The answer is that auto scaling cannot react quickly enough to sudden traffic spikes. DynamoDB auto scaling adjusts provisioned capacity based on average utilization over a window of several minutes, typically 5 to 10 minutes, so when a marketing campaign causes a sharp, immediate write spike, the current capacity is overwhelmed before the scaling policy can raise the limit. This delay leads to ProvisionedThroughputExceededException errors even when the maximum capacity is set high enough and the target utilization is 70%. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding that auto scaling is reactive, not predictive, and a common trap is assuming that a high maximum capacity alone prevents throttling. To handle such bursts, you must implement DynamoDB adaptive capacity or use on-demand mode. Memory tip: think of auto scaling as a slow thermostat—it adjusts to the room’s average temperature over time, not to a sudden blast of heat.
DEA-C01 Data Store Management Practice Question
This DEA-C01 practice question tests your understanding of data store management. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 is using Amazon DynamoDB with auto scaling enabled. During a marketing campaign, write traffic spikes, and some write requests fail with ProvisionedThroughputExceededException. The auto scaling policy has a target utilization of 70% and a maximum capacity that is high enough. What is the most likely cause of the throttling?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "most likely"
Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Auto scaling cannot react quickly enough to sudden traffic spikes.
Auto scaling in DynamoDB adjusts capacity based on the average utilization over a period (typically 5-10 minutes). When a sudden traffic spike occurs, the write requests can exceed the current provisioned capacity before the auto scaling policy has time to react and increase the capacity. This delay causes ProvisionedThroughputExceededException errors, even though the maximum capacity is set high enough.
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.
✗
The table has a global secondary index that is throttling.
Why it's wrong here
No mention of GSI, and the error is on the table.
✓
Auto scaling cannot react quickly enough to sudden traffic spikes.
Why this is correct
Auto scaling has a lag, so sudden spikes can cause throttling.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
The table does not have enough maximum capacity.
Why it's wrong here
Maximum capacity is high enough.
✗
The auto scaling policy is not configured correctly.
Why it's wrong here
Auto scaling is enabled and configured.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates assume a correctly configured auto scaling policy with sufficient maximum capacity will always prevent throttling, ignoring the inherent latency in auto scaling's reaction to sudden, short-lived traffic spikes.
Detailed technical explanation
How to think about this question
DynamoDB auto scaling uses the Application Auto Scaling service, which monitors CloudWatch metrics (like ConsumedWriteCapacityUnits) over a window of several minutes. It applies a cooldown period (default 5 minutes) between scaling activities to avoid thrashing. This means that a spike lasting only a few seconds or minutes will not trigger a scale-up in time, leading to throttling. In practice, you can mitigate this by using DynamoDB Accelerator (DAX) for reads or by pre-warming the table with a higher initial capacity before a known traffic event.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
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: Auto scaling cannot react quickly enough to sudden traffic spikes. — Auto scaling in DynamoDB adjusts capacity based on the average utilization over a period (typically 5-10 minutes). When a sudden traffic spike occurs, the write requests can exceed the current provisioned capacity before the auto scaling policy has time to react and increase the capacity. This delay causes ProvisionedThroughputExceededException errors, even though the maximum capacity is set high enough.
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: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
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
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.