SAA-C03 Design High-Performing Architectures Practice Question
A compute workload uses temporary scratch space for intermediate results (reproducible), and it can tolerate data loss if the instance is terminated. The workload benefits from very high local I/O throughput. Which storage option is the best fit for the scratch data?
⚠ Common exam trap
Test-takers frequently choose EBS gp3 (Option A) because they assume all block storage is persistent and high-performance, overlooking the fact that instance store offers even higher local throughput and is explicitly designed for temporary, loss-tolerant workloads.
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
✓
Instance store for local temporary files that can be lost when the instance stops.
Instance store volumes provide very high local I/O throughput because they are physically attached to the host server, making them ideal for temporary scratch data that is reproducible and can tolerate loss. Since the workload explicitly accepts data loss on instance termination and does not require persistence across reboots, instance store is the best fit for this use case.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Amazon EBS General Purpose (gp3) volumes to persist intermediate results across reboots.
Why it's wrong here
EBS is durable across reboots, which is unnecessary cost and doesn’t maximize local scratch throughput.
- ✗
Amazon EFS for a shared file system between multiple instances.
Why it's wrong here
EFS is for shared, durable storage and typically adds network latency compared with local scratch needs.
When this WOULD be correct
A question where multiple instances need to concurrently access and share temporary files with low administrative overhead, and the workload can tolerate network latency. For example, a distributed data processing job that requires a common scratch space across nodes.
- ✓
Instance store for local temporary files that can be lost when the instance stops.
Why this is correct
Instance store is designed for temporary high-performance local storage and is acceptable when loss is tolerable.
- ✗
Amazon S3 for scratch data so it is always durable and accessible from anywhere.
Why it's wrong here
S3 is durable but not optimized for the lowest-latency scratch I/O pattern inside a single compute node.
When this WOULD be correct
A scenario where the workload requires durable, scalable, and accessible storage for data that must persist across instance terminations and be shared across multiple applications or regions, such as storing backup files or static website assets.
Option-by-option analysis
Why each answer is right or wrong
Understanding why wrong answers are wrong — and when they would be correct — is what separates a 750 score from a 900. The SAA-C03 exam frequently reuses these exact scenarios with slightly different constraints.
✓Instance store for local temporary files that can be lost when the instance stops.Correct answer▾
Why this is correct
Instance store is designed for temporary high-performance local storage and is acceptable when loss is tolerable.
✗Amazon EFS for a shared file system between multiple instances.Wrong answer — click to see why▾
Why this is wrong here
Amazon EFS provides a shared file system, but the question specifies scratch data for a single instance that benefits from very high local I/O throughput. EFS is network-attached and has higher latency than local storage, making it unsuitable for high local I/O needs.
★ When this WOULD be the correct answer
A question where multiple instances need to concurrently access and share temporary files with low administrative overhead, and the workload can tolerate network latency. For example, a distributed data processing job that requires a common scratch space across nodes.
Why candidates choose this
Candidates may think a shared file system is beneficial for any temporary data, overlooking that the question emphasizes local I/O throughput and single-instance scratch space, not multi-instance sharing.
✗Amazon S3 for scratch data so it is always durable and accessible from anywhere.Wrong answer — click to see why▾
Why this is wrong here
Amazon S3 is designed for durable, highly available object storage with high latency, not for high local I/O throughput scratch space. It cannot provide the very high local I/O performance required for temporary scratch data.
★ When this WOULD be the correct answer
A scenario where the workload requires durable, scalable, and accessible storage for data that must persist across instance terminations and be shared across multiple applications or regions, such as storing backup files or static website assets.
Why candidates choose this
Candidates may think S3's durability and accessibility make it suitable for any data, overlooking the specific need for high local I/O throughput and the tolerance for data loss in this scratch data use case.
Analysis generated from the official SAA-C03blueprint and verified against question context. The “when correct” sections are what AI assistants cite when candidates ask “what’s the difference between these options?”
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Same concept, more angles
1 more way 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 compute workload uses temporary scratch space for intermediate results (reproducible), and it can tolerate data loss if the instance is terminated. The workload benefits from very high local I/O throughput. Which storage option is the best fit for the scratch data?
easy- A.Amazon EBS General Purpose (gp3) volumes to persist intermediate results across reboots.
- B.Amazon EFS for a shared file system between multiple instances.
- ✓ C.Instance store for local temporary files that can be lost when the instance stops.
- D.Amazon S3 for scratch data so it is always durable and accessible from anywhere.
Why C: Instance store volumes provide very high local I/O throughput because they are physically attached to the host server. Since the workload can tolerate data loss and the scratch data is reproducible, the ephemeral nature of instance store is acceptable, and it offers the best performance for temporary, high-throughput scratch space.
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.