- A
Total memory available on the instance
SAP HANA requires enough memory to hold data.
- B
GPU acceleration for HANA calculations
Why wrong: GPU is not typically used for SAP HANA.
- C
SAP HANA certification of the instance type
Only certified instances are supported.
- D
vCPU and network throughput requirements
These affect performance.
- E
Instance store availability for HANA data
Why wrong: Instance store is ephemeral, not suitable for persistent data.
Question 203 of 1,733
Sizing an EC2 Instance for SAP HANA
This PAS-C01 practice question tests your understanding of design of sap workloads on aws. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.
Which THREE factors should be considered when sizing an EC2 instance for SAP HANA? (Choose THREE.)
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
✓
Total memory available on the instance
SAP HANA is an in-memory database, meaning all data must reside in RAM for processing. The total memory available on the EC2 instance directly determines the maximum size of the HANA database that can be supported, as the database must fit entirely within the instance's memory. AWS provides specific EC2 instance types (e.g., x1e.32xlarge, u-6tb1.112xlarge) with large memory capacities to meet HANA's requirements.
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.
- ✓
Total memory available on the instance
Why this is correct
SAP HANA requires enough memory to hold data.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
GPU acceleration for HANA calculations
Why it's wrong here
GPU is not typically used for SAP HANA.
- ✓
SAP HANA certification of the instance type
Why this is correct
Only certified instances are supported.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
vCPU and network throughput requirements
Why this is correct
These affect performance.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Instance store availability for HANA data
Why it's wrong here
Instance store is ephemeral, not suitable for persistent data.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse instance store volumes with persistent storage for HANA data, but HANA requires durable, non-ephemeral storage (EBS or dedicated) and does not use instance stores for database persistence.
Detailed technical explanation
How to think about this question
SAP HANA's memory sizing must account for the database size plus overhead for row stores, column stores, and delta merge operations, typically requiring 1.5x the raw data size. AWS offers HANA-certified instance types that are validated through the SAP HANA Tailored Data Center Integration (TDI) program, ensuring memory, CPU, and network configurations meet SAP's performance benchmarks. Network throughput is critical for HANA system replication and client access, as insufficient bandwidth can cause latency and replication lag.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
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?
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: Total memory available on the instance — SAP HANA is an in-memory database, meaning all data must reside in RAM for processing. The total memory available on the EC2 instance directly determines the maximum size of the HANA database that can be supported, as the database must fit entirely within the instance's memory. AWS provides specific EC2 instance types (e.g., x1e.32xlarge, u-6tb1.112xlarge) with large memory capacities to meet HANA's requirements.
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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Same concept, more angles
1 more ways this is tested on PAS-C01
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. Which TWO are required considerations when sizing an SAP HANA instance on AWS for a production environment? (Choose two.)
hard- A.Provision instance store volumes for HANA data and log areas.
- B.Purchase Reserved Instances for the HANA server to reduce costs.
- ✓ C.Ensure the instance has enough memory to hold the HANA data in memory (RAM:data ratio).
- ✓ D.Provision EBS volumes with sufficient IOPS for the HANA workload.
- E.Select an RDS instance type that supports SAP HANA.
Why C: Option C is correct because SAP HANA is an in-memory database that requires all active data to reside in RAM. The RAM:data ratio must be carefully sized to ensure the instance has enough memory to hold the HANA data and log volumes in memory, typically with a 1:4 or 1:8 ratio depending on compression and workload. AWS provides specific instance types (e.g., x1e, u-6tb1) certified for SAP HANA that meet these memory requirements.
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Last reviewed: Jul 4, 2026
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