- A
Reserved capacity for maximum daily traffic
Why wrong: Reserved capacity works best for predictable steady usage.
- B
Provisioned capacity set for peak traffic
Why wrong: Provisioning for peak traffic wastes cost during idle periods.
- C
DynamoDB on-demand capacity mode
On-demand capacity is suitable for unpredictable workloads and charges per request without capacity planning.
- D
Global tables in every Region
Why wrong: Global tables add replication cost and do not solve idle-capacity waste.
Quick Answer
The answer is DynamoDB on-demand capacity mode. This is the correct choice for unpredictable workloads with long idle periods and occasional spikes because it automatically scales instantly to handle any traffic level, eliminating the need to provision or manage read/write capacity units. You pay only for the actual reads and writes performed, which avoids the cost of idle provisioned capacity and removes the operational overhead of custom scaling scripts or alarms. On the SAA-C03 exam, this scenario tests your understanding of when to choose on-demand over provisioned capacity, with the common trap being selecting provisioned with auto-scaling—but auto-scaling still requires you to set a minimum capacity, which incurs cost during idle periods. Remember the memory tip: if the workload is a “ghost town with flash mobs,” choose on-demand.
SAA-C03 Design Cost-Optimized Architectures Practice Question
This SAA-C03 practice question tests your understanding of design cost-optimized architectures. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. A key principle to apply: dynamoDB On-Demand charges per request for reads and writes.. 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 dev sandbox has unpredictable DynamoDB traffic with long idle periods and occasional spikes. Which capacity mode should minimize operational overhead and avoid paying for idle provisioned capacity? The design must avoid adding custom operational scripts.
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 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
DynamoDB on-demand capacity mode
DynamoDB on-demand capacity mode is ideal for unpredictable workloads with long idle periods and occasional spikes because it automatically scales to handle traffic without requiring any capacity planning or provisioning. You pay only for the reads and writes you actually perform, eliminating the cost of idle provisioned capacity and the operational overhead of managing scaling scripts or alarms.
Key principle: DynamoDB On-Demand charges per request for reads and writes.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Reserved capacity for maximum daily traffic
Why it's wrong here
Reserved capacity works best for predictable steady usage.
- ✗
Provisioned capacity set for peak traffic
Why it's wrong here
Provisioning for peak traffic wastes cost during idle periods.
- ✓
DynamoDB on-demand capacity mode
Why this is correct
On-demand capacity is suitable for unpredictable workloads and charges per request without capacity planning.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
DynamoDB On-Demand charges per request for reads and writes.
- ✗
Global tables in every Region
Why it's wrong here
Global tables add replication cost and do not solve idle-capacity waste.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse 'reserved capacity' with DynamoDB's reserved capacity pricing model (which is actually a commitment discount for provisioned mode) or assume that provisioned capacity with auto-scaling is sufficient, but auto-scaling still requires setting minimum and maximum values and can incur costs for idle provisioned capacity during low-traffic periods.
Detailed technical explanation
How to think about this question
DynamoDB on-demand mode uses a per-request pricing model with a baseline throughput that can burst to handle spikes up to the previous peak within 30 minutes, making it suitable for workloads with sudden, unpredictable traffic. Under the hood, it leverages a shared capacity pool and auto-scaling at the storage node level, but it does not require any configuration of read/write capacity units (RCUs/WCUs) or auto-scaling policies. A real-world scenario is a development sandbox where developers run ad-hoc queries or load tests; on-demand avoids the need to monitor and adjust provisioned capacity, reducing both cost and operational burden.
KKey Concepts to Remember
- DynamoDB On-Demand charges per request for reads and writes.
- On-Demand automatically scales capacity without manual intervention.
- It is ideal for unpredictable workloads with unknown traffic patterns.
- No capacity planning or provisioning of RCUs/WCUs is required.
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
DynamoDB On-Demand charges per request for reads and writes.
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.
Review dynamoDB On-Demand charges per request for reads and writes., then practise related SAA-C03 questions on the same topic to reinforce the concept.
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FAQ
Questions learners often ask
What does this SAA-C03 question test?
Design Cost-Optimized Architectures — This question tests Design Cost-Optimized Architectures — DynamoDB On-Demand charges per request for reads and writes..
What is the correct answer to this question?
The correct answer is: DynamoDB on-demand capacity mode — DynamoDB on-demand capacity mode is ideal for unpredictable workloads with long idle periods and occasional spikes because it automatically scales to handle traffic without requiring any capacity planning or provisioning. You pay only for the reads and writes you actually perform, eliminating the cost of idle provisioned capacity and the operational overhead of managing scaling scripts or alarms.
What should I do if I get this SAA-C03 question wrong?
Review dynamoDB On-Demand charges per request for reads and writes., then practise related SAA-C03 questions on the same topic to reinforce the concept.
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?
DynamoDB On-Demand charges per request for reads and writes.
About these practice questions
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Same concept, more angles
2 more ways this is tested on SAA-C03
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 dev sandbox has unpredictable DynamoDB traffic with long idle periods and occasional spikes. Which capacity mode should minimize operational overhead and avoid paying for idle provisioned capacity?
medium- A.Reserved capacity for maximum daily traffic
- B.Provisioned capacity set for peak traffic
- ✓ C.DynamoDB on-demand capacity mode
- D.Global tables in every Region
Why C: DynamoDB on-demand capacity mode (Option C) is ideal for unpredictable workloads with long idle periods and occasional spikes because it automatically scales to handle traffic without requiring any capacity planning. You pay only for the reads and writes you actually perform, eliminating the cost of idle provisioned capacity and the operational overhead of managing scaling.
Variation 2. A dev sandbox has unpredictable DynamoDB traffic with long idle periods and occasional spikes. Which capacity mode should minimize operational overhead and avoid paying for idle provisioned capacity? The architecture review board prefers a managed AWS-native control.
medium- A.Reserved capacity for maximum daily traffic
- B.Provisioned capacity set for peak traffic
- ✓ C.DynamoDB on-demand capacity mode
- D.Global tables in every Region
Why C: DynamoDB on-demand capacity mode (Option C) is ideal for unpredictable traffic with long idle periods and spikes because it automatically scales to handle workload demands without requiring any capacity planning. You pay only for the reads and writes you perform, eliminating the cost of idle provisioned capacity and the operational overhead of managing scaling thresholds.
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Last reviewed: Jun 11, 2026
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