- A
Change the EBS volume type to gp2 with a larger size.
Why wrong: gp2 may not provide better performance.
- B
Increase the gp3 volume IOPS to 32,000 to reduce read latency.
Why wrong: Higher IOPS may improve latency but CPU remains high.
- C
Replace the instance with an x1e.16xlarge instance to increase CPU and memory capacity.
More vCPUs and memory will handle the workload.
- D
Enable EBS optimization on the EC2 instance.
Why wrong: x1e instances are already EBS-optimized by default.
PAS-C01 Instance Sizing for SAP HANA Practice Question
This PAS-C01 practice question tests your understanding of technology. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. A key principle to apply: instance Sizing for SAP HANA. 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 its SAP ERP system on AWS using SAP HANA as the database. The HANA database is deployed on an EC2 instance with 2 TB of memory. The system has been running for months, but recently the application team reported that some queries are taking significantly longer than usual. The operations team checks the CloudWatch metrics and sees that the database instance's CPU utilization is consistently above 90% during peak hours. They also notice that the EBS volume used for HANA data files has a read latency of over 20 ms. The volume is a gp3 volume with 16,000 IOPS. The instance type is an x1e.8xlarge. The team suspects that the instance is not optimized for the workload. What should they do to resolve the performance issue?
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
Replace the instance with an x1e.16xlarge instance to increase CPU and memory capacity.
Option C is correct because the high CPU utilization and read latency indicate that the x1e.8xlarge instance is undersized for the workload. Upgrading to x1e.16xlarge doubles both vCPUs and memory, which directly addresses the CPU bottleneck and provides more memory for HANA. Option A is wrong because gp2 with larger size does not guarantee lower latency and does not fix CPU. Option B is wrong because increasing IOPS on gp3 reduces latency but does not address the CPU constraint. Option D is wrong because EBS optimization is already enabled by default on x1e instances, so it won't help.
Key principle: Instance Sizing for SAP HANA
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Change the EBS volume type to gp2 with a larger size.
Why it's wrong here
gp2 may not provide better performance.
- ✗
Increase the gp3 volume IOPS to 32,000 to reduce read latency.
Why it's wrong here
Higher IOPS may improve latency but CPU remains high.
- ✓
Replace the instance with an x1e.16xlarge instance to increase CPU and memory capacity.
Why this is correct
More vCPUs and memory will handle the workload.
Related concept
Instance Sizing for SAP HANA
- ✗
Enable EBS optimization on the EC2 instance.
Why it's wrong here
x1e instances are already EBS-optimized by default.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
Treat this as a scenario question. Identify the problem, the constraint, and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- Instance Sizing for SAP HANA
- EBS-Optimized Instances
- gp3 Volume IOPS and Latency
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
Instance Sizing for SAP HANA
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Instance Sizing for SAP HANA Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
Visual reference
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this PAS-C01 question test?
Technology — This question tests Technology — Instance Sizing for SAP HANA.
What is the correct answer to this question?
The correct answer is: Replace the instance with an x1e.16xlarge instance to increase CPU and memory capacity. — Option C is correct because the high CPU utilization and read latency indicate that the x1e.8xlarge instance is undersized for the workload. Upgrading to x1e.16xlarge doubles both vCPUs and memory, which directly addresses the CPU bottleneck and provides more memory for HANA. Option A is wrong because gp2 with larger size does not guarantee lower latency and does not fix CPU. Option B is wrong because increasing IOPS on gp3 reduces latency but does not address the CPU constraint. Option D is wrong because EBS optimization is already enabled by default on x1e instances, so it won't help.
What should I do if I get this PAS-C01 question wrong?
Review instance Sizing for SAP HANA, then practise related PAS-C01 questions on the same topic to reinforce the concept.
What is the key concept behind this question?
Instance Sizing for SAP HANA
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Last reviewed: Jun 20, 2026
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