- A
Add more EBS volumes with higher IOPS to offload CPU.
Why wrong: Storage does not increase CPU capacity.
- B
Launch additional r5.8xlarge instances and configure HANA scale-out.
Why wrong: Scale-out is costlier and complex.
- C
Configure Auto Scaling to add instances during peak load.
Why wrong: Auto Scaling not suitable for HANA database.
- D
Resize the instance to a larger instance type in the r5 family.
Larger instance type provides more CPU cores.
How to Increase CPU Capacity for SAP HANA Without Changing Instance Family
This PAS-C01 practice question tests your understanding of design of sap workloads on aws. 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.
A company is running SAP HANA on AWS. The HANA database is deployed on an r5.8xlarge instance. The company notices high CPU utilization on the instance during peak loads. The SAP team confirms that the HANA workload requires more CPU capacity. What is the most cost-effective way to increase CPU capacity without changing the instance family?
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
Resize the instance to a larger instance type in the r5 family.
Resizing the instance to a larger type within the r5 family (e.g., r5.12xlarge or r5.16xlarge) directly increases vCPU and memory capacity without changing the instance family, which is the most cost-effective approach for a single-node SAP HANA deployment. This avoids the complexity, licensing costs, and network latency of scale-out configurations while meeting the CPU demand.
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.
- ✗
Add more EBS volumes with higher IOPS to offload CPU.
Why it's wrong here
Storage does not increase CPU capacity.
- ✗
Launch additional r5.8xlarge instances and configure HANA scale-out.
Why it's wrong here
Scale-out is costlier and complex.
- ✗
Configure Auto Scaling to add instances during peak load.
Why it's wrong here
Auto Scaling not suitable for HANA database.
- ✓
Resize the instance to a larger instance type in the r5 family.
Why this is correct
Larger instance type provides more CPU cores.
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 may confuse SAP HANA's ability to scale out with the simpler and more cost-effective vertical scaling option, assuming that adding more instances is always the answer for increased CPU demand, when in fact resizing within the same family is the recommended approach for single-node workloads.
Detailed technical explanation
How to think about this question
SAP HANA on AWS is typically deployed as a single-node or scale-out cluster; for CPU-bound workloads, vertical scaling (resizing to a larger instance type) is preferred because it avoids the overhead of network-based data distribution and rebalancing. The r5 family offers instances up to r5.24xlarge with 96 vCPUs, and resizing can be done via a simple stop/start or instance type change in the AWS console, with no application reconfiguration required. In real-world scenarios, customers often overlook that HANA scale-out requires SAP-specific licensing and may introduce performance penalties due to internode communication over the network.
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 PAS-C01 question test?
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: Resize the instance to a larger instance type in the r5 family. — Resizing the instance to a larger type within the r5 family (e.g., r5.12xlarge or r5.16xlarge) directly increases vCPU and memory capacity without changing the instance family, which is the most cost-effective approach for a single-node SAP HANA deployment. This avoids the complexity, licensing costs, and network latency of scale-out configurations while meeting the CPU demand.
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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Last reviewed: Jul 4, 2026
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