PAS-C01 HANA EC2 Best Practices Practice Question
A company is planning to run SAP HANA on AWS. Which three are best practices for configuring the EC2 instance for SAP HANA? (Choose THREE.)
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
✓
Enable CPU hyper-threading
(Enable CPU hyper-threading) is correct. For SAP HANA, hyper-threading is enabled by default and recommended for production workloads as it improves performance. Option C (Use EBS-optimized instances) is correct because EBS-optimized instances provide dedicated throughput between EC2 and EBS, ensuring consistent storage performance for HANA data and log volumes. Option E (Use placement groups for HANA instances) is correct. Placement groups enable low-latency, high-throughput networking between instances in the same group, which is critical for HANA scale-out or HA setups. Option B (Use burstable instance types (T2/T3)) is incorrect because burstable instances rely on CPU credits and are not designed for sustained high CPU utilization; they are not suitable for production HANA workloads. Option D (Allocate swap space on the instance) is incorrect because SAP HANA relies on in-memory processing and swap space is not recommended; it can degrade performance and is typically disabled.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Enable CPU hyper-threading
Why this is correct
Hyper-threading is recommended for HANA.
- ✗
Use burstable instance types (T2/T3)
Why it's wrong here
Burstable instances are not suitable for production HANA.
- ✓
Use EBS-optimized instances
Why this is correct
Ensures dedicated EBS bandwidth.
- ✗
Allocate swap space on the instance
Why it's wrong here
Swap is not recommended for HANA; it uses memory.
- ✓
Use placement groups for HANA instances
Why this is correct
Placement groups provide low latency.
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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