PAS-C01 Design of SAP Workloads on AWS Practice Question
Which THREE factors should be considered when sizing an EC2 instance for SAP HANA? (Choose THREE.)
⚠ Common exam trap
Watch out — candidates often 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.
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.
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.
- ✗
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.
- ✓
vCPU and network throughput requirements
Why this is correct
These affect performance.
- ✗
Instance store availability for HANA data
Why it's wrong here
Instance store is ephemeral, not suitable for persistent data.
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