- A
Evaluate a smaller EC2 instance type (via the Auto Scaling launch template/configuration) for the group and validate performance metrics after the change.
If utilization is consistently low and performance is stable, the current instances are likely overprovisioned. Moving to a smaller instance type directly reduces compute cost while preserving capacity for normal load.
- B
Increase desired capacity to 2x so utilization increases and instances become “more efficient.”
Why wrong: Doubling desired capacity increases the number of running instances and therefore increases cost. The observed low CPU utilization indicates the opposite direction (reducing capacity/infrastructure).
- C
Disable Auto Scaling so the group never scales down to preserve baseline performance.
Why wrong: Disabling Auto Scaling removes the ability to scale down during low-demand periods, which typically increases cost. It also reduces resilience to demand changes.
- D
Switch the workload to Spot instances immediately to avoid On-Demand charges, regardless of interruption risk.
Why wrong: Spot can reduce cost, but the scenario provides no evidence that the application can tolerate interruptions or forced termination. Right sizing should be done based on observed utilization and workload tolerance.
Quick Answer
The answer is to evaluate a smaller EC2 instance type for the Auto Scaling group. This is correct because the application is clearly over-provisioned—with CPU utilization averaging only 8%, no memory pressure, and stable response times, the current instance size is wasting compute capacity and driving unnecessary cost. By selecting a smaller instance type in the launch template or configuration, you directly lower the monthly cost without altering the application code or architecture, as the group will automatically adjust to the new instance size. On the SAA-C03 exam, this scenario tests your understanding of rightsizing as a core cost optimization strategy, often appearing alongside questions about Reserved Instances or Savings Plans; a common trap is jumping to scale-in policies or Spot Instances when the simpler fix is a smaller instance. Remember the memory tip: “Low CPU, no stress? Downsize to impress.”
SAA-C03 Design Cost-Optimized Architectures Practice Question
This SAA-C03 practice question tests your understanding of design cost-optimized architectures. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.
An application runs on an EC2 Auto Scaling group. Over the last month, CPU utilization averaged 8% with no sustained memory pressure, and response times are stable. The team wants to lower monthly cost without changing the application. What is the most appropriate next step for cost optimization?
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
Evaluate a smaller EC2 instance type (via the Auto Scaling launch template/configuration) for the group and validate performance metrics after the change.
Option A is correct because the application is over-provisioned: CPU utilization averages only 8% with no memory pressure and stable response times. By selecting a smaller EC2 instance type in the Auto Scaling launch template or configuration, you directly reduce the per-instance cost while maintaining adequate performance. This is the most straightforward cost optimization step without modifying the application code or architecture.
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.
- ✓
Evaluate a smaller EC2 instance type (via the Auto Scaling launch template/configuration) for the group and validate performance metrics after the change.
Why this is correct
If utilization is consistently low and performance is stable, the current instances are likely overprovisioned. Moving to a smaller instance type directly reduces compute cost while preserving capacity for normal load.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Increase desired capacity to 2x so utilization increases and instances become “more efficient.”
Why it's wrong here
Doubling desired capacity increases the number of running instances and therefore increases cost. The observed low CPU utilization indicates the opposite direction (reducing capacity/infrastructure).
- ✗
Disable Auto Scaling so the group never scales down to preserve baseline performance.
Why it's wrong here
Disabling Auto Scaling removes the ability to scale down during low-demand periods, which typically increases cost. It also reduces resilience to demand changes.
- ✗
Switch the workload to Spot instances immediately to avoid On-Demand charges, regardless of interruption risk.
Why it's wrong here
Spot can reduce cost, but the scenario provides no evidence that the application can tolerate interruptions or forced termination. Right sizing should be done based on observed utilization and workload tolerance.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may think increasing capacity (Option B) improves efficiency, but in reality, adding more instances to an already underutilized workload only increases cost without any performance benefit.
Trap categories for this question
Scenario analysis trap
Spot can reduce cost, but the scenario provides no evidence that the application can tolerate interruptions or forced termination. Right sizing should be done based on observed utilization and workload tolerance.
Detailed technical explanation
How to think about this question
Under the hood, Auto Scaling groups use launch templates or configurations to define instance types; changing to a smaller type (e.g., from t3.medium to t3.small) reduces the number of vCPUs and memory, directly lowering the hourly On-Demand rate. In a real-world scenario, if the application is CPU-bound but consistently underutilized, rightsizing can yield 30-50% savings, but you must validate metrics like CPU, memory, and network throughput post-change to avoid performance degradation. AWS Compute Optimizer can also provide rightsizing recommendations based on historical CloudWatch metrics.
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
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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 — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Evaluate a smaller EC2 instance type (via the Auto Scaling launch template/configuration) for the group and validate performance metrics after the change. — Option A is correct because the application is over-provisioned: CPU utilization averages only 8% with no memory pressure and stable response times. By selecting a smaller EC2 instance type in the Auto Scaling launch template or configuration, you directly reduce the per-instance cost while maintaining adequate performance. This is the most straightforward cost optimization step without modifying the application code or architecture.
What should I do if I get this SAA-C03 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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Same concept, more angles
1 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. An application team sees that a fleet of EC2 instances averages 15% CPU utilization and has no memory pressure. The service must keep running continuously, but the team wants to lower cost with minimal risk. Which two actions should they take first? Select two.
medium- ✓ A.Use Compute Optimizer recommendations to identify a smaller instance type.
- ✓ B.Update the launch template or Auto Scaling group to the smaller instance type after testing.
- C.Move the workload to Dedicated Hosts.
- D.Add a second NAT Gateway.
- E.Enable Provisioned Concurrency for the EC2 workload.
Why A: AWS Compute Optimizer analyzes historical utilization metrics (CPU, memory, network) and provides rightsizing recommendations. Since the fleet averages only 15% CPU with no memory pressure, downsizing to a smaller instance type reduces cost without impacting performance. This is the first step to identify the optimal instance family and size.
Last reviewed: Jun 11, 2026
This SAA-C03 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 SAA-C03 exam.
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