PAS-C01 Design of SAP Workloads on AWS Practice Question
This PAS-C01 practice question tests your understanding of design of sap workloads on aws. Examine the command output carefully: the correct answer depends on what the output actually shows, not on general recall alone. 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 company runs SAP Business Suite on an SAP HANA database on AWS. The database uses EBS gp2 volumes. The operations team notices high latency during peak hours. The metrics show that the volume queue depth is consistently above the recommended threshold. What is the MOST cost-effective change to reduce latency?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Increase the size of the existing EBS gp2 volume to a larger size.
Increasing the size of an existing gp2 volume is the most cost-effective solution because gp2 volumes have a baseline performance of 3 IOPS per GB, and they can burst up to 3,000 IOPS for volumes up to 1,000 GB. By increasing the volume size, you raise the baseline IOPS, which reduces the queue depth without incurring the higher per-GB cost of io1 or io2 volumes. This directly addresses the high latency caused by queue depth exceeding the recommended threshold during peak hours.
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.
✗
Migrate from gp2 to io2 EBS volumes with the same size.
Why it's wrong here
io2 is more expensive per GB; gp2 size increase is more cost-effective.
✗
Modify the volume to use Provisioned IOPS (io1) with a higher IOPS value.
Why it's wrong here
Provisioned IOPS incurs additional cost; increasing gp2 size is cheaper.
✗
Add an additional EBS volume and stripe the volumes using LVM.
Why it's wrong here
Striping adds complexity and cost; increasing volume size is simpler and cheaper.
✓
Increase the size of the existing EBS gp2 volume to a larger size.
Why this is correct
Larger gp2 volumes have higher baseline IOPS, reducing queue depth.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume Provisioned IOPS (io1/io2) is always the solution for high latency, but they overlook the cost-effective burst capability of gp2 volumes when increased in size.
Detailed technical explanation
How to think about this question
EBS gp2 volumes use a credit-based burst model where each volume earns I/O credits at a rate of 3 IOPS per GB (baseline) and can burst up to 3,000 IOPS for volumes under 1,000 GB. When queue depth exceeds the recommended threshold (typically >1 for single-volume workloads), it indicates that the volume's IOPS are saturated, causing latency. Increasing the volume size raises the baseline IOPS, which reduces the need to rely on burst credits and can sustain higher throughput without hitting the burst ceiling. In real-world SAP HANA scenarios, where peak loads are predictable, this approach avoids the cost of provisioned IOPS volumes while still meeting performance requirements.
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 of SAP Workloads on AWS — This question tests Design of SAP Workloads on AWS — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Increase the size of the existing EBS gp2 volume to a larger size. — Increasing the size of an existing gp2 volume is the most cost-effective solution because gp2 volumes have a baseline performance of 3 IOPS per GB, and they can burst up to 3,000 IOPS for volumes up to 1,000 GB. By increasing the volume size, you raise the baseline IOPS, which reduces the queue depth without incurring the higher per-GB cost of io1 or io2 volumes. This directly addresses the high latency caused by queue depth exceeding the recommended threshold during peak hours.
What should I do if I get this PAS-C01 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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Question Discussion
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