PAS-C01 Design of SAP Workloads on AWS Practice Question
Which TWO of the following are recommended best practices for deploying SAP HANA on AWS? (Choose two.)
⚠ Common exam trap
Many candidates confuse 'disabling hyper-threading' (a requirement for on-premises HANA deployments) with AWS best practices, where hyper-threading must remain enabled to leverage the full CPU capacity of the instance.
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
✓
Use EBS-optimized instances for HANA workloads.
EBS-optimized instances provide dedicated network bandwidth for Amazon EBS I/O, which is critical for SAP HANA's high-throughput, low-latency storage requirements. Without EBS optimization, network traffic can contend with EBS traffic, causing performance degradation and potential SLA violations for HANA workloads.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Deploy HANA in a single Availability Zone to reduce costs.
Why it's wrong here
Single AZ does not provide high availability.
- ✗
Disable hyper-threading on the HANA instance.
Why it's wrong here
SAP HANA benefits from multi-threading.
- ✗
Store HANA data on instance store volumes for better performance.
Why it's wrong here
Instance store volumes are ephemeral and data is lost on instance stop or termination, which violates the durability requirement for SAP HANA production databases that demand persistent storage. This option tempts because instance stores offer lower latency than EBS, making them ideal for temporary, high-throughput workloads like caching or scratch files, where data loss is acceptable.
- ✓
Use EBS-optimized instances for HANA workloads.
Why this is correct
EBS-optimized instances dedicate network bandwidth exclusively to Amazon EBS I/O, preventing contention between storage traffic and other network flows. This satisfies the SAP HANA requirement for consistent, low-latency access to persistent storage, as HANA’s savepoint and log writes demand predictable disk performance without throttling from shared network resources.
- ✓
Use EBS snapshots for backup of HANA data volumes.
Why this is correct
EBS snapshots provide consistent backups.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
Go deeper
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