- A
Use DynamoDB Accelerator (DAX) to cache writes.
Why wrong: DAX caches reads, not writes.
- B
Use provisioned capacity with auto-scaling set to a maximum of 10,000 WCU.
Why wrong: Auto-scaling may not react fast enough for sudden spikes.
- C
Use an Amazon Lambda function to buffer writes and batch them to DynamoDB.
Why wrong: Lambda can buffer, but may still throttle if write capacity is exceeded.
- D
Use DynamoDB on-demand capacity mode.
On-demand scales instantly and is cost-effective for unpredictable workloads.
Quick Answer
The answer is DynamoDB on-demand capacity mode, as it automatically handles write spikes without throttling by scaling instantly to accommodate any traffic surge. This is the most cost-effective choice for unpredictable workloads like a real-time analytics dashboard because you pay only per write request, eliminating the need to over-provision read and write capacity units. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding of when to choose on-demand versus provisioned capacity—a common trap is selecting provisioned capacity with auto-scaling, which still requires planning and can lag behind sudden spikes, leading to throttling. Remember that on-demand is ideal for variable or unknown traffic patterns, while provisioned suits steady, predictable loads. Memory tip: think "on-demand for on-the-fly spikes" to recall that it scales without prior configuration.
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 is building a real-time analytics dashboard using Amazon Kinesis Data Streams and Amazon DynamoDB. The data engineer needs to ensure that the DynamoDB table can handle write spikes without throttling. Which approach is the most cost-effective?
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
Use DynamoDB on-demand capacity mode.
DynamoDB on-demand capacity mode automatically scales to handle write spikes without requiring capacity planning or management, making it the most cost-effective choice for unpredictable workloads like a real-time analytics dashboard. It charges per request, so you only pay for the writes you actually use, avoiding over-provisioning costs.
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 DynamoDB Accelerator (DAX) to cache writes.
Why it's wrong here
DAX caches reads, not writes.
- ✗
Use provisioned capacity with auto-scaling set to a maximum of 10,000 WCU.
Why it's wrong here
Auto-scaling may not react fast enough for sudden spikes.
- ✗
Use an Amazon Lambda function to buffer writes and batch them to DynamoDB.
Why it's wrong here
Lambda can buffer, but may still throttle if write capacity is exceeded.
- ✓
Use DynamoDB on-demand capacity mode.
Why this is correct
On-demand scales instantly and is cost-effective for unpredictable workloads.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse DAX's read caching with write handling, or assume that auto-scaling provisioned capacity can handle sudden spikes instantly, when in reality it scales gradually and can still throttle during rapid bursts.
Detailed technical explanation
How to think about this question
On-demand mode uses a built-in adaptive capacity mechanism that instantly accommodates traffic spikes up to the table's previous peak, but it can also handle sudden bursts beyond that without throttling, though at a higher per-request cost. This mode is ideal for workloads with unpredictable traffic patterns, as it eliminates the need to estimate WCU requirements and avoids the scaling lag inherent in auto-scaling provisioned capacity.
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.
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FAQ
Questions learners often ask
What does this DEA-C01 question test?
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: Use DynamoDB on-demand capacity mode. — DynamoDB on-demand capacity mode automatically scales to handle write spikes without requiring capacity planning or management, making it the most cost-effective choice for unpredictable workloads like a real-time analytics dashboard. It charges per request, so you only pay for the writes you actually use, avoiding over-provisioning costs.
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.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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.
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