PAS-C01 Design of SAP Workloads on AWS Practice Question
A company runs SAP HANA on AWS. The system is experiencing high CPU utilization during peak hours. Which TWO actions should the administrator take to address this? (Choose two.)
⚠ Common exam trap
Candidates often confuse storage scaling (Option B) with compute scaling, or incorrectly believe disabling compression reduces CPU load, when in fact compression reduces CPU overhead by minimizing data movement.
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
✓
Right-size the EC2 instance to a larger type with more vCPUs.
Right-sizing the EC2 instance to a larger type with more vCPUs directly addresses high CPU utilization by providing additional compute capacity for peak workloads. SAP HANA is CPU-intensive, especially during query processing and data compression, so increasing vCPUs alleviates the bottleneck without requiring architectural changes.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Disable HANA columnar compression to reduce CPU overhead.
Why it's wrong here
Compression reduces I/O and CPU; disabling it increases CPU.
- ✗
Increase the size of the /hana/data EBS volumes.
Why it's wrong here
Volume size does not affect CPU.
- ✗
Reduce the network throughput of the EC2 instance.
Why it's wrong here
Reducing throughput does not help CPU.
- ✓
Right-size the EC2 instance to a larger type with more vCPUs.
Why this is correct
Provides more CPU capacity.
- ✓
Configure HANA workload management to limit resource-intensive queries.
Why this is correct
Prevents runaway queries from consuming CPU.
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