The answer is to evaluate AWS Graviton-based instances after performance testing. This is correct because Graviton instances, powered by custom Arm-based AWS silicon like the M6g and C6g, deliver up to 40% better price-performance for many workloads compared to comparable x86 instances, and since the test environment uses open-source software with no architecture-specific licensing restrictions, there is no cost penalty for switching architectures. On the SAA-C03 exam, this scenario tests your understanding of cost optimization through instance family selection, often appearing as a trap where candidates mistakenly choose reserved instances or spot instances without considering the underlying architecture. A common memory tip is to remember that Graviton is ideal for open-source, stateless, or containerized workloads where performance testing confirms compatibility, while x86 remains necessary for legacy or proprietary software. Think of it as “Graviton for greenfield, x86 for legacy” to quickly recall when to recommend the Arm-based shift.
SAA-C03 Design Cost-Optimized Architectures Practice Question
This SAA-C03 practice question tests your understanding of design cost-optimized architectures. 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 test environment runs on x86 EC2 instances and uses open-source software with no architecture-specific licensing restriction. What should be evaluated to reduce compute cost?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
AWS Graviton-based instances after performance testing
AWS Graviton-based instances (e.g., M6g, C6g) use Arm-based custom AWS silicon, offering up to 40% better price-performance compared to comparable x86 instances for many workloads. Since the test environment runs open-source software with no architecture-specific licensing restrictions, migrating to Graviton after performance testing can significantly reduce compute costs without compatibility issues.
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.
✗
Cross-Region data replication for all data
Why it's wrong here
Replication improves resilience but adds transfer and storage cost.
✓
AWS Graviton-based instances after performance testing
Why this is correct
Graviton instances often provide better price performance for compatible workloads.
Related concept
Read the scenario before looking for a memorised answer.
✗
io2 Block Express volumes for all instances
Why it's wrong here
High-end block storage increases cost unless required by performance needs.
✗
Dedicated Hosts by default
Why it's wrong here
Dedicated Hosts are usually chosen for licensing or isolation, not basic cost reduction.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may assume all cost optimization involves reducing instance size or using Spot Instances, but the question specifically tests knowledge of architecture-specific cost savings with Graviton when no licensing restrictions exist.
Detailed technical explanation
How to think about this question
Graviton processors are based on 64-bit Arm Neoverse cores and use a custom AWS Nitro system for virtualization, reducing overhead and improving performance per watt. In practice, many open-source applications (e.g., NGINX, Redis, MySQL) have been compiled for Arm64 and show equivalent or better throughput, but performance testing is critical because some libraries or dependencies may still have x86-specific optimizations or require recompilation. A real-world scenario is a CI/CD pipeline running on Graviton instances that cuts compute costs by 30% while maintaining identical build times.
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.
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: AWS Graviton-based instances after performance testing — AWS Graviton-based instances (e.g., M6g, C6g) use Arm-based custom AWS silicon, offering up to 40% better price-performance compared to comparable x86 instances for many workloads. Since the test environment runs open-source software with no architecture-specific licensing restrictions, migrating to Graviton after performance testing can significantly reduce compute costs without compatibility issues.
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.
About these practice questions
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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 test environment runs on x86 EC2 instances and uses open-source software with no architecture-specific licensing restriction. What should be evaluated to reduce compute cost? The design must avoid adding custom operational scripts.
medium
A.Cross-Region data replication for all data
✓ B.AWS Graviton-based instances after performance testing
C.io2 Block Express volumes for all instances
D.Dedicated Hosts by default
Why B: Option B is correct because AWS Graviton-based instances (ARM architecture) offer up to 40% better price-performance compared to x86 instances for many workloads. Since the environment uses open-source software with no architecture-specific licensing restrictions, migrating to Graviton after performance testing can significantly reduce compute costs without requiring custom operational scripts, as AWS provides native support for ARM-based instances.
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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.
Question Discussion
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