- A
Compute Savings Plans
Compute Savings Plans discount compute usage while allowing flexibility across instance families, sizes, and even some services.
- B
Reserved Instances with a fixed instance type
Why wrong: Fixed instance-type Reserved Instances can limit flexibility if the team needs to change instance families.
- C
Spot Instances
Why wrong: Spot is interruption-capable and may not be appropriate for always-on production without added complexity.
- D
On-Demand Instances
Why wrong: On-Demand provides maximum flexibility but generally lacks the savings of commitment-based plans.
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: compute Savings Plans offer discounts for a commitment to a consistent amount of compute usage.. 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 startup has a stable production web service that runs continuously (24/7) on AWS. They have consistent compute requirements for the next 1 year, but the instance size and family might change as they optimize performance. To reduce cost while maintaining flexibility across instance types, which purchasing option should they consider?
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
Compute Savings Plans
Compute Savings Plans offer the lowest prices for EC2 compute usage (up to 66% off On-Demand) while allowing flexibility to change instance family, size, OS, and region (within a region). This matches the startup's need for consistent 1-year compute requirements with potential instance type changes during performance optimization.
Key principle: Compute Savings Plans offer discounts for a commitment to a consistent amount of compute usage.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Compute Savings Plans
Why this is correct
Compute Savings Plans discount compute usage while allowing flexibility across instance families, sizes, and even some services.
Related concept
Compute Savings Plans offer discounts for a commitment to a consistent amount of compute usage.
- ✗
Reserved Instances with a fixed instance type
Why it's wrong here
Fixed instance-type Reserved Instances can limit flexibility if the team needs to change instance families.
- ✗
Spot Instances
Why it's wrong here
Spot is interruption-capable and may not be appropriate for always-on production without added complexity.
- ✗
On-Demand Instances
Why it's wrong here
On-Demand provides maximum flexibility but generally lacks the savings of commitment-based plans.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often choose Reserved Instances with a fixed instance type because they see a 1-year commitment, but they overlook the requirement for flexibility across instance types, which only Compute Savings Plans provide.
Detailed technical explanation
How to think about this question
Compute Savings Plans apply to any EC2 instance usage within a chosen region, automatically covering changes in instance family, size, tenancy, and OS. They also cover Fargate and Lambda usage, making them more versatile than Reserved Instances. Under the hood, AWS applies the discounted rate to the first N dollars of compute usage per hour, with any usage above that charged at On-Demand rates.
KKey Concepts to Remember
- Compute Savings Plans offer discounts for a commitment to a consistent amount of compute usage.
- They provide flexibility across EC2 instance family, size, OS, and region.
- Compute Savings Plans also cover AWS Fargate and AWS Lambda usage.
- Commitments are for 1-year or 3-year terms, measured in USD/hour.
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
Compute Savings Plans offer discounts for a commitment to a consistent amount of compute usage.
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 compute Savings Plans offer discounts for a commitment to a consistent amount of compute usage., 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 — Compute Savings Plans offer discounts for a commitment to a consistent amount of compute usage..
What is the correct answer to this question?
The correct answer is: Compute Savings Plans — Compute Savings Plans offer the lowest prices for EC2 compute usage (up to 66% off On-Demand) while allowing flexibility to change instance family, size, OS, and region (within a region). This matches the startup's need for consistent 1-year compute requirements with potential instance type changes during performance optimization.
What should I do if I get this SAA-C03 question wrong?
Review compute Savings Plans offer discounts for a commitment to a consistent amount of compute usage., then practise related SAA-C03 questions on the same topic to reinforce the concept.
What is the key concept behind this question?
Compute Savings Plans offer discounts for a commitment to a consistent amount of compute usage.
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Last reviewed: Jun 11, 2026
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