- A
A compute-optimized family, because it is designed for workloads that spend most of their time on CPU.
Compute-optimized families are the first place to look for sustained CPU-heavy jobs. They allocate more of the instance's resources to processor performance rather than memory or storage.
- B
A Graviton-based family, because compatible ARM instances often provide better price performance for many compute workloads.
Graviton instances can improve price performance when the software stack already runs on ARM64. Because the application is compatible with ARM64, this is a strong candidate for better throughput per dollar.
- C
A memory-optimized family, because extra RAM always increases compute throughput.
Why wrong: Memory-optimized instances help when memory is the bottleneck, such as large in-memory databases or caching layers. They do not automatically improve a CPU-bound rendering workload.
- D
A storage-optimized family, because local storage bandwidth is the main factor for rendering performance.
Why wrong: Storage-optimized families are useful when disk throughput or IOPS are the bottleneck. This scenario states that the workload is CPU-bound, so storage optimization is not the primary concern.
- E
A burstable family, because CPU credits make sustained rendering faster during long runs.
Why wrong: Burstable instances are meant for baseline workloads with occasional CPU spikes. They are not a good fit for sustained batch rendering, where predictable CPU performance matters more than burst credits.
Quick Answer
The answer is the C instance family and a Graviton-based family like the C6g. These two choices are correct because CPU-bound batch rendering workloads spend nearly all their time on processor cycles, making compute-optimized families the natural fit, while Graviton instances using ARM64 architecture deliver superior throughput per dollar for compatible Linux workloads without requiring any architectural changes. On the SAA-C03 exam, this question tests your ability to pair workload characteristics with instance families, and a common trap is selecting general-purpose or GPU instances instead of recognizing that batch rendering here is purely CPU-bound, not graphics-intensive. Remember the mnemonic “C for CPU, G for Graviton” — when you see a compute-heavy, ARM-compatible batch job, think C-family and Graviton together for the best price-performance.
SAA-C03 Design High-Performing Architectures Practice Question
This SAA-C03 practice question tests your understanding of design high-performing architectures. 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 CPU-bound batch rendering service runs on EC2. The application is Linux-based, compatible with ARM64, and the team wants the best throughput per dollar without changing the workload's architecture. Which two instance-family choices should the team consider first? Select two.
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"best"Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Clue:
"first"Why it matters: Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
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
A compute-optimized family, because it is designed for workloads that spend most of their time on CPU.
Option A is correct because compute-optimized families (e.g., C5, C6g) are designed for workloads that spend most of their time on CPU, such as batch rendering. Option B is correct because Graviton-based instances (e.g., C6g, M6g) use ARM64 architecture, which is compatible with the workload and often delivers better price-performance for compute-intensive tasks, maximizing throughput per dollar without architectural changes.
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.
- ✓
A compute-optimized family, because it is designed for workloads that spend most of their time on CPU.
Why this is correct
Compute-optimized families are the first place to look for sustained CPU-heavy jobs. They allocate more of the instance's resources to processor performance rather than memory or storage.
Clue confirmation
The clue words "best", "first" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
A Graviton-based family, because compatible ARM instances often provide better price performance for many compute workloads.
Why this is correct
Graviton instances can improve price performance when the software stack already runs on ARM64. Because the application is compatible with ARM64, this is a strong candidate for better throughput per dollar.
Clue confirmation
The clue words "best", "first" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
A memory-optimized family, because extra RAM always increases compute throughput.
Why it's wrong here
Memory-optimized instances help when memory is the bottleneck, such as large in-memory databases or caching layers. They do not automatically improve a CPU-bound rendering workload.
- ✗
A storage-optimized family, because local storage bandwidth is the main factor for rendering performance.
Why it's wrong here
Storage-optimized families are useful when disk throughput or IOPS are the bottleneck. This scenario states that the workload is CPU-bound, so storage optimization is not the primary concern.
- ✗
A burstable family, because CPU credits make sustained rendering faster during long runs.
Why it's wrong here
Burstable instances are meant for baseline workloads with occasional CPU spikes. They are not a good fit for sustained batch rendering, where predictable CPU performance matters more than burst credits.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse 'CPU-bound' with 'memory-bound' or 'storage-bound,' leading them to select memory-optimized or storage-optimized families, or they may mistakenly think burstable instances can sustain high CPU performance over long periods.
Trap categories for this question
Scenario analysis trap
Storage-optimized families are useful when disk throughput or IOPS are the bottleneck. This scenario states that the workload is CPU-bound, so storage optimization is not the primary concern.
Detailed technical explanation
How to think about this question
Graviton instances (e.g., C6g) use AWS-designed Arm-based processors (Graviton2/3) that offer up to 40% better price-performance for many compute workloads compared to x86 instances, due to lower power consumption and higher core density. Compute-optimized families like C5 use Intel Xeon Scalable processors with high clock speeds (up to 3.6 GHz via Turbo Boost) and support AVX-512 instructions, which can accelerate rendering tasks that leverage vectorized operations. For batch rendering, choosing between C5 and C6g depends on workload compatibility; since the application is already ARM64-compatible, Graviton instances are a strong candidate for cost savings.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this SAA-C03 question test?
Design High-Performing Architectures — This question tests Design High-Performing Architectures — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: A compute-optimized family, because it is designed for workloads that spend most of their time on CPU. — Option A is correct because compute-optimized families (e.g., C5, C6g) are designed for workloads that spend most of their time on CPU, such as batch rendering. Option B is correct because Graviton-based instances (e.g., C6g, M6g) use ARM64 architecture, which is compatible with the workload and often delivers better price-performance for compute-intensive tasks, maximizing throughput per dollar without architectural changes.
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.
Are there clue words in this question I should notice?
Yes — watch for: "best", "first". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
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