The correct answer is to contact AWS Support to pre-warm the DynamoDB table for higher throughput. This is necessary because DynamoDB on-demand capacity automatically scales based on traffic patterns, but it has a warm-up limit tied to the table’s previous peak usage—in this case, 30,000 WCU. When the application suddenly spikes to 50,000 WCU, the table cannot immediately scale beyond that prior peak, causing throttling errors. Pre-warming explicitly requests AWS to raise the table’s initial throughput ceiling, allowing it to handle the higher write load without delay. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding that on-demand is not infinitely elastic; it relies on historical traffic to set its scaling floor. A common trap is assuming you can adjust a provisioned setting or add partitions, but on-demand tables lack those knobs, and DAX only accelerates reads. Memory tip: think of on-demand as a “memory-based” scaling—it remembers your past peak, so for a sudden new high, you must ask AWS to “warm up” its memory.
DEA-C01 Data Operations and Support Practice Question
This DEA-C01 practice question tests your understanding of data operations and support. 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 a DynamoDB table with on-demand capacity for a gaming application. During a new game launch, the table experienced throttling errors. The engineer checks CloudWatch metrics and sees that the 'ConsumedWriteCapacityUnits' exceeded the 'ProvisionedWriteCapacityUnits' (on-demand uses the table's previous peak). The application is writing at 50,000 WCU but the table's peak was 30,000 WCU. What should the engineer do to resolve throttling?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Contact AWS Support to pre-warm the table for higher throughput.
Option B is correct because on-demand capacity automatically scales based on traffic, but it has a warm-up limit. Pre-warming the table increases the initial throughput limit. Option A is wrong because on-demand does not have a provisioned setting. Option C is wrong because increasing partition count does not directly increase throughput limit. Option D is wrong because DAX improves read performance, not write throughput.
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.
✗
Add a DynamoDB Accelerator (DAX) cluster in front of the table.
Why it's wrong here
DAX caches reads, not writes; it does not help with write throttling.
✗
Increase the number of partitions by splitting the partition key.
Why it's wrong here
Partition count is determined by throughput and storage; splitting does not immediately raise throughput limit.
✓
Contact AWS Support to pre-warm the table for higher throughput.
Why this is correct
Pre-warming increases the table's initial throughput limit to handle spikes.
Related concept
Read the scenario before looking for a memorised answer.
✗
Switch the table to provisioned capacity and set WCU to 50,000.
Why it's wrong here
Provisioned capacity requires capacity planning and may not auto-scale; on-demand is suitable for variable traffic.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Got this wrong? Here's your next step.
Identify which DEA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Data Operations and Support — This question tests Data Operations and Support — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Contact AWS Support to pre-warm the table for higher throughput. — Option B is correct because on-demand capacity automatically scales based on traffic, but it has a warm-up limit. Pre-warming the table increases the initial throughput limit. Option A is wrong because on-demand does not have a provisioned setting. Option C is wrong because increasing partition count does not directly increase throughput limit. Option D is wrong because DAX improves read performance, not write throughput.
What should I do if I get this DEA-C01 question wrong?
Identify which DEA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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