PAS-C01 Technology Practice Question
Which THREE factors should be considered when choosing an EC2 instance type for an SAP HANA production system? (Choose three.)
⚠ Common exam trap
The trap here is that candidates may mistakenly choose GPU capabilities (Option A) due to confusion with machine learning or HPC workloads, or select EBS optimization (Option D) as a primary factor, when in reality SAP HANA's memory-centric design and certification requirements make RAM, network performance, and processor architecture the decisive criteria.
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
✓
Amount of memory (RAM) required.
SAP HANA is an in-memory database that loads all data into RAM for processing, making memory the primary determinant of instance sizing. The amount of RAM required directly dictates the EC2 instance family and size, as SAP HANA certified instances are specifically validated for memory-to-vCPU ratios and total memory capacity.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
GPU capabilities for parallel processing.
Why it's wrong here
HANA does not use GPU.
- ✓
Amount of memory (RAM) required.
Why this is correct
HANA is memory-intensive.
- ✓
Network throughput and latency.
Why this is correct
Affects data transfer performance.
- ✗
Support for EBS optimization.
Why it's wrong here
Not a primary factor.
- ✓
Processor architecture (Intel/AMD vs ARM).
Why this is correct
HANA is certified on specific architectures.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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