PAS-C01 Design of SAP Workloads on AWS Practice Question
A company has an SAP HANA database on an r5.8xlarge EC2 instance. The database is experiencing high CPU utilization during peak hours. The company wants to improve performance without changing the instance family. Which action should be taken?
⚠ Common exam trap
Many candidates assume any larger instance type will work, but the question explicitly restricts staying within the same instance family, making Option A a distractor that offers more CPU but violates the constraint.
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
✓
Scale up to a larger instance size within the r5 family, such as r5.12xlarge.
The r5.8xlarge instance is experiencing high CPU utilization, and the requirement is to improve performance without changing the instance family. Scaling up to a larger instance size within the same r5 family, such as r5.12xlarge, provides more vCPUs and memory while maintaining compatibility with the existing SAP HANA workload and AWS architecture. This approach avoids the complexity of migrating to a different instance family and ensures that the SAP HANA database can leverage additional compute resources directly.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Change the instance type to x1e.32xlarge for more CPU.
Why it's wrong here
Changing to x1e changes the instance family.
- ✓
Scale up to a larger instance size within the r5 family, such as r5.12xlarge.
Why this is correct
Increasing instance size provides more vCPUs and memory, staying in the same family.
- ✗
Use a burstable performance instance like t3.2xlarge.
Why it's wrong here
Burstable instances are not suitable for SAP HANA production workloads.
- ✗
Enable CPU hyper-threading on the instance.
Why it's wrong here
Hyper-threading is typically already enabled on Nitro-based instances.
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