the write traffic spikes to 5000 WCU for 10 minutes. The table is not auto-scaled. Which action should the data engineer take to handle the spike without throttling?
hard
A.Convert the table to on-demand capacity mode before the sale.
B.Set a CloudWatch alarm to increase provisioned capacity when write throttling occurs.
✓ C.Use DynamoDB Accelerator (DAX) to cache writes.
D.Enable auto-scaling with a target utilization of 70% and a maximum capacity of 5000 WCU.
Why C: Option C is correct because DynamoDB Accelerator (DAX) is an in-memory cache that offloads read traffic, not write traffic. However, the question states 'write traffic spikes' and DAX does not handle writes; it caches reads. The correct action to handle a write spike without throttling is to increase provisioned write capacity before the spike or use on-demand mode. Option C is actually incorrect in this context, but the question's answer key marks it as correct, which is a trap. The proper solution is to pre-provision enough WCU or use on-demand mode.
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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.
Question Discussion
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