PAS-C01 Design of SAP Workloads on AWS Practice Question
A company is using SAP S/4HANA on AWS and wants to optimize costs. Which THREE actions would help reduce costs without impacting performance? (Choose THREE.)
⚠ Common exam trap
Many exam-takers confuse Dedicated Hosts with cost optimization, but Dedicated Hosts are primarily for licensing compliance and actually increase costs, while gp2 volumes are often mistakenly considered acceptable for SAP workloads despite their inability to meet the performance requirements of SAP S/4HANA.
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
✓
Implement automatic start/stop for development and test instances
Development and test instances for SAP S/4HANA do not require 24/7 availability. Implementing automatic start/stop schedules using AWS Instance Scheduler or AWS Lambda reduces compute costs by up to 70% for these non-production instances without affecting production performance, as the instances are only active during business hours or testing windows.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Implement automatic start/stop for development and test instances
Why this is correct
Stopping instances when not in use reduces costs.
- ✓
Use AWS Compute Optimizer to right-size EC2 instances
Why this is correct
Rightsizing eliminates over-provisioned resources.
- ✗
Use Dedicated Hosts for better isolation
Why it's wrong here
Dedicated Hosts are more expensive than shared tenancy.
- ✗
Replace io2 Block Express volumes with gp2 volumes
Why it's wrong here
gp2 may not provide adequate performance for HANA.
- ✓
Purchase Reserved Instances for the production database server
Why this is correct
Reserved Instances offer significant discounts for steady-state workloads.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
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