PAS-C01 Design of SAP Workloads on AWS Practice Question
Which TWO are required considerations when sizing an SAP HANA instance on AWS for a production environment? (Choose two.)
⚠ Common exam trap
A common mix-up: candidates confuse storage persistence requirements with instance store vs. EBS, or mistakenly think RDS can host SAP HANA, when in fact SAP HANA requires certified EC2 instances and specific EBS configurations for production 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
✓
Ensure the instance has enough memory to hold the HANA data in memory (RAM:data ratio).
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.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Provision instance store volumes for HANA data and log areas.
Why it's wrong here
Instance store is ephemeral; HANA requires persistent storage like EBS.
- ✗
Purchase Reserved Instances for the HANA server to reduce costs.
Why it's wrong here
Reserved Instances are a billing option, not a sizing requirement.
- ✓
Ensure the instance has enough memory to hold the HANA data in memory (RAM:data ratio).
Why this is correct
HANA is in-memory; data must fit in RAM for performance.
- ✓
Provision EBS volumes with sufficient IOPS for the HANA workload.
Why this is correct
IOPS provisioning is essential for HANA performance.
- ✗
Select an RDS instance type that supports SAP HANA.
Why it's wrong here
SAP HANA on AWS runs on EC2, not RDS.
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